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How Social and Humanities Researchers Conduct Scientometric Studies? Methods, Databases, and Tools

Yıl 2023, Cilt: 1 Sayı: 1, 36 - 57, 27.07.2023

Öz

The evaluation and measurement of scientific output have become vital for research fields and institutions that shape the realm of science. In scientific assessment and appraisal, it is crucial to recognize contemporary approaches, instruments, and resources and utilize them precisely and dependably. As a specialized area of research, Scientometrics adopts efficient analytical methods and is extensively used to gauge scientific productivity, remaining pertinent in today's world. Nevertheless, the execution of scientometric studies in social sciences and humanities is affected by specific factors inherent to these domains. This study presents a thorough and current insight into the conceptual framework, methodologies, tools, and data sources that can be employed for conducting scientometric research in the social sciences and humanities based on a literature review. The literature review examines performance metrics and analytical methods concerning the software's features. This investigation explores scientometric analyses' methods, tools, and software. Seven free software were evaluated for the design of the scientometric inquiry, in addition to two R programming language packages and three Python programming language packages designed for the same objective. The research emphasizes scientometric analysis techniques, bibliographic databases, and concepts, providing scholars in the social sciences and humanities with a comprehensive understanding of these methods

Kaynakça

  • Acedo, F. J., Barroso, C. ve Galan, J. L. (2006). The Resource-Based Theory: Dissemination and Main Trends. Strategic Management Journal, 27(7), 621-636. https://doi.org/10.1002/smj.532
  • Aksnes, D. W., Langfeldt, L. ve Wouters, P. (2019). Citations, citation indicators, and research quality: An overview of basic concepts and theories. Sage Open, 9(1). https://doi.org/10.1177/2158244019829575
  • Aksnes, D. W. ve Taxt, R. E. (2004). Peer reviews and bibliometric indicators: A comparative study at a norwegian university. Research Evaluation, 13(1), 33-41. https://doi.org/10.3152/147154404781776563
  • Alonso, S., Cabrerizo, F., Herrera-Viedma, E. ve Herrera, F. (2010). hg-index: A new index to characterize the scientific output of researchers based on the h-and g-indices. Scientometrics, 82(2), 391-400. https://doi.org/10.1007/s11192-009-0047-5
  • Aria, M. ve Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
  • Baas, J., Schotten, M., Plume, A., Côté, G. ve Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative science studies, 1(1), 377-386. https://doi.org/10.1162/qss_a_00019
  • Bar-Ilan, J. (2008). Informetrics at the beginning of the 21st century—A review. Journal of Informetrics, 2(1), 1-52. https://doi.org/10.1016/j.joi.2007.11.001
  • Bettencourt, L. M. ve Kaur, J. (2011). Evolution and structure of sustainability science. Proceedings of the National Academy of Sciences, 108(49), 19540-19545. https://doi.org/10.1073/pnas.1102712108
  • Björneborn, L. ve Ingwersen, P. (2004). Toward a basic framework for webometrics. Journal of the American society for information science and technology, 55(14), 1216-1227. https://doi.org/10.1002/asi.20077
  • Blackert, L. ve Siegel, K. (1979). Ist in der wissenschaftlich-technischen information platz für die informetrie. Wissenschaftliche Zeitschrift der Technischen Hochschule Ilmenau, 25(6), 187-199.
  • Bonaccorsi, A., Daraio, C., Fantoni, S., Folli, V., Leonetti, M. ve Ruocco, G. (2017). Do social sciences and humanities behave like life and hard sciences? Scientometrics, 112(1), 607-653. https://doi.org/10.1007/s11192-017-2384-0
  • Bornmann, L., Mutz, R. ve Daniel, H.-D. (2008). Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine. Journal of the American Society for Information Science and Technology, 59(5), 830-837. https://doi.org/10.1002/asi.20806
  • Bornmann, L., Mutz, R., Hug, S. E. ve Daniel, H.-D. (2011). A Multilevel Meta-Analysis of Studies Reporting Correlations Between the h Index and 37 Different h Index Variants. Journal of Informetrics, 5(3), 346-359. https://doi.org/10.1016/j.joi.2011.01.006
  • Borrego, Á., Ardanuy, J. ve Arguimbau, L. (2023). Crossref as a bibliographic discovery tool in the arts and humanities. Quantitative Science Studies, 4(1), 91-104. https://doi.org/10.1162/qss_a_00240
  • Boyack, K. W. ve Klavans, R. (2010). Co-Citation Analysis, Bibliographic Coupling, and Direct Citation: Which Citation Approach Represents the Research Front Most Accurately? Journal of the American Society for information Science and Technology, 61(12), 2389-2404. https://doi.org/10.1002/asi.21419
  • Bozeman, B. ve Sarewitz, D. (2011). Public value mapping and science policy evaluation. Minerva, 49(1), 1-23. https://doi.org/10.1007/s11024-011-9161-7
  • Brown, R. J. (2009). A Simple Method for Excluding Self-Citation from the h-Index: The b-Index. Online Information Review, 33(6), 1129-1136. https://doi.org/10.1108/14684520911011043
  • Callon, M., Courtial, J.-P. ve Laville, F. (1991). Co-Word Analysis as a Tool for Describing the Network of Interactions Between Basic and Technological Research: The Case of Polymer Chemsitry. Scientometrics, 22(1), 155-205. https://doi.org/10.1007/BF02019280
  • Chen, C. (2004). Searching for Intellectual Turning Points: Progressive Knowledge Domain Visualization. Proceedings of the National Academy of Sciences, 101(suppl_1), 5303-5310. https://doi.org/10.1073/pnas.0307513100
  • Chen, C. (2006). CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. Journal of the American Society for information Science and Technology, 57(3), 359-377. https://doi.org/10.1002/asi.20317
  • Chen, C. (2012). Predictive Effects of Structural Variation on Citation Counts. Journal of the American Society for Information Science and Technology, 63(3), 431-449. https://doi.org/10.1002/asi.21694
  • Chen, C. (2016). CiteSpace: A practical guide for mapping scientific literature. Nova Science Publishers.
