OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Improving measurement and prediction in personnel selection through the application of machine learning
Nick Koenig, Scott Tonidandel, Isaac Thompson, et al.
Personnel Psychology (2023) Vol. 76, Iss. 4, pp. 1061-1123
Open Access | Times Cited: 16
Nick Koenig, Scott Tonidandel, Isaac Thompson, et al.
Personnel Psychology (2023) Vol. 76, Iss. 4, pp. 1061-1123
Open Access | Times Cited: 16
Showing 16 citing articles:
Exploring the gap between research and practice in human resource management (HRM): a scoping review and agenda for future research
Philip Negt, Axel Haunschild
Management Review Quarterly (2024)
Open Access | Times Cited: 8
Philip Negt, Axel Haunschild
Management Review Quarterly (2024)
Open Access | Times Cited: 8
Using Practice Employment Tests to Improve Diversity in Recruitment and Selection Through Equalizing Preparation Opportunities
Emily D. Campion, Michael A. Campion
Human Resource Management (2025)
Open Access | Times Cited: 1
Emily D. Campion, Michael A. Campion
Human Resource Management (2025)
Open Access | Times Cited: 1
A systematic literature review on artificial intelligence in recruiting and selection: a matter of ethics
Martina Mori, Sara Sassetti, Vincenzo Cavaliere, et al.
Personnel Review (2024)
Closed Access | Times Cited: 7
Martina Mori, Sara Sassetti, Vincenzo Cavaliere, et al.
Personnel Review (2024)
Closed Access | Times Cited: 7
Machine learning applications to personnel selection: Current illustrations, lessons learned, and future research
Michael A. Campion, Emily D. Campion
Personnel Psychology (2023) Vol. 76, Iss. 4, pp. 993-1009
Open Access | Times Cited: 15
Michael A. Campion, Emily D. Campion
Personnel Psychology (2023) Vol. 76, Iss. 4, pp. 993-1009
Open Access | Times Cited: 15
Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task
Julia Cecil, Eva Lermer, Matthias F. C. Hudecek, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Julia Cecil, Eva Lermer, Matthias F. C. Hudecek, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Predicting PTSD with Machine Learning: forecasting refugees’ trauma and tailored intervention
Sandra Figueiredo, Leyti Ndiaye
European Journal of Trauma & Dissociation (2025), pp. 100502-100502
Open Access
Sandra Figueiredo, Leyti Ndiaye
European Journal of Trauma & Dissociation (2025), pp. 100502-100502
Open Access
A review of text analysis in human resource management research: Methodological diversity, constructs identified, and validation best practices
Emily D. Campion, Michael A. Campion
Human Resource Management Review (2025) Vol. 35, Iss. 2, pp. 101078-101078
Closed Access
Emily D. Campion, Michael A. Campion
Human Resource Management Review (2025) Vol. 35, Iss. 2, pp. 101078-101078
Closed Access
Automating the managerial gaze: critical and genealogical notes on machine learning in personnel assessment
Felix Diefenhardt
The International Journal of Human Resource Management (2025), pp. 1-34
Open Access
Felix Diefenhardt
The International Journal of Human Resource Management (2025), pp. 1-34
Open Access
Artificial intelligence, machine learning, and big data: Improvements to the science of people at work and applications to practice
Sang Eun Woo, Louis Tay, Frederick L. Oswald
Personnel Psychology (2024) Vol. 77, Iss. 4, pp. 1387-1402
Open Access | Times Cited: 2
Sang Eun Woo, Louis Tay, Frederick L. Oswald
Personnel Psychology (2024) Vol. 77, Iss. 4, pp. 1387-1402
Open Access | Times Cited: 2
Taking It Easy: Off-the-Shelf Versus Fine-Tuned Supervised Modeling of Performance Appraisal Text
Andrew B. Speer, James Perrotta, Tobias L. Kordsmeyer
Organizational Research Methods (2024)
Closed Access | Times Cited: 1
Andrew B. Speer, James Perrotta, Tobias L. Kordsmeyer
Organizational Research Methods (2024)
Closed Access | Times Cited: 1
Enhancing Talent Recruitment in Business Intelligence Systems: A Comparative Analysis of Machine Learning Models
Hikmat Al-Quhfa, Ali Mothana, Abdussalam Aljbri, et al.
Analytics (2024) Vol. 3, Iss. 3, pp. 297-317
Open Access | Times Cited: 1
Hikmat Al-Quhfa, Ali Mothana, Abdussalam Aljbri, et al.
Analytics (2024) Vol. 3, Iss. 3, pp. 297-317
Open Access | Times Cited: 1
How does bias enter the employment interview? Identifying the riskiest applicant characteristics, interviewer characteristics, and sources of potentially biasing information
Timothy G. Wingate, Sabah Rasheed, Stephen D. Risavy, et al.
International Journal of Selection and Assessment (2024) Vol. 32, Iss. 3, pp. 399-420
Open Access
Timothy G. Wingate, Sabah Rasheed, Stephen D. Risavy, et al.
International Journal of Selection and Assessment (2024) Vol. 32, Iss. 3, pp. 399-420
Open Access
Artificial Intelligence, Machine Learning, and Big Data: Improvements to the Science of People at Work and Applications to Practice
Sang Eun Woo, Louis Tay, Frederick L. Oswald
(2024)
Open Access
Sang Eun Woo, Louis Tay, Frederick L. Oswald
(2024)
Open Access
Advancing Organizational Science Through Synthetic Data: A Path to Enhanced Data Sharing and Collaboration
Pengda Wang, Andrew C. Loignon, Sirish Shrestha, et al.
Journal of Business and Psychology (2024)
Closed Access
Pengda Wang, Andrew C. Loignon, Sirish Shrestha, et al.
Journal of Business and Psychology (2024)
Closed Access
Ein eignungsdiagnostischer Blick auf Future Skills
Anke Terörde-Wilde, Laura Lüneborg
Springer eBooks (2024), pp. 31-59
Closed Access
Anke Terörde-Wilde, Laura Lüneborg
Springer eBooks (2024), pp. 31-59
Closed Access
