Research Article


DOI :10.26650/JODA.1462396   IUP :10.26650/JODA.1462396    Full Text (PDF)

Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases

Mehmet YıldızTürkan Karakuş Yılmaz

The number of academic studies is increasing with the widespread use of digital tools. This increase makes it difficult to identify research trends, tendencies, themes, and other important points in various fields. Bibliometric analysis allows for the mapping of a field by analysing several academic studies and extracting meaningful conclusions. Therefore, bibliometric studies that are well conducted can build firm foundations for advancing a field in novel and meaningful ways. Bibliometric analysis, which is one of the approaches frequently used by researchers in the process of obtaining meaningful information from big data, has gained popularity especially in recent years. In this study, the bibliometrix package in the R programming language, which is frequently used in bibliometric analyses, is introduced and various analyses applied in the study are shown. Within the scope of this research, studies involving the R bibliometrix package were examined as sample applications. While bibliometric studies usually include the Scopus or Web of Science (WOS) databases, this study includes data obtained from both databases. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) steps were followed in the study. Accordingly, it provides an overview of bibliometric analysis, focussing in particular on its different techniques and providing step-by-step instructions on the procedures to be performed to perform bibliometric analysis with confidence. In the study, bibliometric analyses of 957 bibliometric studies obtained from the Wos and Scopus databases were also conducted. Because of the analysis, descriptive statistics such as year, author, journal, frequently used words, citations, etc. were presented.


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References

  • Ahmi, A. (2022). Bibliometric Analysis using R for Non-Coders: A practical handbook in conducting bibliometric analysis studies using Biblioshiny for Bibliometrix R package. google scholar
  • 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 google scholar
  • Chen, C. (2006). CiteSpaceII: 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 google scholar
  • Cobo, M. J., Lopez-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), 16091630. https://doi.org/10.1002/asi.22688 google scholar
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W.M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. J. Bus. Res, 133, 285-296. google scholar
  • Ellegaard, O., & Wallin, J.A. (2015), “The bibliometric analysis of scholarly production: how great is the impact?”, Scientometrics, Vol. 105 No. 3, pp. 1809-1831. google scholar
  • Erdoğan, R. E. (2021). Analysis and mapping of computational design research in architecture with bibliometric methods. [Unpublished master’s thesis]. Baskent University. google scholar
  • Hao, Y.-F., Peng, K., Mai, Q.-L., Meng, M.-Q., Wang, D., & Zhang, X.-Y. (2020). A bibliometric analysis of nursing research in COVID-19 in China. Journal of Integrative Nursing, 2(3), 116. https://doi.org/10. 4103/jin.jin_32_20 google scholar
  • Gaur, A., & Kumar, M. (2018). A systematic approach to conducting review studies: An assessment of content analysis in 25 years of IB research. Journal of World Business, 53(2), 280-289. google scholar
  • Khoshroo, M., & Talari, M. (2022). Scientific mapping of digital transformation strategy research studies in the industry 4.0: a bibliometric analysis. Nankai Business Review International, 14(1), 3-34. https://doi.org/10.1108/ nbri-03-2022-0021 google scholar
  • Korkmaz, A. Ç., & Altuntaş, S. (2022). A bibliometric analysis of COVID-19 publications in nursing by visual mapping method. Journal of Nursing Management, 30(6), 1892-1902. google scholar
  • Liu, N., Ji, Y., Liu, R., & Jin, X. (2023). The state of astragaloside iv research: a bibliometric and visualized analysis. Clinical Pharmacology;, 38(2), 208-224. https://doi.org/10.1111/fcp.12956 google scholar
  • Luo, X., Yan, X., Yin, D., Xia, Y., Li, S., Shi, S., ... & Zhou, J. (2023). A bibliometric systematic review of extracellular vesicles in eye diseases from 2003 to 2022. Medicine, 102(33), e34831. https://doi.org/10.1097/ md.0000000000034831 google scholar
  • Marti-Parreno, J., Mendez-Ibanez, E., & Alonso-Arroyo, A. (2016). The use of gamification in education: a bibliometric and text mining analysis. Journal of computer assisted learning, 32(6), 663-676. google scholar
  • Oh, J., & Kim, A. (2020). A bibliometric analysis of COVID-19 research published in nursing journals. Science Editing, 7(2), 118-124. https:// doi.org/10.6087/kcse.205 google scholar
  • Ramos-Rodriguez, A. R., & Rmz-Navarro, J. (2004). Changes in the intellectual structure of strategic management research: a bibliometric study of the strategic management journal, 1980-2000. Strategic Management Journal, 25(10), 981-1004. https://doi.org/10.1002/smj.397 google scholar
  • Rashid, M.F.A. (2023). How to Conduct a Bibliometric Analysis using R Packages: A Comprehensive Guidelines. Journal of Tourism, Hospitality & Culinary Arts, 15(1), 24-39 google scholar
  • Ruiz-Real, J. L., Uribe-Toril, J., Valenciano, J. d. P., & Gazquez-Abad, J. C. (2018). Worldwide research on circular economy and environment: a bibliometric analysis. International Journal of Environmental Research and Public Health, 15(12), 2699. https://doi.org/10.3390/ijerph15122699 google scholar
  • Singh, N., & Arora, S. (2022). Recognizing the legacy of the tqm journal: a bibliometric analysis of scopus indexed publications (2008 - 2021). The TQM Journal, 35(4), 946-963. https://doi.org/10.1108/tqm-01-2022-0002 google scholar
  • Tao, Z., Zhou, S., Yao, R., Wen, K., Da, W., Meng, Y., Yang, K., Liu, H., & Tao, L. (2020). COVID-19 will stimulate a new coronavirus research breakthrough: A 20-year bibliometric analysis. Annals of Translational Medicine, 8(8), 528. https://doi.org/10.21037/atm.2020.04.26 google scholar
  • van Eck, N. J., & Waltman, L. (2014). 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 google scholar
  • 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 google scholar
  • Yadav, N., Luthra, S., & Garg, D. (2023). Blockchain technology for sustainable supply chains: a network cluster analysis and future research propositions. Environmental Science and Pollution Research, 30(24), 64779-64799. https://doi.org/10.1007/s11356-023-27049-3 google scholar
  • Zupic, I., & Ğater, T. (2014). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472. https://doi.org/10.1177/1094428114562629 google scholar

