Scientific Production and Thematic Research Trends in Albahit Journal of Applied Sciences: A Bibliometric Analysis of Publications from 2020 to 2026

Authors

  • Taha Muftah Abuali Department of Mechanical Engineering, Collage of Technical Sciences, Bani Walid, Liby Author

DOI:

https://doi.org/10.65417/ljere.v2i2.109

Keywords:

bibliometrics, citation analysis, scientific production, research collaboration, thematic analysis, Libyan journals

Abstract

Purpose: This study maps the scientific production and thematic development of Albahit Journal of Applied Sciences from 2020 through 20 July 2026. It evaluates publication dynamics, citation impact, authorship and collaboration, and the evolution of research themes. Design/methodology/approach: Official journal archive metadata were reconciled with a dated Google Scholar journal-profile snapshot. Of 99 raw records, one duplicate version and one erroneous metadata-only record were excluded, yielding a census of 97 publications. Performance indicators, h- and i10-indices, citation concentration, the Gini coefficient, collaboration measures, an exclusive broad-field taxonomy, and a multi-label title-derived subtheme taxonomy were applied. Findings: The corpus received 77 citations (mean 0.79; median 0); 72 publications (74.2%) were uncited. The journal-level h-index was 4 and i10-index 1, while the citation Gini coefficient was 0.869. Output was discontinuous: no publications were identified in 2023–2024, whereas 2025 contributed 39 papers (40.2%). Electrical engineering and renewable energy and computer science, communications, and artificial intelligence were the largest fields (17 papers each). Recent output shifted toward water and environmental assessment, control and automation, health applications, and AI/data-driven systems. Mean authorship was 2.28; the degree of collaboration was 0.732, but 190 of 205 unique authors (92.7%) appeared only once. Originality/value: No prior bibliometric study of this journal was identified in the searches undertaken. The study provides an auditable baseline and a practical editorial roadmap for continuity, metadata quality, thematic coherence, collaboration, and visibility.

References

Albahit Journal of Applied Sciences. (2026). Archives. Retrieved July 20, 2026, from https://albahitjas.com.ly/index.php/albahit/en/issue/archive

Aria, M., & 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

Dardas, L. A., Malkawi, A. M. A., Sweis, S., Sweis, N., Al-Khayat, A., & Sawair, F. A. (2023). Mapping two decades of research productivity in the Middle Eastern and Arab countries: A comprehensive bibliometric analysis. Publications, 11(4), Article 48. https://doi.org/10.3390/publications11040048

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Donthu, N., Kumar, S., Pandey, N., & Gupta, P. (2021). Forty years of the International Journal of Information Management: A bibliometric analysis. International Journal of Information Management, 57, Article 102307. https://doi.org/10.1016/j.ijinfomgt.2020.102307

Donthu, N., Kumar, S., & Pattnaik, D. (2020). Forty-five years of Journal of Business Research: A bibliometric analysis. Journal of Business Research, 109, 1–14. https://doi.org/10.1016/j.jbusres.2019.10.039

El Rassi, R., Meho, L. I., Nahlawi, A., Salameh, J. S., Bazarbachi, A., & Akl, E. A. (2018). Medical research productivity in the Arab countries: 2007–2016 bibliometric analysis. Journal of Global Health, 8(2), Article 020411. https://doi.org/10.7189/jogh.08.020411

Harzing, A.-W., & Alakangas, S. (2016). Google Scholar, Scopus and the Web of Science: A longitudinal and cross-disciplinary comparison. Scientometrics, 106(2), 787–804. https://doi.org/10.1007/s11192-015-1798-9

Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520(7548), 429–431. https://doi.org/10.1038/520429a

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

Jacsó, P. (2010). Metadata mega mess in Google Scholar. Online Information Review, 34(1), 175–191. https://doi.org/10.1108/14684521011024191

Lawani, S. M. (1986). Some bibliometric correlates of quality in scientific research. Scientometrics, 9(1–2), 13–25. https://doi.org/10.1007/BF02016604

Lim, W. M., Kumar, S., & Donthu, N. (2024). How to combine and clean bibliometric data and use bibliometric tools synergistically: Guidelines using metaverse research. Journal of Business Research, 182, Article 114760. https://doi.org/10.1016/j.jbusres.2024.114760

Martín-Martín, A., Orduna-Malea, E., Thelwall, M., & Delgado López-Cózar, E. (2018). Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories. Journal of Informetrics, 12(4), 1160–1177. https://doi.org/10.1016/j.joi.2018.09.002

Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & Delgado López-Cózar, E. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations' COCI: A multidisciplinary comparison of coverage via citations. Scientometrics, 126(1), 871–906. https://doi.org/10.1007/s11192-020-03690-4

Mokhtari, H., Barkhan, S., Haseli, D., & Saberi, M. K. (2020). A bibliometric analysis and visualization of the Journal of Documentation: 1945–2018. Journal of Documentation, 77(1), 69–92. https://doi.org/10.1108/JD-08-2019-0165

Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5

Mubin, O., Alnajjar, F., & Arsalan, M. (2022). HCI research in the Middle East and North Africa: A bibliometric and socioeconomic overview. International Journal of Human–Computer Interaction, 38(16), 1546–1562. https://doi.org/10.1080/10447318.2021.2004701

Mukherjee, D., Lim, W. M., Kumar, S., & Donthu, N. (2022). Guidelines for advancing theory and practice through bibliometric research. Journal of Business Research, 148, 101–115. https://doi.org/10.1016/j.jbusres.2022.04.042

Musa, T. H., Kawuki, J., & Musa, H. H. (2022). Bibliometric analysis of the African Health Sciences' research indexed in Web of Science and Scopus. African Health Sciences, 22(2), 704–716. https://doi.org/10.4314/ahs.v22i2.80

Subramanyam, K. (1983). Bibliometric studies of research collaboration: A review. Journal of Information Science, 6(1), 33–38. https://doi.org/10.1177/016555158300600105

van Eck, N. J., & 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

Waltman, L. (2016). A review of the literature on citation impact indicators. Journal of Informetrics, 10(2), 365–391. https://doi.org/10.1016/j.joi.2016.02.007

Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629

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Published

2026-07-05

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How to Cite

Taha Muftah Abuali. (2026). Scientific Production and Thematic Research Trends in Albahit Journal of Applied Sciences: A Bibliometric Analysis of Publications from 2020 to 2026. Libyan Journal of Educational Research and E-Learning (LJERE), 2(2), 32-47. https://doi.org/10.65417/ljere.v2i2.109