Bibliometric analysis of scientific productivity performance of International journal of engineering and geosciences WOS example (2016-2024)

Abstract

This study was conducted to reveal the scientific productivity performance of the International Journal of Engineering and Geosciences (IJEG) in internationally published scientific research. For this purpose, a filtering process was applied in the Web of Science (WoS) database to identify the scientific components associated with the journal, resulting in the retrieval of 182 scientific articles published between 2016 and 2024. Relevant tables and a BibTex data file containing qualitative and quantitative indicators of these articles' scientific components were obtained. Tables and graphs were generated from the WoS database, and the BibTex data file was analyzed using the Bibliometrix R (RStudio) statistical software. Based on the findings, a performance analysis was conducted within the scope of bibliometric analysis to assess IJEG's scientific productivity performance. Key findings include: IJEG published the most articles in *2024* and the fewest in *2016*. Selcuk University was the most affiliated institution, while the fewest articles were associated with 81 universities (listed as U₄₃-U₁₂₃ in the relevant table).Turkey was the most frequently associated country, while the fewest articles were linked to 15 countries (listed as V₉-V₂₃ in the relevant table). Additionally:In terms of average citations per article, IJEG performed best in 2018 and weakest in 2024. Regarding annual average citation count, the highest performance was in 2023, while the lowest was in 2024. Notably:The article titled “Avcı C, 2023, Int J Eng Geosci” with the Doi 10.26833/ijeg.987605 received the highest number of global citations, demonstrating the journal's strongest scientific productivity performance. Regarding the journal's impact factor: In both 2023 and 2024, IJEG's JIF Quartile (Q) value was Q₂.The JIF/JCI impact factor was 3.1 in 2023 and 2.5 in 2024.The JIF percentile was 65.9 in 2023 and 53.1 in 2024. In both years, the journal's publication categories were "Engineering" and "Geological". This analysis highlights IJEG's evolving impact and productivity trends in the fields of engineering and geosciences.

Keywords

• IJEG
• Web of science
• Bibliometric analysis
• Performansce analysis

References

1. Vasudevan, B., Chatterjee, M., Sharma, V., & Sahdev, R. (2025). Indexing of journals and indices of publications. Indian Journal of Radiology and Imaging, 35(1), 148-154. https://doi.org/ 10.1055/s-0044-1800878
2. Pereira, V., Basilio, M. P., & Santos, C. H. T. (2025). PyBibX–a Python library for bibliometric and scientometric analysis powered with artificial intelligence tools. Data Technologies and Applications. 1-30. https://doi.org/10.1108/DTA-08-2023-0461
3. Abdi, A., Idris, N., Alguliyev, R. M., & Aliguliyev, R. M. (2018). Bibliometric analysis of IP&M journal (1980-2015). Journal of Scientometric Research, 7(1), 54-62. https://doi.org/10.5530/jscires.7.1.8
4. Gaviria-Marin, M., Merigo, J. M., & Popa, S. (2018). Twenty years of the journal of knowledge management: A bibliometric analysis. Journal of Knowledge Management, 22(8), 1655-1687. https://doi.org/10.1108/JKM-10-2017-0497
5. Kokol, P., Blažun Vošner, H., & Završnik, J. (2021). Application of bibliometrics in medicine: A historical bibliometrics analysis. Health Information & Libraries Journal, 38(2), 125-138. https://doi.org/10.1111/hir.12295
6. Thanuskodi, S. (2010). Bibliometric analysis of the journal library philosophy and practice from 2005-2009. Library Philosophy and Practice, 1(7). 1-6.
7. Alsharif, A. H., Salleh, N. Z. MD., & Baharun, R. (2020). Bibliometric analysis. Journal of Theoretical and Applied Information Technology, 98(15), 2948-2962.
8. Öztürk, O. (2021). Bibliyometrik araştırmaları tasarımına ilişkin bir çerçeve. O. Öztürk ve G. Gürler (Ed.), Bir Literatür İncelemesi Aracı Olarak Bibliyometrik Analiz. (2. Basım), (ss.33-48). Ankara: Nobel.

9. Pessin, V. Z., Yamane, L. H., & Siman, R. R. (2022). Smart bibliometrics: An integrated method of science mapping and bibliometric analysis. Scientometrics, 127(6), 3695-3718. https://doi.org/10.1007/s11192-022-04406-6
10. Imani, B., Mirezati, S. Z., & Saberi, M. K. (2019). A bibliometric analysis of international journal of nursing studies (1963–2018). Library Philosophy and Practice, 2019, 1-15.