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E. ve Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for information Science and Technology, 62(7), 1382-1402. https://doi.org/10.1002/asi.21525
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., ve Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609-1630. https://doi.org/10.1002/asi.22688
  • Coccia, M. (2005). Technometrics: Origins, historical evolution and new directions. Technological Forecasting and Social Change, 72(8), 944-979. https://doi.org/10.1016/j.techfore.2005.05.011
  • Comins, J. A. ve Hussey, T. W. (2015). Compressing Multiple Scales of Impact Detection by Reference Publication Year Spectroscopy. Journal of Informetrics, 9(3), 449-454. https://doi.org/10.1016/j.joi.2015.03.003
  • Cronin, B. (2013). From signtometrics to scientometrics: A cautionary tale of our times. Journal of Information Science Theory and Practice, 1(4), 6-11. https://doi.org/10.1633/JISTaP.2013.1.4.1
  • da Silva, J. T., Dobránszki, J., Al-Khatib, A. ve Tsigaris, P. (2018). Challenges facing the DOAJ (Directory of Open Access Journals) as a reliable source of open access publishing venuess. Journal of Educational Media & Library Sciences, 55(3), 349-358. https://doi.org/10.6120/JoEMLS.201811_55(3).e003.BC.BE
  • De Bellis, N. (2009). Bibliometrics and citation analysis: From the science citation index to cybermetrics. Scarecrow Press.
  • Düzyol, G. (2011). Türkiye kütüphanecilik ve bilgibilim literatürünün entellektüel haritasının çıkarılması: Bir yazar ortak atıf analizi çalışması [Yüksek Lisans Tezi]. Hacettepe Üniversitesi.
  • Egghe, L. (2005). Expansion of the Field of Informetrics: Origins and Consequences. Information Processing & Management, 41(6), 1311-1316. https://doi.org/10.1016/j.ipm.2005.03.011
  • Egghe, L. (2006). Theory and Practise of the g-Index. Scientometrics, 69(1), 131-152. https://doi.org/10.1007/s11192-006-0144-7
  • Fischer, A. R., Tobi, H. ve Ronteltap, A. (2011). When natural met social: A review of collaboration between the natural and social sciences. Interdisciplinary Science Reviews, 36(4), 341-358. https://doi.org/10.1179/030801811X13160755918688
  • Franssen, T. ve Wouters, P. (2019). Science and its significant other: Representing the humanities in bibliometric scholarship. Journal of the Association for Information Science and Technology, 70(10), 1124-1137. https://doi.org/10.1002/asi.24206
  • Fricke, S. (2018). Semantic Scholar. Journal of the Medical Library Association: JMLA, 106(1), 145. https://doi.org/10.5195/jmla.2018.280
  • Gagolewski, M. (2011). Bibliometric Impact Assessment with R and the CITAN Package. Journal of Informetrics, 5(4), 678-692. https://doi.org/10.1016/j.joi.2011.06.006
  • Garfield, E. (1964). “Science Citation Index”—A new dimension in indexing: This unique approach underlies versatile bibliographic systems for communicating and evaluating information. Science, 144(3619), 649-654. https://doi.org/10.1126/science.144.3619.649
  • Garfield, E. (1979). Is citation analysis a legitimate evaluation tool? Scientometrics, 1, 359-375. https://doi.org/10.1007/BF02019306
  • Georgas, H. (2014). Google vs. The library (part ii): Student search patterns and behaviors when using google and a federated search tool. portal: Libraries and the Academy, 14(4), 503-532. https://doi.org/10.1353/pla.2014.0034
  • Gingras, Y. (2016). Bibliometrics and research evaluation: Uses and abuses. MIT Press. Godin, B. (2006). On the origins of bibliometrics. Scientometrics, 68(1), 109-133. https://doi.org/10.1007/s11192-006-0086-0
  • Grauwin, S. (2023). BiblioTools / BiblioMaps [Personal Webpage]. http://www.sebastian-grauwin.com/bibliomaps/index.html
  • Grauwin, S. ve Jensen, P. (2011). Mapping scientific institutions. Scientometrics, 89(3), 943-954. https://doi.org/10.1007/s11192-011-0482-y
  • Grauwin, S. ve Sperano, I. (2018). Bibliomaps-a software to create web-based interactive maps of science: The case of UX map. Proceedings of the Association for Information Science and Technology, 55(1), 815-816. https://doi.org/10.1002/pra2.2018.14505501129
  • Harzing, A.-W. (2019). Two new kids on the block: How do crossref and dimensions compare with google scholar, microsoft academic, scopus and the web of science? Scientometrics, 120(1), 341-349. https://doi.org/10.1007/s11192-019-03114-y
  • Harzing, A.-W. ve Alakangas, S. (2017). Microsoft academic is one year old: The phoenix is ready to leave the nest. Scientometrics, 112(3), 1887-1894. https://doi.org/10.1007/s11192-017-2454-3
  • Haunschild, R. ve Bornmann, L. (2022). Reference publication year spectroscopy (RPYS) in practice: A software tutorial. Scientometrics, 1-19.
  • Hellqvist, B. (2010). Referencing in the humanities and its implications for citation analysis. Journal of the American Society for Information Science and Technology, 61(2), 310-318.
  • Hendricks, G., Tkaczyk, D., Lin, J. ve Feeney, P. (2020). Crossref: The sustainable source of community-owned scholarly metadata. Quantitative Science Studies, 1(1), 414-427. https://doi.org/10.1162/qss_a_00022
  • Herzog, C., Hook, D. ve Konkiel, S. (2020). Dimensions: Bringing down barriers between scientometricians and data. Quantitative Science Studies, 1(1), 387-395. https://doi.org/10.1162/qss_a_00020
  • Hess, D. J. (1997). Science studies: An advanced introduction. NYU Press.
  • Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569-16572. https://doi.org/10.1073/pnas.0507655102
  • Hood, W. W. ve Wilson, C. S. (2001). The Literature of Bibliometrics, Scientometrics, and Informetrics. Scientometrics, 52(2), 291-314. https://doi.org/10.1023/A:1017919924342
  • Hook, D. W., Porter, S. J. ve Herzog, C. (2018). Dimensions: Building Context for Search and Evaluation. Frontiers in Research Metrics and Analytics, 3, 23. https://doi.org/10.3389/frma.2018.00023
  • Jefferson, O. A., Koellhofer, D., Warren, B. ve Jefferson, R. (2019). The Lens MetaRecord and LensID: An open identifier system for aggregated metadata and versioning of knowledge artefacts. LIS Scholarship Archive. https://doi.org/10.31229/osf.io/t56yh
