Visual Mapping and Bibliometric Analysis of the Belleten Journal (2009-2021)

Year 2023, , 56 - 74, 30.06.2023

Selçuk Nam , Hasan Tutar

https://doi.org/10.33721/by.1230759

Cited By: 2

Abstract

The Belleten Journal, which started publication in 1937, has contributed to Turkey's knowledge and dissemination of information for nearly a century. In this research, visual mapping and bibliometric analysis of 431 articles published in the journal Belleten, which were scanned in Web of Science (WoS) and Scopus databases between 2009-2021, were conducted. Data were obtained from the WoS and Scopus database in January (2022). In the study, the articles with the highest impact factor, the distribution of the articles, the author profile, the number of authors, the distribution of the authors according to the universities they belong to and the most frequently cited authors were determined. In order to determine the intellectual structure of the journal Belleten, co-citation analysis was carried out to reveal the relationship networks between bibliometric items. Research findings show that Golen, Z. with six articles and Demiryürek, N. with five articles in the journal Belleten are the most productive authors. Ankara University is the university that contributes the most to the journal with 24 articles. Hacettepe University follows Ankara University with 20 articles. The highest number of publications in the journal is in Turkey with 374 articles. Turkey is followed by Kyrgyzstan with six articles and Azerbaijan with five articles. Of the articles published in the journal, 293 are empirical, and 138 are review articles. The findings show that the Belleten Journal successfully fulfills its function as an effective platform for producing and disseminating knowledge in Turkish History, Political Science, Turkish Culture, and Anthropology.

Keywords

Belleten Journal, Bibliometric Analysis, Visual Mapping

Belleten Dergisinin Görsel Haritalaması ve Bibliyometrik Analizi (2009-2021)

Abstract

1937 yılında yayın hayatına başlayan Belleten dergisi, yaklaşık bir asırdır Türkiye'nin bilgi birikimine ve bilginin yayılmasına katkıda bulunmuştur. Bu araştırmada, 2009-2021 yılları arasında Web of Science (WoS) ve Scopus veri tabanlarında taranan Belleten dergisinde yayınlanan 431 makalenin görsel haritalama ve bibliyometrik analiz çalışması yapılmıştır. Gerekli veriler WoS ve Scopus veri tabanından Ocak (2022) tarihinde elde edilmiştir. Araştırmada etki faktörü en yüksek olan makaleler, makalelerin dağılımı, yazar profili, yazar sayısı, yazarların ait oldukları üniversitelere göre dağılımı ve en sık atıf alan yazarlar belirlenmiştir. Belleten dergisinin düşünsel yapısını belirlemek amacıyla bibliyometrik öğeler arasındaki ilişki ağlarını ortaya çıkarmak için ortak atıf analizi gerçekleştirilmiştir. Araştırma bulguları Belleten dergisinde altı makale ile Golen, Z. ve beş makale ile Demiryürek, N.’ nin en üretken yazarlar olduklarını göstermektedir. Dergiye en fazla katkı sağlayan üniversite 24 makale ile Ankara Üniversitesidir. Ankara Üniversitesi'ni 20 makale ile Hacettepe Üniversitesi takip etmektedir. Dergide en fazla makale yayınlanan ülke 374 makale ile Türkiye’ dir. Türkiye’ yi altı makale ile Kırgızistan ve beş makale ile Azerbaycan izlemektedir. Dergide yayınlanan makalelerin 293'ü ampirik, 138'i derleme makalesidir. Bulgular, Belleten dergisinin Türk Tarihi, Siyaset Bilimi, Türk Kültürü ve Antropoloji alanlarında bilgi üretme ve yaymada etkin bir platform olma işlevini başarıyla yerine getirdiğini göstermektedir.

