Mapping a decade of research on employee attrition prediction: a bibliometric and thematic analysis of machine learning applications (2014–2025)

Sangeetha M, Vijayaraj K

Open source

DOI
10.1080/23311975.2026.2622721
Published
2026-03-16
Container
Cogent Business & Management
Publisher
Informa UK Limited
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

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