11. Davis, P. M., & Walters, W. H. (2011). The impact of free access to the scientific literature: A review of recent research. Journal of the Medical Library Association: JMLA, 99(3), 208-217. https://doi.org/10.3163/1536-5050.99.3.008
12. Corrales, I. E., Reyes, J. J., & Fornaris, Y. (2016). Bibliometric analysis of the journal of oral research: Period 2012-2015. Journal of Oral Research, 5(5), 188-193. https://doi.org/10.17126/joralres.2016.042
13. Hurd, J. M. (2000). The transformation of scientific communication: A model for 2020. Journal of the American Society for Information Science, 51(14), 1279-1283. https://doi.org/10.1002/1097-4571(2000)9999:9999<::AID-ASI1044>3.0.CO;2-1
14. Björk, B. C., Welling, P., Laakso, M., Majlender, P., Hedlund, T., & Guðnason, G. (2010). Open access to the scientific journal literature: situation 2009. PloS One, 5(6), 1-9. https://doi.org/10.1371/journal.pone.0011273 https://dergipark.org.tr/en/pub/ijeg 15.03.2025 https://dergipark.org.tr/en/pub/ijeg/aim-and-scope 16.03.2025
15. Tumewang, Y. K., Rahmawati Dewi, H., & Amin, H. (2025). Over a decade of maqashid sharia studies: A bibliometric analysis and direction for future research. Journal of Islamic Accounting and Business Research, 16(1), 25-52. https://doi.org/10.1108/JIABR-08-2022-0207
16. Elbanna, M. (2025). Islamic education models: A bibliometric analysis of challenges and prospects. Solo Universal Journal of Islamic Education and Multiculturalism, 3(1), 11-26. https://doi.org/10.61455/sujiem.v3i01.231
17. Wahab, M. H. S., Hosen, M., Islam, M. A., Chowdhury, M. A. M., Jantan, A. H., & Wahab, S. A. (2025). Graduate employability: A bibliometric analysis. Global Business and Organizational Excellence, 44(2), 38-57. https://doi.org/10.1002/joe.22267
18. Wahyuni, R., Juniati, D., & Wijayanti, P. (2025). Mathematics anxiety in mathematics education: A bibliometrics analysis. Journal of Education and Learning (EduLearn), 19(1), 380-393. https://doi.org/10.11591/edulearn.v19i1.21768
19. Guillén-Pujadas, M., Alaminos, D., Vizuete-Luciano, E., Merigó, J. M., & Van Horn, J. D. (2025). Twenty years of neuroinformatics: A bibliometric analysis. Neuroinformatics, 23(1), 1-41. https://doi.org/10.1007/s12021-024-09712-3
20. Simard, M. A., Kozlowski, D., Segal, J., Messer, M., Ocay, D. D., Sari, T., Ferland, C.E., & Larivière, V. (2025). Trends in brain research: A bibliometric analysis. Canadian Journal of Neurological Sciences, 52(2), 214-224. https://doi.org/10.1017/cjn.2023.314
21. Jun, G., Xu, J., Alivi, M. A., Zhewen, F., Dharejo, N., & Brony, M. (2025). Impacts of digital media on children’s well-being: A bibliometric analysis. Online Journal of Communication and Media Technologies, 15(1), 1-17. https://doi.org/10.30935/ojcmt/15696
22. Khanom, J., & Islam, M. T. (2025). Women's rights in islamic culture: A bibliometric analysis of trends, influential authors, and ınstitutional contributions (1969–2023). Solo Universal Journal of Islamic Education and Multiculturalism, 3(1), 27-42. https://doi.org/10.61455/sujiem.v3i01.232
23. De Oliveira, B. S., & Sohn, A. P. L. (2025). Emotional intelligence in tourism and hospitality: A bibliometric analysis. International Journal of Hospitality Management, 128. https://doi.org/10.1016/j.ijhm.2025.104141
24. Baker, H. K., Kumar, S., & Pandey, N. (2021). Five decades of the journal of consumer affairs: A bibliometric analysis. Journal of Consumer Affairs, 55(1), 293-331. https://doi.org/10.1111/joca.12347
25. Barik, N., & Jena, P. (2013). Bibliometric analysis of journal of knowledge management practice, 2008-2012. Library Philosophy and Practice (e-journal), 1020, 1-11.