Keywords

Belleten Dergisi, Bibliyometrik Analiz, Görsel Haritalama

References

• Aria, M., & Cuccurullo, C. (2017). Bibliometrix : An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975, doi: https://doi.org/10.1016/j.joi.2017.08.007
• Biswas, B. C., Roy, A., & Sen, B.K. (2007). Economic botany: A bibliometric study. Malaysian Journal of Library, 12(1), 23-33.
• Casillas, J., & Acedo, F. (2007). Evolution of the intellectual structure of family business literature: A bibliometric study of family business review. Family Business Review, 20(2), 141-162, doi: https://doi.org/10.1111/j.1741-6248.2007.00092.x
• Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & 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, doi: https://doi.org/10.1002/asi.21525
• Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & 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, doi: https://doi.org/10.1002/asi.22688
• Echchakoui, S. (2020). Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019. Journal of Marketing Analytics, 8(3), 165–184, doi: https://doi.org/10.1057/s41270-020-00081-9
• Evren, S., & Kozak, N. (2014). Bibliometric analysis of tourism and hospitality related articles published in Turkey. Anatolia, 25(1), 61–80, doi: https://doi.org/10.1080/13032917.2013.824906
• Fahimnia, B., Sarkis, J., & Davarzani, H. (2015). Green supply chain management: A review and bibliometric analysis. International Journal of Production Economics, 162, 101–114, doi: https://doi.org/10.1016/j.ijpe.2015.01.003
• Figuerola, C. G., García Marco, F. J., & Pinto, M. (2017). Mapping the evolution of library and information science (1978–2014) using topic modeling on LISA. Scientometrics, 112(3), 1507–1535, doi: https://doi.org/10.1007/s11192-017-2432-9
• Glänzel, W., & Debackere, K. (2022). Various aspects of interdisciplinarity in research and how to quantify and measure those. Scientometrics, 127(9), 5551–5569, doi: https://doi.org/10.1007/s11192-021-04133-4
• Harnad, S. (2008). Validating research performance metrics against peer rankings. Ethics in Science and Environmental Politics, 8, 103–107, doi: https://doi.org/10.3354/esep00088
• Hood, W. W., & Wilson, S. C. (2001). The literature of bibliometrics, scientometrics, and informetrics. Scientometrics, 52(2), 291–314.
• Jena, K. (2006). A bibliometric analysis of the journal' Indian journal of fibre and textile research, 1996-2004. Annals of Library and Information Studies, 53(2), 22-30.
• Wallace, K. (2001). Information science as little science: The implications of a bibliometric analysis of the journal of the American society for information science, Scientometrics, 51(1), 117-132.
• Laengle, S., Merigó, J. M., Miranda, J., Słowiński, R., Bomze, I., Borgonovo, E., & Teunter, R. (2017). Forty years of the European Journal of Operational Research: A bibliometric overview. European Journal of Operational Research, 262(3), 803–816, doi: https://doi.org/10.1016/j.ejor.2017.04.027
• Laengle, S., Modak, N. M., Merigó, J. M., & De La Sotta, C. (2018). Thirty years of the international journal of computer integrated manufacturing: A bibliometric analysis. International Journal of Computer Integrated Manufacturing, 31(12), 1247–1268, doi: https://doi.org/10.1080/0951192x.2018.1529434
• Law, R., & Cheung, P. (2008). An analysis of publications in leading tourism journals and their implications on China tourism research. Journal of China Tourism Research, 4(1), 78-97.
• Lawani, S. M. (1981). Bibliometrics: Its theoretical foundations, methods, and applications. International Journal of Libraries and Information Services, 31(1), doi: https://doi.org/10.1515/libr.1981.31.1.294
• Liu, Z., Yin, Y., Liu, W., & Dunford, M. (2015). Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis. Scientometrics, 103(1), 135–158, doi: https://doi.org/10.1007/s11192-014-1517-y
• Locke, J., & Perera, H. (2001). The intellectual structure of international accounting in the early 1990s. The International Journal of Accounting Education and Research, 36(2), 223–249, doi: https://doi.org/10.1016/s0020-7063(01)00095-4
