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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 7

Published on: July 2026

A BIBLIOMETRIC ANALYSIS OF HUMAN RESOURCE ANALYTICS USING VOSVIEWER AND R STUDIO BIBLIOMETRIX

Dr. Vibha Kushwaha Dr. Mohit Kumar

INDEPENDENT RESEARCHER
DOI:https://doi.org/10.55041/ijcope.v2i7.244

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Abstract

Purpose: HR Analytics is a growing topic and an area of interest for many researchers across India and worldwide. This study aims to emphasize collaboration among authors, universities, and countries in the area and, identify the most prominent authors, journals, universities, and countries to learn about the research challenges on which researchers are currently working in HR Analytics. Methodology: This study systematically examined the Human Resource Analytics study area by conducting a bibliometric study of 266 Scopus articles from 2012 to July 2023. We conducted a various analyses using VOSviewer and R Studio Bibliometrix.

Findings: The finding of the study shows that India, the US, Germany, and the Netherlands are the top countries in HR Analytics publications; collaborations between countries and universities focusing on HR Analytics are minimal. Angrave et al. and Marler and Boudreau were the most prominent authors.

Originality/ Value: The findings of this study provide valuable information to academicians, scholars and researchers to understand the research trends in Human Resource Analytics.

Keywords: HR analytics, Human Resource Analytics, Bibliometric analysis, VOSviewer, Biblioshiny.

How to Cite this Paper

Kushwaha, V. & Kumar, M. (2026). A Bibliometric Analysis of Human Resource Analytics Using Vosviewer and R Studio Bibliometrix. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(7), 1-9. https://doi.org/10.55041/ijcope.v2i7.244

Kushwaha, Vibha, and Mohit Kumar. "A Bibliometric Analysis of Human Resource Analytics Using Vosviewer and R Studio Bibliometrix." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 7, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i7.244.

Kushwaha, Vibha, and Mohit Kumar. "A Bibliometric Analysis of Human Resource Analytics Using Vosviewer and R Studio Bibliometrix." International Journal of Creative and Open Research in Engineering and Management 02, no. 7 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i7.244.

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References


  • Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016). HR and analytics: why HR is set to fail the big data challenge. Human Resource Management Journal, 26(1), 1–11. https://doi.org/10.1111/1748-8583.12090

  • Biancone, P. Pietro, Saiti, B., Petricean, D., & Chmet, F. (2020). The bibliometric analysis of Islamic banking and Journal of Islamic Accounting and Business Research, 11(9), 2069–2086. https://doi.org/10.1108/JIABR-08-2020-0235

  • Chitra , & Srivaramangai P. (2018). A Study on Analytics of Human Resource Management in Big Data. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 3(3), 58–68.

  • (2017). Rewriting the rules for the digital age. 2017 Deloitte global human capital trends. Deloitte University Press.

  • 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

  • Edwards, R. (2018). HR metrics and analytics. In e-HRM (pp. 89-105). Routledge.

  • Edwards, M. R., & Edwards, K. (2019). Predictive HR analytics: Mastering the HR metric. Kogan Page Publishers.

  • Edwards, M. , & Edwards, K. (2019). Predictive HR analytics: Mastering the HR metric. Kogan Page Publishers.

  • https://www.elsevier.com/ data/assets/pdf_file/0017/114533/Scopus-fact-sheet pdf

  • Kryscynski, D., Reeves, C., Stice-Lusvardi, R., Ulrich, M., & Russell, G. (2018). Analytical abilities and the performance of HR professionals. Human Resource Management, 57(3), 715–738. https://doi.org/10.1002/hrm.21854

  • Levenson, (2005). Harnessing the power of HR analytics. Strategic HR Review, 4(3), 28–



  1. https://doi.org/10.1108/14754390580000607



van der Togt, J., & Rasmussen, T. H. (2017). Toward evidence-based HR. Journal of Organizational Effectiveness: People and Performance, 4(2), 127–132. https://doi.org/10.1108/JOEPP-02-2017-0013

Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Jul 27 2026
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