26. Brandt, J. S., Hadaya, O., Schuster, M., Rosen, T., Sauer, M. V., & Ananth, C. V. (2019). A bibliometric analysis of top-cited journal articles in obstetrics and gynecology. JAMA network open, 2(12), 1-11. https://doi.org/10.1001/jamanetworkopen.2019.18007
27. Falagas, M. E., Zarkali, A., Karageorgopoulos, D. E., Bardakas, V., & Mavros, M. N. (2013). The impact of article length on the number of future citations: a bibliometric analysis of general medicine journals. PloS One, 8(2), 1-8, e49476. https://doi.org/10.1371/journal.pone.0049476
28. Giménez‐Espert, M. D. C., & Prado‐Gascó, V. J. (2019). Bibliometric analysis of six nursing journals from the web of science, 2012–2017. Journal of Advanced Nursing, 75(3), 543-554. https://doi.org/10.1111/jan.13868
29. Gilfillan, I., Mothabeng, D., & van Heerden, A. (2023). Feasibility of ballistic strength training to improve mobility of inpatients with traumatic brain injury: A study protocol. New Zealand Journal of Physiotherapy, 51(1), 1-8. https://doi.org/https://doi.org/10.15619/nzjp.v51i2.355
30. Madjid, A., Syafar, M., Arsunan, A. A., & Maria, I. L. (2020). Social determinants and tuberculosis incidents on empowerment case finding in Majene district. Enfermería Clínica, 30, 136-140. https://doi.org/10.1016/j.enfcli.2020.02.011
31. Purnawati, J., Sinrang, A. W., Jusuf, E. C., Limoa, E., Ahmad, M., & Usman, A. N. (2020). Nutrition, mental status and level of 8-hydroxy-2-deoxyguanosine (OHDG) urine as predictors of premenstrual syndrome (PMS) in adolescent girls. Int. J. Curr. Res. Rev, 12(23), 7-13. http://dx.doi.org/10.31782/IJCRR.2020.122315
32. Hegde, A. H., Bhat, S. R., Rakesh, L., & Prakashini, K. (2022). A computational fluid dynamics study on patient-specific bifurcated carotid artery. Engineered Science, 19, 243-252. https://dx.doi.org/10.30919/es8d691
33. Panigrahi, L., Verma, K., & Singh, B. K. (2022). Evaluation of image features within and surrounding lesion region for risk stratification in breast ultrasound images. IETE Journal of Research, 68(2), 935-946. https://doi.org/10.1080/03772063.2019.1627918
34. Todisco, V., Fridolfsson, E., Axén, C., Dahlgren, E., Ejsmond, M. J., Hauber, M. M., Hindar, K., Tipplin, P., Zötti, M., Söderberg, L., & Hylander, S. (2024). Thiamin dynamics during the adult life cycle of Atlantic salmon (Salmo salar). Journal of Fish Biology, 104(3), 807-824. https://doi.org/10.1111/jfb.15584
35. Al-Gburi, M., Kristiansen, J. B., Christensen, K. B., & Krogsgaard, M. R. (2023). Functional performance tests, clinical measurements, and patient-reported outcome measures do not correlate as outcomes 1 year after anterior cruciate ligament reconstruction. Knee Surgery, Sports Traumatology, Arthroscopy, 31(12), 5905-5912. https://doi.org/10.1007/s00167-023-07648-w
36. Edberg, A. K., Trogu, G., Manattini, A., Renn-Żurek, A., Modrzejewska, D. M., Woźnicka, E. B., ... & Šiurienė, A. (2023). Existential loneliness among older people from the perspective of health care professionals: a European Multicenter Study. Psychology Research and Behavior Management, 2241-2252. https://doi.org/10.2147/PRBM.S408547
37. Heyang, T., & Martin, R. (2022). Teaching through TikTok: A duoethnographic exploration of pedagogical approaches using TikTok in higher dance education in China and Norway during a global pandemic. Research in Dance Education, 1-16. https://doi.org/10.1080/14647893.2022.2114446