  • Jefferson, O. A., Lang, S., Williams, K., Koellhofer, D., Ballagh, A., Warren, B., Schellberg, B., Sharma, R. ve Jefferson, R. (2021). Mapping CRISPR-Cas9 public and commercial innovation using The Lens institutional toolkit. Transgenic Research, 30(4), 585-599. https://doi.org/10.1007/s11248-021-00237-y
  • Jin, B., Liang, L., Rousseau, R. ve Egghe, L. (2007). The R-and AR-Indices: Complementing the h-Index. Chinese Science Bulletin, 52(6), 855-863. https://doi.org/10.1007/s11434-007-0145-9
  • Klavans, R. ve Boyack, K. W. (2017). Which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge? Journal of the Association for Information Science and Technology, 68(4), 984-998. https://doi.org/10.1002/asi.23734
  • Lavik, G. A. V. ve Sivertsen, G. (2017). ERIH PLUS–Making the SSH visible, searchable and available. Procedia Computer Science, 106, 61-65. https://doi.org/10.1016/j.procs.2017.03.035
  • López-Cózar, E. D., Orduña-Malea, E., Martín-Martín, A. ve Ayllón, J. M. (2017a). Google Scholar: The big data bibliographic tool. F. J. Cantu-Ortiz (Ed.), Research Analytics içinde (ss. 59-80). Auerbach Publications. https://doi.org/10.1201/9781315155890
  • López-Cózar, E. D., Orduña-Malea, E., Martín-Martín, A. ve Ayllón, J. M. (2017b). Google scholar: The big data bibliographic tool. Research Analytics içinde (ss. 59-80). Auerbach Publications.
  • Lund, B. (2022). Bibliometrics Is Valuable Science. Why do some journals seem to oppose it? Journal of Data and Information Science, 7(3), 4-7. https://doi.org/10.2478/jdis-2022-0012
  • Mählck, P. ve Persson, O. (2000). Socio-bibliometric mapping of intra-departmental networks. Scientometrics, 49(1), 81-91. https://doi.org/10.1023/A:1005661208810
  • Martín-Martín, A., Orduña-Malea, E., Ayllón, J. M. ve Delgado López-Cózar, E. (2016). Back to the past: On the shoulders of an academic search engine giant. Scientometrics, 107, 1477-1487. https://doi.org/10.1007/s11192-016-1917-2
  • Marx, W. ve Bornmann, L. (2014). Tracing the origin of a scientific legend by reference publication year spectroscopy (RPYS): The legend of the Darwin finches. Scientometrics, 99, 839-844. https://doi.org/10.1007/s11192-013-1200-8
  • Marx, W., Bornmann, L., Barth, A. ve Leydesdorff, L. (2014). Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS). Journal of the Association for Information Science and Technology, 65(4), 751-764. https://doi.org/10.1002/asi.23089
  • McLevey, J. ve McIlroy-Young, R. (2017). Introducing Metaknowledge: Software for computational research in information science, network analysis, and science of science. Journal of Informetrics, 11(1), 176-197. https://doi.org/10.1016/j.joi.2016.12.005
  • Meagher, L., Lyall, C. ve Nutley, S. (2008). Flows of knowledge, expertise and influence: A method for assessing policy and practice impacts from social science research. Research Evaluation, 17(3), 163-173. https://doi.org/10.3152/095820208x331720
  • Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A. ve Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29(1). https://doi.org/10.3145/epi.2020.ene.03
  • Morrison, H. (2017). Directory of Open Access Journals (DOAJ). The Charleston Advisor, 18(3), 25-28. https://doi.org/10.5260/chara.18.3.25
  • Mouratidis, R. W. (2019). Dimensions. Journal of the Medical Library Association: JMLA, 107(3), 459. https://doi.org/10.5195/jmla.2019.695
  • Nacke, O. (1979). Informetrie: Ein neuer name für eine neue disziplin. Begriffsbestimmung, wissensstand und entwicklungsprinzipien.
  • Nalimov, V. ve Mulcjenko, B. (1971). Measurement of Science. Study of the Development of Science as an Information Process. https://eric.ed.gov/?id=ED065286
  • Nerur, S. P., Rasheed, A. A. ve Natarajan, V. (2008). The intellectual structure of the strategic management field: An author co-citation analysis. Strategic Management Journal, 29(3), 319-336. https://doi.org/10.1002/smj.659
  • Ochsner, M., Hug, S. ve Galleron, I. (2017). The future of research assessment in the humanities: Bottom-up assessment procedures. Palgrave Communications, 3(1), 1-12. https://doi.org/10.1057/palcomms.2017.20
  • Penfold, R. (2020). Using the Lens database for staff publications. Journal of the Medical Library Association: JMLA, 108(2), 341. https://doi.org/10.5195/jmla.2020.918
  • Persson, O., Danell, R. ve Schneider, J. W. (2009). How to use bibexcel for various types of bibliometric analysis. F. Åström, R. Danell, B. Larsen, ve J. Schneider (Ed.), Celebrating Scholarly Communication Studies: A Festschrift for Olle Persson at his 60th Birthday içinde (ss. 9-24). International Society for Scientometrics and Informetrics.
  • Persson, O., Stern, P. ve Holmberg, K. (1992). BIBMAP: a toolbox for mapping the structure of scientific literature (P. Weingart, R. Sehringer, ve M. Winterhager, Ed.; ss. 189-199). DSWO Press.
  • Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, 9(1), 12. https://doi.org/10.3390/publications9010012
  • Price, J. D. de S. (1963). Little science, big science. Columbia University Press.
  • Priem, J., Groth, P. ve Taraborelli, D. (2012). The altmetrics collection. PLoS ONE, 7(11): e48753. https://doi.org/10.1371/journal.pone.0048753
  • Priem, J., Taraborelli, D., Groth, P. ve Neylon, C. (2010, October 26). Altmetrics: A manifesto. http://altmetrics.org/manifesto
  • Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348-349. Proctor, R. W. ve Capaldi, E. (2006). The new means of understanding science. Why Science Matters: Understanding the Methods of Psychological Research içinde (ss. 96-118). Blackwell Publishing.
  • Retzer, V. ve Jurasinski, G. (2009). Towards objectivity in research evaluation using bibliometric indicators–a protocol for incorporating complexity. Basic and Applied Ecology, 10(5), 393-400. https://doi.org/10.1016/j.baae.2008.09.001
  • Rousseau, R. (2006). New Developments Related to the Hirsch Index. Science Focus, 4(1), 23-25.
  • Rousseau, R. (2014). Forgotten founder of bibliometrics. Nature, 510(7504), 218-218. https://doi.org/10.1038/510218e
  • Rousseau, R., Egghe, L. ve Guns, R. (2018). Becoming metric-wise: A bibliometric guide for researchers. Chandos Publishing.
  • Ruiz-Rosero, J., Ramírez-González, G. ve Viveros-Delgado, J. (2019). Software survey: Scientopy, a scientometric tool for topics trend analysis in scientific publications. Scientometrics, 121(2), 1165-1188. https://doi.org/10.1007/s11192-019-03213-w