• Low M. P., & Siegel, D. (2019). A Bibliometric analysis of employee-centered corporate social responsibility research in the 2000s, Social Responsibility Journal, 16(5), 691-717.
• Mas-Bleda, A., Thelwall, M., Kousha, K., & Aguillo, I. F. (2014). Do highly cited researchers successfully use the socialweb?. Scientometrics, 101(1), 337-356.
• Mcburney, M. K., & Novak, P. L. (2002, 10 December). What is Bibliometrics and Why Should You Care? Professional Communication Conference, IPCC. Proceedings, 2002, USA, IEEE International, 109-117.
• Meho, L. I., & Yang, K. (2006). A new era in citation and bibliometric analyses: Web of science, Scopus, and Google Scholar. Journal of the American Society for Information Science and Technology, 58, 1-21.
• Merigo, J. M., Blanco-Mesa, F., Gil-Lafuente, A. M., & Yager, R. R. (2017). Thirty years of the international journal of intelligent systems: A bibliometric review. International Journal of Intelligent Systems, 32(5), 526-554.
• Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software Tools for Conducting Bibliometric Analysis in Science: An up-to-date Review. El Profesional de La Información, 29(1), doi: https://doi.org/10.3145/epi.2020.ene.03
• Osareh, F. (1996). Bibliometrics, Citation Analysis, and Co-citation Analysis: A Review of Literature. Libri, 46(3), 149-158.
• Osca-Lluch, J., Velasco, E., López, M., & Haba, J. (2009). Co-authorship and Citation Networks in Spanish History of Science Research. Scientometrics, 80(2), 373-383, doi: https://doi.org/10.1007/s11192-008-2089-5
• Öztürk, O. ve Gürler, G. (2021). Bir Literatür İncelemesi Aracı Olarak Bibliyometrik Analiz. Ankara: Nobel Yayınevi.
• Polat, S. (2020). Sosyoekonomi Dergisinde Yayınlanan Makalelerin Bibliyometrik Analizi: 2005-2019 Dönemi, Sosyoekonomi, 28(45), 281-300.
• Pritchard, A. (1969). Statistical Bibliography or Bibliometrics? Journal of Documentation, 25(4), 348-349.
• Rehn, C., & Kronman, U. (2009). Bibliometric Handbook for Karolinska Institutet. Karolinska Institutet University Library Press, 2009
• Sengupta, I. N. (1992). Bibliometrics, Informetrics, Scientometrics, and Librametrics: An Overview. Libri, 42(2), 75-98, doi: https://doi.org/10.1515/libr.1992.42.2.75
• Shapiro, F. R. (1992). Origins of Bibliometrics, Citation Indexing, and Citation Analysis: The Neglected Legal Literature. Journal of the American Society for Information Science, 43(5), 337-339.
• Tang, M., Liao, H., & Su, S. F. (2018). A Bibliometric Overview and Visualization of the International Journal of Fuzzy Systems Between 2007 and 2017. International Journal of Fuzzy Systems, 20(5), 1403-1422, doi: https://doi.org/10.1007/s40815-018-0484-5
• Uttkarsh, U., & Sonkar, S. K. (2020). Knowledge Resources Heritage of India: A Webometric Analysis. International Journal of Library and Information Studies, 10(3), 98-107.
• Van Eck, N. J., & Waltman, L. (2010). Software Survey: VOSviewer, A Computer Program for Bibliometric Mapping. Scientometrics, 84(2), 523-538, doi: https://doi.org/10.1007/s11192-009-0146-3
• Walker, R., Chandra, Y., Zhang, J., & Van Witteloostuijn, A. (2019). Topic Modeling the Research-Practice Gap in Public Administration, Public Administration Review, 79(6), 931-937.
• Waltman, L., Boyack, K. W., Colavizza, G., & Van Eck, N. J. (2019). A Principled Methodology for Comparing Relatedness Measures for Clustering Publications. Quantitative Science Studies, 1(2), 692-713.
• Xu, Z., Yu, D., & Wang, X. (2019). A Bibliometric Overview of International Journal of Machine Learning and Cybernetics Between 2010 and 2017. International Journal of Machine Learning and Cybernetics, 10(9), 2375-2387, doi: https://doi.org/10.1007/s13042-018-0875-9
• Yalçın, H., & Yayla, K. (2016). Sosyal ve Beşeri Bilimler Dergileri İçin Bir Yayın Stratejisi Önerisi. Tarih İncelemeleri Dergisi, 31(2), 609-638.
• Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472, doi: https://doi.org/10.1177/1094428114562629