38. Nakata, N., Ishibashi, Y., & Miyata, S. (2022). Efficient cell impedance measurement by dielectrophoretic cell accumulation and evaluation of chondrogenic phenotypes. Micromachines, 13(6), 837. 1-11. https://doi.org/10.3390/mi13060837
39. Byström, A., Hardeman, A. M., Engell, M. T., Swagemakers, J. H., Koene, M. H. W., Serra-Bragança, F. M., Rhodin, M., & Hernlund, E. (2023). Normal variation in pelvic roll motion pattern during straight-line trot in hand in warmblood horses. Scientific reports, 13(1), 1-11, 17117. https://doi.org/10.1038/s41598-023-44223-2
40. Monson, H., Demaine, J., Perryman, A., & Felfeli, T. (2024). Bibliometric analysis of the 3-year trends (2018–2021) in literature on artificial intelligence in ophthalmology and vision sciences. BMJ Health & Care Informatics, 31(1), 1-9, e100780. https://doi.org/10.1136/ bmjhci-2023-100780
41. Sweileh, W. M., AbuTaha, A. S., Sawalha, A. F., Al-Khalil, S., Al-Jabi, S. W., & Zyoud, S. E. H. (2016). Bibliometric analysis of worldwide publications on multi-, extensively, and totally drug–resistant tuberculosis (2006–2015). Multidisciplinary Respiratory Medicine, 11, 1-16. https://doi.org/10.1186/s40248-016-0081-0
42. Sweileh, W. M., Al-Jabi, S. W., Sa’ed, H. Z., Sawalha, A. F., & Abu-Taha, A. S. (2018). Global research output in antimicrobial resistance among uropathogens: A bibliometric analysis (2002–2016). Journal of Global Antimicrobial Resistance, 13, 104-114. https://doi.org/10.1016/j.jgar.2017.11.017
43. Wang, J., Mao, T., Zhou, H., Jiang, X., Zhao, Z., & Zhang, X. (2024). Global trends and hotspots of ulcerative colitis based on bibliometric and visual analysis from 1993 to 2022. Medicine, 103(5), 1-11, http://dx.doi.org/10.1097/MD.0000000000037095
44. Ye, J., Ding, H., Ren, J., & Xia, Z. (2018). The publication trend of neuropathic pain in the world and China: A 20–years bibliometric analysis. The journal of Headache and Pain, 19, 1-8. https://doi.org/10.1186/s10194-018-0941-4
45. Zhao, Y., Huang, L., Xiang, M., Li, Q., Miao, W., & Lou, Z. (2018). Trends in conjunctivochalasis research from 1986 to 2017: a bibliometric analysis. Medicine, 97(39), 1-15. http://dx.doi.org/10.1097/MD.0000000000012643
46. Singh, V. K., Singh, P., Karmakar, M., Leta, J., & Mayr, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126, 5113-5142. https://doi.org/10.1007/s11192-021-03948-5
47. Archambault, É., Campbell, D., Gingras, Y., & Larivière, V. (2009). Comparing bibliometric statistics obtained from the web of science and scopus. Journal of the American Society for İnformation Science and Technology, 60(7), 1320-1326. https://doi.org/10.1002/asi.21062
48. Burnham, J. F. (2006). Scopus database: a review. Biomedical digital libraries, 3, 1-8. https://doi.org/10.1186/1742-5581-3-1
49. Vieira, E. S., & Gomes, J. A. (2009). A comparison of scopus and web of science for a typical university. Scientometrics, 81, 587-600. https://doi.org/10.1007/s11192-009-2178-0
50. García-Sánchez, P., Mora, A. M., Castillo, P. A., & Pérez, I. J. (2019). A bibliometric study of the research area of videogames using Dimensions. ai database. Procedia Computer Science, 162, 737-744. https://doi.org/10.1016/j.procs.2019.12.045
51. Hook, D. W., Porter, S. J., & Herzog, C. (2018). Dimensions: building context for search and evaluation. Frontiers in Research Metrics and Analytics, 3, 1-11. https://doi.org/10.3389/frma.2018.00023