  • Scheidsteger, T. ve Haunschild, R. (2023). Which of the metadata with relevance for bibliometrics are the same and which are different when switching from Microsoft Academic Graph to OpenAlex? Profesional de la información, 32(2). https://doi.org/10.3145/epi.2023.mar.09
  • Sci2 Team, S. (2009). Science of science studies: Sci2 Tool. Indiana University and SciTech Strategies. https://sci2.cns.iu.edu.
  • Skupin, A. (2014). Making a mark: A computational and visual analysis of one researcher’s intellectual domain. International Journal of Geographical Information Science, 28(6), 1209-1232. https://doi.org/10.1080/13658816.2014.906040
  • Slaughter, S. A. ve Leslie, L. E. (1997). Academic capitalism. Politics, policies and the entrepreneurial university. John Hopkins University Press.
  • Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, 24(4), 265-269. https://doi.org/10.1002/asi.4630240406
  • Sooryamoorthy, R. (2020). Scientometrics for the humanities and social sciences. Routledge. Stenson, L. (2012). Why all these directories? An introduction to DOAJ and DOAB. Insights, 25(3). https://doi.org/10.1629/2048-7754.25.3.251
  • Tague-Sutcliffe, J. (1992). An Introduction to informetrics. Information Processing & Management, 28(1), 1-3. https://doi.org/10.1016/0306-4573(92)90087-G
  • Tay, A., Hug, S. E. ve Martin-Martin, A. (2021, May 27). Goodbye, Microsoft Academic–hello, open research infrastructure? https://blogs.lse.ac.uk/impactofsocialsciences/2021/05/27/goodbye-microsoft-academic-hello-open-research-infrastructure/
  • Thelwall, M. (2018). Dimensions: A competitor to Scopus and the Web of Science? Journal of Informetrics, 12(2), 430-435. https://doi.org/10.1016/j.joi.2018.03.006
  • Thelwall, M., Vaughan, L. ve Björneborn, L. (2005). Webometrics. Annual Review of Information Science and Technology, 39(1), 81-135. https://doi.org/10.1002/aris.1440390110
  • Thor, A., Bornmann, L., Marx, W. ve Mutz, R. (2018). Identifying single influential publications in a research field: New analysis opportunities of the CRExplorer. Scientometrics, 116(1), 591-608. https://doi.org/10.1007/s11192-018-2733-7
  • Trujillo, C. M. ve Long, T. M. (2018). Document co-citation analysis to enhance transdisciplinary research. Science Advances, 4(1). https://doi.org/10.1126/sciadv.1701130
  • Van Eck, N. J. ve Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
  • Van Eck, N. J. ve Waltman, L. (2014a). CitNetExplorer: A new software tool for analyzing and visualizing citation networks. Journal of Informetrics, 8(4), 802-823. https://doi.org/10.1016/j.joi.2014.07.006
  • Van Eck, N. J. ve Waltman, L. (2014b). Visualizing bibliometric networks. Y. Ding, R. E. Rousseau, ve D. Wolfram (Ed.), Measuring scholarly impact: Methods and practice içine (ss. 285-320). Springer. https://doi.org/10.1007/978-3-319-10377-8_13
  • Van Eck, N. J. ve Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111, 1053-1070. https://doi.org/10.1007/s11192-017-2300-7
  • Van Eck, N. J. ve Waltman, L. (2023). VOSViewer Manual. CWTS. https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.19.pdf
  • Van Raan, A. F. (2004). Measuring science. U. Schmoch, W. Glänzel ve H. F. Moed (Ed.), Handbook of Quantitative Science and Technology Research içinde (ss. 19-50). Springer Dordrecht. https://doi.org/10.1007/1-4020-2755-9_2
  • Vinkler, P. (2009). The π-Index: A new indicator for assessing scientific impact. Journal of Information Science, 35(5), 602-612. https://doi.org/10.1177/0165551509103601
  • Visser, M., van Eck, N. J. ve Waltman, L. (2021). Large-scale comparison of bibliographic data sources: Scopus, web of science, dimensions, crossref, and microsoft academic. Quantitative Science Studies, 2(1), 20-41. https://doi.org/10.1162/qss_a_00112
  • Wang, K., Shen, Z., Huang, C., Wu, C.-H., Dong, Y. ve Kanakia, A. (2020). Microsoft academic graph: When experts are not enough. Quantitative Science Studies, 1(1), 396-413. https://doi.org/10.1162/qss_a_00021
  • White, H. D. (1981). Cocited author retrieval online: An experiment with the social indicators literature. Journal of the American Society for Information Science, 32(1), 16-21. https://doi.org/10.1002/asi.4630320103
  • White, H. D. (2001). Authors as citers over time. Journal of the American Society for Information Science and Technology, 52(2), 87-108. https://doi.org/10.1002/1097-4571(2000)9999:9999<::aid-asi1542>3.0.co;2-t
  • White, H. D. (2003). Author cocitation analysis and pearson’s r. Journal of the American Society for Information Science and Technology, 54(13), 1250-1259. https://doi.org/10.1002/asi.10325
  • White, H. D. ve Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32(3), 163-171. https://doi.org/10.1002/asi.4630320302
  • Wildgaard, L. (2015). A comparison of 17 author-level bibliometric indicators for researchers in astronomy, environmental science, philosophy and public health in Web of Science and Google Scholar. Scientometrics, 104(3), 873-906. https://doi.org/10.1007/s11192-015-1608-4
  • Wildgaard, L., Schneider, J. W. ve Larsen, B. (2014). A review of the characteristics of 108 author-level bibliometric indicators. Scientometrics, 101(1), 125-158. https://doi.org/10.1007/s11192-014-1423-3
  • Wu, Q. (2010). The w-Index: A measure to assess scientific impact by focusing on widely cited papers. Journal of the American Society for Information Science and Technology, 61(3), 609-614. https://doi.org/10.1002/asi.21276
  • Zan, B. U. (2019). Doğrudan atıf, ortak atıf ve bibliyografik eşleşme yaklaşımlarına dayalı olarak araştırma alanlarının değerlendirilmesi. Sosyal Bilimler Araştırmaları Dergisi, 14(2), 501-516.
  • Zhang, H., Li, D., Gu, X. ve Chen, N. (2022). Three decades of topic evolution, hot spot mining and prospect in ccus studies based on CitNetExplorer. Chinese Journal of Population, Resources and Environment, 20(1), 91-104. https://doi.org/10.1016/j.cjpre.2022.03.010
  • Zhang, L., Thijs, B. ve Glänzel, W. (2013). What does scientometrics share with other “metrics” sciences? Journal of the American Society for Information Science and Technology, 64(7), 1515-1518. https://doi.org/10.1002/asi.22834

