Mapping a decade of research on employee attrition prediction: a bibliometric and thematic analysis of machine learning applications (2014–2025)
- DOI
- 10.1080/23311975.2026.2622721
- Published
- 2026-03-16
- Container
- Cogent Business & Management
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/23311975.2026.2622721,
title = {Mapping a decade of research on employee attrition prediction: a bibliometric and thematic analysis of machine learning applications (2014–2025)},
author = {Sangeetha M and Vijayaraj K},
year = {2026},
journal = {Cogent Business \& Management},
doi = {10.1080/23311975.2026.2622721},
url = {https://doi.org/10.1080/23311975.2026.2622721}
}RIS
TY - JOUR TI - Mapping a decade of research on employee attrition prediction: a bibliometric and thematic analysis of machine learning applications (2014–2025) AU - Sangeetha M AU - Vijayaraj K PY - 2026 JO - Cogent Business & Management DO - 10.1080/23311975.2026.2622721 UR - https://doi.org/10.1080/23311975.2026.2622721 ER -
APA
M, S., & K, V. (2026). Mapping a decade of research on employee attrition prediction: a bibliometric and thematic analysis of machine learning applications (2014–2025). Cogent Business & Management. https://doi.org/10.1080/23311975.2026.2622721
Source records
- crossref · retrieved 2026-09-26T06:10:05.951Z