52. Ariyanto, K. (2023). Analisis bibliometrik trend penelitian pemodelan matematis menggunakan database google scholar, publish or perish, dan vosviewer. Indo-MathEdu Intellectuals Journal, 4(2), 155-163. http://doi.org/10.54373/imeij.v4i2.150
53. Moed, H. F., Bar-Ilan, J., & Halevi, G. (2016). A new methodology for comparing google scholar and scopus. Journal of informetrics, 10(2), 533-551. http://dx.doi.org/10.1016/j.joi.2016.04.017
54. Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of pubmed, scopus, web of science, and google scholar: Strengths and weaknesses. The FASEB journal, 22(2), 338-342. https://doi.org/10.1096/fj.07-9492LSF
55. Zhao, X., Jiang, H., Yin, J., Liu, H., Zhu, R., Mei, S., & Zhu, C. T. (2022). Changing trends in clinical research literature on pubmed database from 1991 to 2020. European Journal of Medical Research, 27(1), 1-11. https://doi.org/10.1186/s40001-022-00717-9
56. Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of web of science and scopus: A comparative analysis. Scientometrics, 106, 213-228. https://doi.org/10.1007/s11192-015-1765-5
57. Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, 9(1), 1-59. https://doi.org/10.3390/ publications9010012
58. Guz, A. N., & Rushchitsky, J. J. (2009). Scopus: A system for the evaluation of scientific journals. International Applied Mechanics, 45, 351-362. https://doi.org/10.1007/s10778-009-0189-4
59. Thelwall, M., & Sud, P. (2022). Scopus 1900–2020: Growth in articles, abstracts, countries, fields, and journals. Quantitative Science Studies, 3(1), 37-50. https://doi.org/10.1162/qss_a_00177
60. 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
61. Hakkaraki, V. (2023). A bibliometric analysis of journal of scientometric research based on dimensions database. Indian Journal of Information Sources and Services, 13(1), 26-31. https://doi.org/10.51983/iji
62. Amalou, S. I. (2024). Organizational climate and performance in higher education: a bibliometric analyses using dimensions database. Majapahit Journal of Islamic Finance and Management, 4(1), 1-24. https://doi.org/10.31538/mjifm.v4i1.55
63. Al Husaeni, D. F., & Nandiyanto, A. B. D. (2022). Mapping visualization analysis of computer science research data in 2017-2021 on the google scholar database with vosviewer. International Journal of Informatics, Information System and Computer Engineering (INJIISCOM), 3(1), 1-20. https://doi.org/10.34010/injiiscom.v3i1.6376
64. Rostiany, Y., & Tjandra, E. (2022). Analisis bibliometrik studi perkembangan metode service quality pada database google scholar menggunakan vosviewer (studi literatur tahun 2016–2020). Smatıka Jurnal: Stıkı Informatika Jurnal, 12(1), 85-93. https://doi.org/10.32664/smatika.v12i01.677
65. Gusenbauer, M., & Haddaway, N. R. (2020). Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of google scholar, pubmed, and 26 other resources. Research Synthesis Methods, 11(2), 181-217. https://doi.org/10.1002/jrsm.1378
66. Canese, K., & Weis, S. (2013). PubMed: the bibliographic database. The NCBI handbook.
67. Chadegani, A. A., Salehi, H., Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ebrahim, N. A. (2013). A comparison between two main academic literature collections: web of science and scopus databases. arXiv preprint arXiv: 1305.0377. 9(5),18-26. https://doi.org/10.5539/ass.v9n5p18
68. Gürler, G. (2021). Bibliyometrik araştırmalarda ilgili literatüre ilişkin veri setinin oluştutulma süreci. O. Öztürk ve G. Gürler (Ed.), Bir literatür incelemesi aracı olarak bibliyometrik analiz. (2. Basım), (ss.53-66). Ankara: Nobel.