Sosyal ve Beşerî Bilimler Araştırmacıları Bilimetrik Çalışmaları Nasıl Yürütür? Yöntemler, Veri tabanları ve Araçlar

Yıl 2023, Cilt: 1 Sayı: 1, 36 - 57, 27.07.2023

Öz

Bilimsel çıktıların değerlendirilmesi ve ölçülmesi, bilim dünyasını şekillendiren araştırma alanları ve kurumlar için hayati önem taşımaktadır. Bilimsel ölçme ve değerlendirmede çağdaş yaklaşımları, araçları ve kaynakları tanımak ve bunları doğru ve güvenilir bir şekilde kullanmak çok önemlidir. Özel bir araştırma alanı olarak bilimetri, etkili analitik yöntemleri benimser ve günümüz dünyasında geçerliliğini koruyan bilimsel üretkenliği ölçmek için yaygın olarak kullanılır. Bununla birlikte sosyal ve beşeri bilimlerdeki bilimetrik çalışmaların yürütülmesi, bu alanlara özgü faktörlerden etkilenmektedir. Bu çalışma, literatür taramasına dayalı olarak sosyal ve beşeri bilimlerde bilimetrik araştırma yürütmek için kullanılabilecek kavramsal çerçeve, metodolojiler, araçlar ve veri kaynakları hakkında kapsamlı ve güncel bir bakış açısı sunmaktadır. Literatür taraması, yazılımın özelliklerine ilişkin performans ölçütlerini ve analitik yöntemleri incelemektedir. Bu araştırma, bilimetrik analiz yöntemlerini, araçlarını ve yazılımlarını incelemektedir. Aynı amaç için tasarlanmış iki R programlama dili paketi ve üç Python programlama dili paketine ek olarak, yedi ücretsiz yazılım scientometric araştırmanın tasarımı için değerlendirilmiştir. Araştırma, sosyal ve beşeri bilimlerdeki akademisyenlerin bu yöntemleri kapsamlı bir şekilde anlamalarını sağlamak için scientometrik analiz tekniklerini, bibliyografik veri tabanlarını ve kavramları vurgulamaktadır.

