A Framework-Based Evaluation of Bibliometric Analysis Tools: An Up-to-Date Review

Kushwaha, Aman Kumar and Kumar, Vinit . A Framework-Based Evaluation of Bibliometric Analysis Tools: An Up-to-Date Review., 2025 In: Studies on Bibliometrics, Scientometrics and Webometrics. Devyani Publishers and Distributors, Delhi, pp. 1-17. [Book chapter]

[thumbnail of PDF]
Preview
Text (PDF)
Kushwaha_AK_Kumar_V_2025_BibliometricToolsEvaluation_StudiesOnBibliometrics.pdf - Published version
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (887kB) | Preview

English abstract

This paper examines the importance of bibliometric analysis in evaluating research output, trends, influence, and gaps and compares three widely used bibliometric tools such as VOSviewer, Bibliometrix/Biblioshiny, and biblioMagika. Further, the interface, analytical capacity, data management, pre-processing tools, and fit for different user types for these three tools are evaluated using a ten-dimensional comparison framework. This study offers a thorough and easily available assessment to support librarians, researchers, and information workers in selecting appropriate techniques for bibliometric studies, therefore improving informed and effective procedures of research assessment.

Item type: Book chapter
Keywords: Bibliometric tools, bibliometric analysis, comparative framework, tool selection, analytical software
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Mr. Aman Kumar Kushwaha
Date deposited: 25 Jun 2025 10:36
Last modified: 25 Jun 2025 10:36
URI: http://hdl.handle.net/10760/46901

References

Ahmi, A. (2024). biblioMagika® (Version 2.10.0) [Macros-MS-Excel]. https://bibliomagika.com/

Aksnes, D. W., Piro, F. N., & Rørstad, K. (2019). Gender gaps in international research collaboration: A bibliometric approach. Scientometrics, 120(2), 747–774. https://doi.org/10.1007/s11192-019-03155-3

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

Bales, M. E., Wright, D. N., Oxley, P. R., & Wheeler, T. R. (2020). Bibliometric Visualization and Analysis Software: State of the Art, Workflows, and Best Practices. https://hdl.handle.net/1813/69597

Basumatary, B., Verma, A. K., & Verma, M. K. (2023). Global research trends on aquaponics: A systematic review based on computational mapping. Aquaculture International, 31(2), 1115–1141. https://doi.org/10.1007/s10499-022-01018-y

Bornmann, L., Haunschild, R., & Mutz, R. (2021). Growth rates of modern science: A latent piecewise growth curve approach to model publication numbers from established and new literature databases. Humanities and Social Sciences Communications, 8(1), 1–15. https://doi.org/10.1057/s41599-021-00903-w

Chuang, I. (2020). Tackling the infodemic: Part 1. Tackling the Infodemic: Part 1. https://www.elsevier.com/en-in/resources/tackling-the-infodemic-1

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. https://doi.org/10.1002/asi.21525

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

Fuller, R. B. (1981). Critical Path. St. Martin’s Press. https://archive.org/details/criticalpath00full

Gusenbauer, M. (2019). Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases. Scientometrics, 118(1), 177–214. https://doi.org/10.1007/s11192-018-2958-5

Gusenbauer, M. (2022). Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases. Scientometrics, 127(5), 2683–2745. https://doi.org/10.1007/s11192-022-04289-7

He, Q., Wang, T., Chan, A. P. C., Li, H., & Chen, Y. (2019). Identifying the gaps in project success research: A mixed bibliographic and bibliometric analysis. Engineering, Construction and Architectural Management, 26(8), 1553–1573. https://doi.org/10.1108/ECAM-04-2018-0181

Ikpaahindi, L. (1985). An overview of bibliometrics: Its measurements, laws and their applications. Libri, 35(2), 163–177.

Kushwaha, A. K., Singh, J., & Kumar, V. (2024). Post-COVID-19 Publication Opportunities for Medical Academics in Top Indian Medical Institutes: An Investigation into Productivity, New Venues, and Collaborations. Science & Technology Libraries. https://www.tandfonline.com/doi/full/10.1080/0194262X.2024.2434830

Lim, W. M., & Kumar, S. (2024). Guidelines for interpreting the results of bibliometric analysis: A sensemaking approach. Global Business and Organizational Excellence, 43(2), 17–26. https://doi.org/10.1002/joe.22229

Marzi, G., Balzano, M., Caputo, A., & Pellegrini, M. M. (2025). Guidelines for Bibliometric-Systematic Literature Reviews: 10 steps to combine analysis, synthesis and theory development. International Journal of Management Reviews, 27(1), 81–103. https://doi.org/10.1111/ijmr.12381

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. Profesional de La Información, 29(1), Article 1. https://doi.org/10.3145/epi.2020.ene.03

Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024). How to design bibliometric research: An overview and a framework proposal. Review of Managerial Science. https://doi.org/10.1007/s11846-024-00738-0

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


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item