69. Abdelwahab, S. I., Taha, M. M. E., Moni, S. S., & Alsayegh, A. A. (2023). Bibliometric mapping of solid lipid nanoparticles research (2012–2022) using VOSviewer. Medicine in Novel Technology and Devices, 17, 1-9. https://doi.org/10.1016/j.medntd.2023.100217
70. Brika, S. K. M., Algamdi, A., Chergui, K., Musa, A. A., & Zouaghi, R. (2021, May). Quality of higher education: A bibliometric review study. Frontiers in Education 6, 1-15. https://doi.org/10.3389/feduc.2021.666087
71. Gao, Y., Ge, L., Shi, S., Sun, Y., Liu, M., Wang, B., Shang, Y., Wu, J., & Tian, J. (2019). Global trends and future prospects of e-waste research: a bibliometric analysis. Environmental Science and Pollution Research, 26, 17809-17820. https://doi.org/10.1007/s11356-019-05071-8
72. Hernández-Vásquez, A., Alarcon-Ruiz, C. A., Bendezu-Quispe, G., Comandé, D., & Rosselli, D. (2018). A bibliometric analysis of the global research on biosimilars. Journal of Pharmaceutical Policy and Practice, 11(1), 1-8. https://doi.org/10.1186/ s40545-018-0133-2
73. Liaqat, W., Altaf, M. T., Barutçular, C., Zayed, E. M., & Hussain, T. (2023). Drought and sorghum: a bibliometric analysis using VOS viewer. Journal of Biomolecular Structure and Dynamics, 1-13. https://doi.org/10.1080/07391102.2023.2269279
74. Masitoh, P. N. A., Latifah, S., Saregar, A., Aziz, A., & Jamaluddin, W. (2021, February). Bibliometric analysis of physics problem solving. Journal of Physics: Conference Series (Vol. 1796, No. 1, p. 012009). IOP Publishing. https://doi.org/10.1088/1742-6596/1796/1/012009
75. Wassouo, E., & Sovet, L. (2021). Politiques linguistiques et apprentissage des langues en milieu éducatif: Analyse bibliométrique des thèses soutenues en Afrique francophone, en Haïti et au Liban. Synergies France. 61-73.
76. Yorulmaz, M., & Baykan, Y. (2022). Türkiye’de liman işletmeciliği alanında yapılmış lisansüstü tezlerin bibliyometrik analizi. Journal of Maritime Transport and Logistics, 3(2), 98-111. http://dx.doi.org/10.52602/mtl.1062519 2757-8119
77. Saatcı, G., & Aksu, S. (2020). Ayrımcılık konulu lisansüstü tezlerin bibliyometrisi: turizm perspektifinden bir değerlendirme. TÜBAV Bilim Dergisi, 13(1), 111-125.
78. Genç, G. (2022). Examination of postgraduate theses in Turkey within the scope of social enterprise/entrepreneur/entrepreneurship: a bibliometric analysis. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 10(2), 961-979. http://dx.doi.org/10.18506/anemon.1096694
79. Kazuharu, Y. (2017). A bibliometric analysis of master’s theses relevant to translation studies in Thailand. Thai Journal of East Asian Studies, 21(2), 89-105.
80. Al-Ghamdi, A. A., & Mowafi, H. A. (2014). Three decades of anesthesiology research at King Fahd Hospital of the university: Bibliometric analysis of volume and visibility. Saudi Journal of Medicine & Medical Sciences, 2(3), 185-189. https://doi.org/10.4103/1658-631X.142534
81. Geetha, N., & Kothainayaki, S. (2019). Research Output of Anna University: A bibliometric study based on scopus database. Asian Journal of Information Science & Technology (AJIST), 9, 84-91. https://doi.org/10.51983/ajist-2019.9.S1.215
82. Maharana, R. K. (2013). Bibliometric analysis of Orissa University of Agricultural Technology’s research output as indexed in Scopus in 2008-2012. Chinese Librarianship: An International Electronic Journal, 36, 25-34.
83. Nagarkar, S. (2014). A bibliometric analysis of publications of the chemistry department, University of Pune, India, 1999-2012. Annals of Library and Information Studies (ALIS), 61(2), 85-92.
84. Umate, R., Patil, M. S., Telrandhe, S., Pathade, A., & Choudhary, S. (2019). A review of scopus ındexed publications affiliated to a Deemed University in Central India using bibliometric analysis. International Journal of Pharmaceutical Research, 11(2). https://doi.org/10.31838/ijpr/2019.11.02.219
85. Paylı, M., & Çevik, O. (2025). Bibliometric analysis of scientific productivity of Selçuk University in academic studies: wos case (2019-2023). Turkish Journal of Engineering, 9(1), 129-151. https://doi.org/10.31127/tuje.1530981
86. Confraria, H., & Godinho, M. M. (2015). The impact of African science: A bibliometric analysis. Scientometrics, 102, 1241-1268. https://doi.org/10.1007/s11192-014-1463-8
87. Glänzel, W., Schubert, A., & Czerwon, H. (1999). A bibliometric analysis of international scientific cooperation of the European Union (1985–1995). Scientometrics, 45(2), 185-202. https://doi.org/10.1007/bf02458438
88. Bornmann, L., Wagner, C., & Leydesdorff, L. (2015). BRICS countries and scientific excellence: A bibliometric analysis of most frequently cited papers. Journal of the Association for Information Science and Technology, 66(7), 1507-1513. https://doi.org/10.1002/asi.23333
89. Lancho-Barrantes, B. S., & Cantú-Ortiz, F. J. (2019). Science in Mexico: A bibliometric analysis. Scientometrics, 118(2), 499-517.