Kaynakça

  • Acedo, F. J., Barroso, C. ve Galan, J. L. (2006). The Resource-Based Theory: Dissemination and Main Trends. Strategic Management Journal, 27(7), 621-636. https://doi.org/10.1002/smj.532
  • Aksnes, D. W., Langfeldt, L. ve Wouters, P. (2019). Citations, citation indicators, and research quality: An overview of basic concepts and theories. Sage Open, 9(1). https://doi.org/10.1177/2158244019829575
  • Aksnes, D. W. ve Taxt, R. E. (2004). Peer reviews and bibliometric indicators: A comparative study at a norwegian university. Research Evaluation, 13(1), 33-41. https://doi.org/10.3152/147154404781776563
  • Alonso, S., Cabrerizo, F., Herrera-Viedma, E. ve Herrera, F. (2010). hg-index: A new index to characterize the scientific output of researchers based on the h-and g-indices. Scientometrics, 82(2), 391-400. https://doi.org/10.1007/s11192-009-0047-5
  • Aria, M. ve Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
  • Baas, J., Schotten, M., Plume, A., Côté, G. ve Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative science studies, 1(1), 377-386. https://doi.org/10.1162/qss_a_00019
  • Bar-Ilan, J. (2008). Informetrics at the beginning of the 21st century—A review. Journal of Informetrics, 2(1), 1-52. https://doi.org/10.1016/j.joi.2007.11.001
  • Bettencourt, L. M. ve Kaur, J. (2011). Evolution and structure of sustainability science. Proceedings of the National Academy of Sciences, 108(49), 19540-19545. https://doi.org/10.1073/pnas.1102712108
  • Björneborn, L. ve Ingwersen, P. (2004). Toward a basic framework for webometrics. Journal of the American society for information science and technology, 55(14), 1216-1227. https://doi.org/10.1002/asi.20077
  • Blackert, L. ve Siegel, K. (1979). Ist in der wissenschaftlich-technischen information platz für die informetrie. Wissenschaftliche Zeitschrift der Technischen Hochschule Ilmenau, 25(6), 187-199.
  • Bonaccorsi, A., Daraio, C., Fantoni, S., Folli, V., Leonetti, M. ve Ruocco, G. (2017). Do social sciences and humanities behave like life and hard sciences? Scientometrics, 112(1), 607-653. https://doi.org/10.1007/s11192-017-2384-0
  • Bornmann, L., Mutz, R. ve Daniel, H.-D. (2008). Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine. Journal of the American Society for Information Science and Technology, 59(5), 830-837. https://doi.org/10.1002/asi.20806
  • Bornmann, L., Mutz, R., Hug, S. E. ve Daniel, H.-D. (2011). A Multilevel Meta-Analysis of Studies Reporting Correlations Between the h Index and 37 Different h Index Variants. Journal of Informetrics, 5(3), 346-359. https://doi.org/10.1016/j.joi.2011.01.006
  • Borrego, Á., Ardanuy, J. ve Arguimbau, L. (2023). Crossref as a bibliographic discovery tool in the arts and humanities. Quantitative Science Studies, 4(1), 91-104. https://doi.org/10.1162/qss_a_00240
  • Boyack, K. W. ve Klavans, R. (2010). Co-Citation Analysis, Bibliographic Coupling, and Direct Citation: Which Citation Approach Represents the Research Front Most Accurately? Journal of the American Society for information Science and Technology, 61(12), 2389-2404. https://doi.org/10.1002/asi.21419
  • Bozeman, B. ve Sarewitz, D. (2011). Public value mapping and science policy evaluation. Minerva, 49(1), 1-23. https://doi.org/10.1007/s11024-011-9161-7
  • Brown, R. J. (2009). A Simple Method for Excluding Self-Citation from the h-Index: The b-Index. Online Information Review, 33(6), 1129-1136. https://doi.org/10.1108/14684520911011043
  • Callon, M., Courtial, J.-P. ve Laville, F. (1991). Co-Word Analysis as a Tool for Describing the Network of Interactions Between Basic and Technological Research: The Case of Polymer Chemsitry. Scientometrics, 22(1), 155-205. https://doi.org/10.1007/BF02019280
  • Chen, C. (2004). Searching for Intellectual Turning Points: Progressive Knowledge Domain Visualization. Proceedings of the National Academy of Sciences, 101(suppl_1), 5303-5310. https://doi.org/10.1073/pnas.0307513100
  • Chen, C. (2006). CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. Journal of the American Society for information Science and Technology, 57(3), 359-377. https://doi.org/10.1002/asi.20317
  • Chen, C. (2012). Predictive Effects of Structural Variation on Citation Counts. Journal of the American Society for Information Science and Technology, 63(3), 431-449. https://doi.org/10.1002/asi.21694
  • Chen, C. (2016). CiteSpace: A practical guide for mapping scientific literature. Nova Science Publishers.
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E. ve Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for information Science and Technology, 62(7), 1382-1402. https://doi.org/10.1002/asi.21525
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., ve Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609-1630. https://doi.org/10.1002/asi.22688
  • Coccia, M. (2005). Technometrics: Origins, historical evolution and new directions. Technological Forecasting and Social Change, 72(8), 944-979. https://doi.org/10.1016/j.techfore.2005.05.011
  • Comins, J. A. ve Hussey, T. W. (2015). Compressing Multiple Scales of Impact Detection by Reference Publication Year Spectroscopy. Journal of Informetrics, 9(3), 449-454. https://doi.org/10.1016/j.joi.2015.03.003
  • Cronin, B. (2013). From signtometrics to scientometrics: A cautionary tale of our times. Journal of Information Science Theory and Practice, 1(4), 6-11. https://doi.org/10.1633/JISTaP.2013.1.4.1
  • da Silva, J. T., Dobránszki, J., Al-Khatib, A. ve Tsigaris, P. (2018). Challenges facing the DOAJ (Directory of Open Access Journals) as a reliable source of open access publishing venuess. Journal of Educational Media & Library Sciences, 55(3), 349-358. https://doi.org/10.6120/JoEMLS.201811_55(3).e003.BC.BE
  • De Bellis, N. (2009). Bibliometrics and citation analysis: From the science citation index to cybermetrics. Scarecrow Press.
  • Düzyol, G. (2011). Türkiye kütüphanecilik ve bilgibilim literatürünün entellektüel haritasının çıkarılması: Bir yazar ortak atıf analizi çalışması [Yüksek Lisans Tezi]. Hacettepe Üniversitesi.
  • Egghe, L. (2005). Expansion of the Field of Informetrics: Origins and Consequences. Information Processing & Management, 41(6), 1311-1316. https://doi.org/10.1016/j.ipm.2005.03.011
  • Egghe, L. (2006). Theory and Practise of the g-Index. Scientometrics, 69(1), 131-152. https://doi.org/10.1007/s11192-006-0144-7
  • Fischer, A. R., Tobi, H. ve Ronteltap, A. (2011). When natural met social: A review of collaboration between the natural and social sciences. Interdisciplinary Science Reviews, 36(4), 341-358. https://doi.org/10.1179/030801811X13160755918688
  • Franssen, T. ve Wouters, P. (2019). Science and its significant other: Representing the humanities in bibliometric scholarship. Journal of the Association for Information Science and Technology, 70(10), 1124-1137. https://doi.org/10.1002/asi.24206
  • Fricke, S. (2018). Semantic Scholar. Journal of the Medical Library Association: JMLA, 106(1), 145. https://doi.org/10.5195/jmla.2018.280
  • Gagolewski, M. (2011). Bibliometric Impact Assessment with R and the CITAN Package. Journal of Informetrics, 5(4), 678-692. https://doi.org/10.1016/j.joi.2011.06.006
  • Garfield, E. (1964). “Science Citation Index”—A new dimension in indexing: This unique approach underlies versatile bibliographic systems for communicating and evaluating information. Science, 144(3619), 649-654. https://doi.org/10.1126/science.144.3619.649
  • Garfield, E. (1979). Is citation analysis a legitimate evaluation tool? Scientometrics, 1, 359-375. https://doi.org/10.1007/BF02019306
  • Georgas, H. (2014). Google vs. The library (part ii): Student search patterns and behaviors when using google and a federated search tool. portal: Libraries and the Academy, 14(4), 503-532. https://doi.org/10.1353/pla.2014.0034