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APA

Yıldız, M., & Karakuş Yılmaz, T. (2023). Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases. Journal of Data Applications, 0(2), 31-46. https://doi.org/10.26650/JODA.1462396


AMA

Yıldız M, Karakuş Yılmaz T. Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases. Journal of Data Applications. 2023;0(2):31-46. https://doi.org/10.26650/JODA.1462396


ABNT

Yıldız, M.; Karakuş Yılmaz, T. Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases. Journal of Data Applications, [Publisher Location], v. 0, n. 2, p. 31-46, 2023.


Chicago: Author-Date Style

Yıldız, Mehmet, and Türkan Karakuş Yılmaz. 2023. “Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases.” Journal of Data Applications 0, no. 2: 31-46. https://doi.org/10.26650/JODA.1462396


Chicago: Humanities Style

Yıldız, Mehmet, and Türkan Karakuş Yılmaz. Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases.” Journal of Data Applications 0, no. 2 (Jul. 2024): 31-46. https://doi.org/10.26650/JODA.1462396


Harvard: Australian Style

Yıldız, M & Karakuş Yılmaz, T 2023, 'Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases', Journal of Data Applications, vol. 0, no. 2, pp. 31-46, viewed 25 Jul. 2024, https://doi.org/10.26650/JODA.1462396


Harvard: Author-Date Style

Yıldız, M. and Karakuş Yılmaz, T. (2023) ‘Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases’, Journal of Data Applications, 0(2), pp. 31-46. https://doi.org/10.26650/JODA.1462396 (25 Jul. 2024).


MLA

Yıldız, Mehmet, and Türkan Karakuş Yılmaz. Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases.” Journal of Data Applications, vol. 0, no. 2, 2023, pp. 31-46. [Database Container], https://doi.org/10.26650/JODA.1462396


Vancouver

Yıldız M, Karakuş Yılmaz T. Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases. Journal of Data Applications [Internet]. 25 Jul. 2024 [cited 25 Jul. 2024];0(2):31-46. Available from: https://doi.org/10.26650/JODA.1462396 doi: 10.26650/JODA.1462396


ISNAD

Yıldız, Mehmet - Karakuş Yılmaz, Türkan. Bibliometric Analysis in Scientific Research Using R: A Review of Scopus and Web of Science Databases”. Journal of Data Applications 0/2 (Jul. 2024): 31-46. https://doi.org/10.26650/JODA.1462396



TIMELINE


Submitted31.03.2024
Accepted23.05.2024
Published Online25.06.2024

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