90. Wang, M. H., Li, J., & Ho, Y. S. (2011). Research articles published in water resources journals: A bibliometric analysis. Desalination and Water Treatment, 28(1-3), 353-365. https://doi.org/10/5004/dwt.2011.2412
91. Warraich, N. F., & Ahmad, S. (2011). Pakistan journal of library and information science: a bibliometric analysis. Pakistan Journal of Information Management and Libraries, 12(1). 29-35. https://doi.org/10.47657%2F201112821
92. Xiao, Z., Qin, Y., Xu, Z., Antucheviciene, J., & Zavadskas, E. K. (2022). The journal buildings: A bibliometric analysis (2011–2021). Buildings, 12(1), 37. https://doi.org/10.3390/ buildings12010037
93. Yu, D., Xu, Z., & Antuchevičienė, J. (2019). Bibliometric analysis of the journal of civil engineering and management between 2008 and 2018. 402-410. https://doi.org/10.3846/jcem.2019.9925
94. Şasi, A., & Yakar, M. (2018). Photogrammetric modelling of hasbey dar'ülhuffaz (masjid) using an unmanned aerial vehicle. International Journal of Engineering and Geosciences, 3(1), 6-11. https://doi.org/10.26833/ijeg.328919. https://dergipark.org.tr/en/pub/ijeg/rejection-statistics 22.03.2025
95. Avcı, C., Budak, M., Yağmur, N., & Balçık, F. (2023). Comparison between random forest and support vector machine algorithms for LULC classification. International Journal of Engineering and Geosciences, 8(1), 1-10. https://doi.org/10.26833/ijeg.987605
96. Kaplan, G., & Avdan, Z. Y. (2020). Space-borne air pollution observation from sentinel-5p tropomi: Relationship between pollutants, geographical and demographic data. International Journal of Engineering and Geosciences, 5(3), 130-137. https://doi.org/10.26833/ijeg.644089
97. Çömert, R., Matcı, D. K., & Avdan, U. (2019). Object based burned area mapping with random forest algorithm. International Journal of Engineering and Geosciences, 4(2), 78-87. https://doi.org/10.26833/ijeg.455595
98. Akar, A. (2017). Evaluation of accuracy of dems obtained from uav-point clouds for different topographical areas. International Journal of Engineering and Geosciences, 2(3), 110-117. https://doi.org/10.26833/ijeg.329717
99. Ahady, A. B., & Kaplan, G. (2022). Classification comparison of Landsat-8 and Sentinel-2 data in Google Earth Engine, study case of the city of Kabul. International Journal of Engineering and Geosciences, 7(1), 24-31. https://doi.org/10.26833/ijeg.860077
100. Al Kalbani, K., & Rahman, A. A. (2022). 3D city model for monitoring flash flood risks in Salalah, Oman. International Journal of Engineering and Geosciences, 7(1), 17-23. https://doi.org/10.26833/ijeg.857971
101. Şasi, A., & Yakar, M. (2018). Photogrammetric modelling of hasbey dar'ülhuffaz (masjid) using an unmanned aerial vehicle. International Journal of Engineering and Geosciences, 3(1), 6-11. https://doi.org/10.26833/ijeg.328919
102. Şenkal, E., Kaplan, G., & Avdan, U. (2021). Accuracy assessment of digital surface models from unmanned aerial vehicles’ imagery on archaeological sites. International Journal of Engineering and Geosciences, 6(2), 81-89. https://doi.org/10.26833/ijeg.696001
103. Yilmaz, H. M., Yakar, M., Mutluoglu, O., Kavurmaci, M. M., & Yurt, K. (2012). Monitoring of soil erosion in Cappadocia region (Selime-Aksara Turkey). Environmental Earth Sciences, 66(1), 75-81
104. Canaz-Sevgen, S. C. (2019). Airborne lidar data classification in complex urban area using random forest: a case study of Bergama, Turkey. International Journal of Engineering and Geosciences, 4(1), 45-51. https://doi.org/10.26833/ijeg.440828