  • Gingras, Y. (2016). Bibliometrics and research evaluation: Uses and abuses. MIT Press. Godin, B. (2006). On the origins of bibliometrics. Scientometrics, 68(1), 109-133. https://doi.org/10.1007/s11192-006-0086-0
  • Grauwin, S. (2023). BiblioTools / BiblioMaps [Personal Webpage]. http://www.sebastian-grauwin.com/bibliomaps/index.html
  • Grauwin, S. ve Jensen, P. (2011). Mapping scientific institutions. Scientometrics, 89(3), 943-954. https://doi.org/10.1007/s11192-011-0482-y
  • Grauwin, S. ve Sperano, I. (2018). Bibliomaps-a software to create web-based interactive maps of science: The case of UX map. Proceedings of the Association for Information Science and Technology, 55(1), 815-816. https://doi.org/10.1002/pra2.2018.14505501129
  • Harzing, A.-W. (2019). Two new kids on the block: How do crossref and dimensions compare with google scholar, microsoft academic, scopus and the web of science? Scientometrics, 120(1), 341-349. https://doi.org/10.1007/s11192-019-03114-y
  • Harzing, A.-W. ve Alakangas, S. (2017). Microsoft academic is one year old: The phoenix is ready to leave the nest. Scientometrics, 112(3), 1887-1894. https://doi.org/10.1007/s11192-017-2454-3
  • Haunschild, R. ve Bornmann, L. (2022). Reference publication year spectroscopy (RPYS) in practice: A software tutorial. Scientometrics, 1-19.
  • Hellqvist, B. (2010). Referencing in the humanities and its implications for citation analysis. Journal of the American Society for Information Science and Technology, 61(2), 310-318.
  • Hendricks, G., Tkaczyk, D., Lin, J. ve Feeney, P. (2020). Crossref: The sustainable source of community-owned scholarly metadata. Quantitative Science Studies, 1(1), 414-427. https://doi.org/10.1162/qss_a_00022
  • Herzog, C., Hook, D. ve Konkiel, S. (2020). Dimensions: Bringing down barriers between scientometricians and data. Quantitative Science Studies, 1(1), 387-395. https://doi.org/10.1162/qss_a_00020
  • Hess, D. J. (1997). Science studies: An advanced introduction. NYU Press.
  • Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569-16572. https://doi.org/10.1073/pnas.0507655102
  • Hood, W. W. ve Wilson, C. S. (2001). The Literature of Bibliometrics, Scientometrics, and Informetrics. Scientometrics, 52(2), 291-314. https://doi.org/10.1023/A:1017919924342
  • Hook, D. W., Porter, S. J. ve Herzog, C. (2018). Dimensions: Building Context for Search and Evaluation. Frontiers in Research Metrics and Analytics, 3, 23. https://doi.org/10.3389/frma.2018.00023
  • Jefferson, O. A., Koellhofer, D., Warren, B. ve Jefferson, R. (2019). The Lens MetaRecord and LensID: An open identifier system for aggregated metadata and versioning of knowledge artefacts. LIS Scholarship Archive. https://doi.org/10.31229/osf.io/t56yh
  • Jefferson, O. A., Lang, S., Williams, K., Koellhofer, D., Ballagh, A., Warren, B., Schellberg, B., Sharma, R. ve Jefferson, R. (2021). Mapping CRISPR-Cas9 public and commercial innovation using The Lens institutional toolkit. Transgenic Research, 30(4), 585-599. https://doi.org/10.1007/s11248-021-00237-y
  • Jin, B., Liang, L., Rousseau, R. ve Egghe, L. (2007). The R-and AR-Indices: Complementing the h-Index. Chinese Science Bulletin, 52(6), 855-863. https://doi.org/10.1007/s11434-007-0145-9
  • Klavans, R. ve Boyack, K. W. (2017). Which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge? Journal of the Association for Information Science and Technology, 68(4), 984-998. https://doi.org/10.1002/asi.23734
  • Lavik, G. A. V. ve Sivertsen, G. (2017). ERIH PLUS–Making the SSH visible, searchable and available. Procedia Computer Science, 106, 61-65. https://doi.org/10.1016/j.procs.2017.03.035
  • López-Cózar, E. D., Orduña-Malea, E., Martín-Martín, A. ve Ayllón, J. M. (2017a). Google Scholar: The big data bibliographic tool. F. J. Cantu-Ortiz (Ed.), Research Analytics içinde (ss. 59-80). Auerbach Publications. https://doi.org/10.1201/9781315155890
  • López-Cózar, E. D., Orduña-Malea, E., Martín-Martín, A. ve Ayllón, J. M. (2017b). Google scholar: The big data bibliographic tool. Research Analytics içinde (ss. 59-80). Auerbach Publications.
  • Lund, B. (2022). Bibliometrics Is Valuable Science. Why do some journals seem to oppose it? Journal of Data and Information Science, 7(3), 4-7. https://doi.org/10.2478/jdis-2022-0012
  • Mählck, P. ve Persson, O. (2000). Socio-bibliometric mapping of intra-departmental networks. Scientometrics, 49(1), 81-91. https://doi.org/10.1023/A:1005661208810
  • Martín-Martín, A., Orduña-Malea, E., Ayllón, J. M. ve Delgado López-Cózar, E. (2016). Back to the past: On the shoulders of an academic search engine giant. Scientometrics, 107, 1477-1487. https://doi.org/10.1007/s11192-016-1917-2
  • Marx, W. ve Bornmann, L. (2014). Tracing the origin of a scientific legend by reference publication year spectroscopy (RPYS): The legend of the Darwin finches. Scientometrics, 99, 839-844. https://doi.org/10.1007/s11192-013-1200-8
  • Marx, W., Bornmann, L., Barth, A. ve Leydesdorff, L. (2014). Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS). Journal of the Association for Information Science and Technology, 65(4), 751-764. https://doi.org/10.1002/asi.23089
  • McLevey, J. ve McIlroy-Young, R. (2017). Introducing Metaknowledge: Software for computational research in information science, network analysis, and science of science. Journal of Informetrics, 11(1), 176-197. https://doi.org/10.1016/j.joi.2016.12.005
  • Meagher, L., Lyall, C. ve Nutley, S. (2008). Flows of knowledge, expertise and influence: A method for assessing policy and practice impacts from social science research. Research Evaluation, 17(3), 163-173. https://doi.org/10.3152/095820208x331720
  • Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A. ve Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29(1). https://doi.org/10.3145/epi.2020.ene.03
  • Morrison, H. (2017). Directory of Open Access Journals (DOAJ). The Charleston Advisor, 18(3), 25-28. https://doi.org/10.5260/chara.18.3.25
  • Mouratidis, R. W. (2019). Dimensions. Journal of the Medical Library Association: JMLA, 107(3), 459. https://doi.org/10.5195/jmla.2019.695
  • Nacke, O. (1979). Informetrie: Ein neuer name für eine neue disziplin. Begriffsbestimmung, wissensstand und entwicklungsprinzipien.
  • Nalimov, V. ve Mulcjenko, B. (1971). Measurement of Science. Study of the Development of Science as an Information Process. https://eric.ed.gov/?id=ED065286
  • Nerur, S. P., Rasheed, A. A. ve Natarajan, V. (2008). The intellectual structure of the strategic management field: An author co-citation analysis. Strategic Management Journal, 29(3), 319-336. https://doi.org/10.1002/smj.659
  • Ochsner, M., Hug, S. ve Galleron, I. (2017). The future of research assessment in the humanities: Bottom-up assessment procedures. Palgrave Communications, 3(1), 1-12. https://doi.org/10.1057/palcomms.2017.20
  • Penfold, R. (2020). Using the Lens database for staff publications. Journal of the Medical Library Association: JMLA, 108(2), 341. https://doi.org/10.5195/jmla.2020.918
  • Persson, O., Danell, R. ve Schneider, J. W. (2009). How to use bibexcel for various types of bibliometric analysis. F. Åström, R. Danell, B. Larsen, ve J. Schneider (Ed.), Celebrating Scholarly Communication Studies: A Festschrift for Olle Persson at his 60th Birthday içinde (ss. 9-24). International Society for Scientometrics and Informetrics.
  • Persson, O., Stern, P. ve Holmberg, K. (1992). BIBMAP: a toolbox for mapping the structure of scientific literature (P. Weingart, R. Sehringer, ve M. Winterhager, Ed.; ss. 189-199). DSWO Press.
  • Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, 9(1), 12. https://doi.org/10.3390/publications9010012
  • Price, J. D. de S. (1963). Little science, big science. Columbia University Press.
  • Priem, J., Groth, P. ve Taraborelli, D. (2012). The altmetrics collection. PLoS ONE, 7(11): e48753. https://doi.org/10.1371/journal.pone.0048753
  • Priem, J., Taraborelli, D., Groth, P. ve Neylon, C. (2010, October 26). Altmetrics: A manifesto. http://altmetrics.org/manifesto
  • Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348-349. Proctor, R. W. ve Capaldi, E. (2006). The new means of understanding science. Why Science Matters: Understanding the Methods of Psychological Research içinde (ss. 96-118). Blackwell Publishing.
  • Retzer, V. ve Jurasinski, G. (2009). Towards objectivity in research evaluation using bibliometric indicators–a protocol for incorporating complexity. Basic and Applied Ecology, 10(5), 393-400. https://doi.org/10.1016/j.baae.2008.09.001
  • Rousseau, R. (2006). New Developments Related to the Hirsch Index. Science Focus, 4(1), 23-25.
  • Rousseau, R. (2014). Forgotten founder of bibliometrics. Nature, 510(7504), 218-218. https://doi.org/10.1038/510218e
  • Rousseau, R., Egghe, L. ve Guns, R. (2018). Becoming metric-wise: A bibliometric guide for researchers. Chandos Publishing.
  • Ruiz-Rosero, J., Ramírez-González, G. ve Viveros-Delgado, J. (2019). Software survey: Scientopy, a scientometric tool for topics trend analysis in scientific publications. Scientometrics, 121(2), 1165-1188. https://doi.org/10.1007/s11192-019-03213-w
  • Scheidsteger, T. ve Haunschild, R. (2023). Which of the metadata with relevance for bibliometrics are the same and which are different when switching from Microsoft Academic Graph to OpenAlex? Profesional de la información, 32(2). https://doi.org/10.3145/epi.2023.mar.09
  • Sci2 Team, S. (2009). Science of science studies: Sci2 Tool. Indiana University and SciTech Strategies. https://sci2.cns.iu.edu.
  • Skupin, A. (2014). Making a mark: A computational and visual analysis of one researcher’s intellectual domain. International Journal of Geographical Information Science, 28(6), 1209-1232. https://doi.org/10.1080/13658816.2014.906040
  • Slaughter, S. A. ve Leslie, L. E. (1997). Academic capitalism. Politics, policies and the entrepreneurial university. John Hopkins University Press.
  • Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, 24(4), 265-269. https://doi.org/10.1002/asi.4630240406
  • Sooryamoorthy, R. (2020). Scientometrics for the humanities and social sciences. Routledge. Stenson, L. (2012). Why all these directories? An introduction to DOAJ and DOAB. Insights, 25(3). https://doi.org/10.1629/2048-7754.25.3.251
  • Tague-Sutcliffe, J. (1992). An Introduction to informetrics. Information Processing & Management, 28(1), 1-3. https://doi.org/10.1016/0306-4573(92)90087-G
  • Tay, A., Hug, S. E. ve Martin-Martin, A. (2021, May 27). Goodbye, Microsoft Academic–hello, open research infrastructure? https://blogs.lse.ac.uk/impactofsocialsciences/2021/05/27/goodbye-microsoft-academic-hello-open-research-infrastructure/
  • Thelwall, M. (2018). Dimensions: A competitor to Scopus and the Web of Science? Journal of Informetrics, 12(2), 430-435. https://doi.org/10.1016/j.joi.2018.03.006
  • Thelwall, M., Vaughan, L. ve Björneborn, L. (2005). Webometrics. Annual Review of Information Science and Technology, 39(1), 81-135. https://doi.org/10.1002/aris.1440390110
  • Thor, A., Bornmann, L., Marx, W. ve Mutz, R. (2018). Identifying single influential publications in a research field: New analysis opportunities of the CRExplorer. Scientometrics, 116(1), 591-608. https://doi.org/10.1007/s11192-018-2733-7
  • Trujillo, C. M. ve Long, T. M. (2018). Document co-citation analysis to enhance transdisciplinary research. Science Advances, 4(1). https://doi.org/10.1126/sciadv.1701130
  • Van Eck, N. J. ve Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
  • Van Eck, N. J. ve Waltman, L. (2014a). CitNetExplorer: A new software tool for analyzing and visualizing citation networks. Journal of Informetrics, 8(4), 802-823. https://doi.org/10.1016/j.joi.2014.07.006
  • Van Eck, N. J. ve Waltman, L. (2014b). Visualizing bibliometric networks. Y. Ding, R. E. Rousseau, ve D. Wolfram (Ed.), Measuring scholarly impact: Methods and practice içine (ss. 285-320). Springer. https://doi.org/10.1007/978-3-319-10377-8_13
  • Van Eck, N. J. ve Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111, 1053-1070. https://doi.org/10.1007/s11192-017-2300-7
  • Van Eck, N. J. ve Waltman, L. (2023). VOSViewer Manual. CWTS. https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.19.pdf
  • Van Raan, A. F. (2004). Measuring science. U. Schmoch, W. Glänzel ve H. F. Moed (Ed.), Handbook of Quantitative Science and Technology Research içinde (ss. 19-50). Springer Dordrecht. https://doi.org/10.1007/1-4020-2755-9_2
  • Vinkler, P. (2009). The π-Index: A new indicator for assessing scientific impact. Journal of Information Science, 35(5), 602-612. https://doi.org/10.1177/0165551509103601
  • Visser, M., van Eck, N. J. ve Waltman, L. (2021). Large-scale comparison of bibliographic data sources: Scopus, web of science, dimensions, crossref, and microsoft academic. Quantitative Science Studies, 2(1), 20-41. https://doi.org/10.1162/qss_a_00112
  • Wang, K., Shen, Z., Huang, C., Wu, C.-H., Dong, Y. ve Kanakia, A. (2020). Microsoft academic graph: When experts are not enough. Quantitative Science Studies, 1(1), 396-413. https://doi.org/10.1162/qss_a_00021
  • White, H. D. (1981). Cocited author retrieval online: An experiment with the social indicators literature. Journal of the American Society for Information Science, 32(1), 16-21. https://doi.org/10.1002/asi.4630320103
  • White, H. D. (2001). Authors as citers over time. Journal of the American Society for Information Science and Technology, 52(2), 87-108. https://doi.org/10.1002/1097-4571(2000)9999:9999<::aid-asi1542>3.0.co;2-t
  • White, H. D. (2003). Author cocitation analysis and pearson’s r. Journal of the American Society for Information Science and Technology, 54(13), 1250-1259. https://doi.org/10.1002/asi.10325
  • White, H. D. ve Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32(3), 163-171. https://doi.org/10.1002/asi.4630320302
  • Wildgaard, L. (2015). A comparison of 17 author-level bibliometric indicators for researchers in astronomy, environmental science, philosophy and public health in Web of Science and Google Scholar. Scientometrics, 104(3), 873-906. https://doi.org/10.1007/s11192-015-1608-4
  • Wildgaard, L., Schneider, J. W. ve Larsen, B. (2014). A review of the characteristics of 108 author-level bibliometric indicators. Scientometrics, 101(1), 125-158. https://doi.org/10.1007/s11192-014-1423-3
  • Wu, Q. (2010). The w-Index: A measure to assess scientific impact by focusing on widely cited papers. Journal of the American Society for Information Science and Technology, 61(3), 609-614. https://doi.org/10.1002/asi.21276
  • Zan, B. U. (2019). Doğrudan atıf, ortak atıf ve bibliyografik eşleşme yaklaşımlarına dayalı olarak araştırma alanlarının değerlendirilmesi. Sosyal Bilimler Araştırmaları Dergisi, 14(2), 501-516.
  • Zhang, H., Li, D., Gu, X. ve Chen, N. (2022). Three decades of topic evolution, hot spot mining and prospect in ccus studies based on CitNetExplorer. Chinese Journal of Population, Resources and Environment, 20(1), 91-104. https://doi.org/10.1016/j.cjpre.2022.03.010
  • Zhang, L., Thijs, B. ve Glänzel, W. (2013). What does scientometrics share with other “metrics” sciences? Journal of the American Society for Information Science and Technology, 64(7), 1515-1518. https://doi.org/10.1002/asi.22834
Toplam 118 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Kütüphane ve Bilgi Çalışmaları
Bölüm Derlemeler
Yazarlar

Kemal Yayla 0000-0001-9064-611X

Mithat Baver Zencir 0000-0003-1975-2109

Yayımlanma Tarihi 27 Temmuz 2023
Gönderilme Tarihi 25 Mart 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 1 Sayı: 1

Kaynak Göster

APA Yayla, K., & Zencir, M. B. (2023). Sosyal ve Beşerî Bilimler Araştırmacıları Bilimetrik Çalışmaları Nasıl Yürütür? Yöntemler, Veri tabanları ve Araçlar. Education and Technology in Information Science, 1(1), 36-57.