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OpenAlex Citation Counts

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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:

Automated video interview personality assessments: Reliability, validity, and generalizability investigations.
Louis Hickman, Nigel Bosch, Vincent Ng, et al.
Journal of Applied Psychology (2021) Vol. 107, Iss. 8, pp. 1323-1351
Open Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Trust in Artificial Intelligence: Comparing Trust Processes Between Human and Automated Trustees in Light of Unfair Bias
Markus Langer, Cornelius J. König, Caroline Back, et al.
Journal of Business and Psychology (2022) Vol. 38, Iss. 3, pp. 493-508
Open Access | Times Cited: 61
Introducing a multi-stakeholder perspective on opacity, transparency and strategies to reduce opacity in algorithm-based human resource management
Markus Langer, Cornelius J. König
Human Resource Management Review (2021) Vol. 33, Iss. 1, pp. 100881-100881
Closed Access | Times Cited: 59
A Conceptual Framework for Investigating and Mitigating Machine-Learning Measurement Bias (MLMB) in Psychological Assessment
Louis Tay, Sang Eun Woo, Louis Hickman, et al.
Advances in Methods and Practices in Psychological Science (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 41
How well can an AI chatbot infer personality? Examining psychometric properties of machine-inferred personality scores.
Jinyan Fan, Tianjun Sun, Jiayi Liu, et al.
Journal of Applied Psychology (2023) Vol. 108, Iss. 8, pp. 1277-1299
Open Access | Times Cited: 33
Building trust in automatic video interviews using various AI interfaces: Tangibility, immediacy, and transparency
Hung-Yue Suen, Kuo-En Hung
Computers in Human Behavior (2023) Vol. 143, pp. 107713-107713
Closed Access | Times Cited: 28
Responsible artificial intelligence in human resources management: a review of the empirical literature
Antoine Bujold, Isabelle Roberge‐Maltais, Xavier Parent‐Rocheleau, et al.
AI and Ethics (2023) Vol. 4, Iss. 4, pp. 1185-1200
Open Access | Times Cited: 25
Personnel selection: A review of ways to maximize validity, diversity, and the applicant experience
Chad H. Van Iddekinge, Filip Lievens, Paul R. Sackett
Personnel Psychology (2023) Vol. 76, Iss. 2, pp. 651-686
Closed Access | Times Cited: 23
Beyond traditional interviews: Psychometric analysis of asynchronous video interviews for personality and interview performance evaluation using machine learning
Antonis Koutsoumpis, Sina Ghassemi, Janneke K. Oostrom, et al.
Computers in Human Behavior (2024) Vol. 154, pp. 108128-108128
Open Access | Times Cited: 15
The kernel of truth in text-based personality assessment: A meta-analysis of the relations between the Big Five and the Linguistic Inquiry and Word Count (LIWC).
Antonis Koutsoumpis, Janneke K. Oostrom, Djurre Holtrop, et al.
Psychological Bulletin (2022) Vol. 148, Iss. 11-12, pp. 843-868
Open Access | Times Cited: 32
How asynchronous video interviews are used in practice: A study of an Australian‐based AVI vendor
Patrick D. Dunlop, Djurre Holtrop, Serena Wee
International Journal of Selection and Assessment (2022) Vol. 30, Iss. 3, pp. 448-455
Open Access | Times Cited: 29
Reducing subgroup differences in personnel selection through the application of machine learning
Nan Zhang, Mo Wang, Heng Xu, et al.
Personnel Psychology (2023) Vol. 76, Iss. 4, pp. 1125-1159
Open Access | Times Cited: 19
Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors
Paul R. Sackett, Charlene Zhang, Christopher M. Berry, et al.
Industrial and Organizational Psychology (2023) Vol. 16, Iss. 3, pp. 283-300
Open Access | Times Cited: 17
An Open-Source Benchmark of Deep Learning Models for Audio-Visual Apparent and Self-Reported Personality Recognition
Rongfan Liao, Siyang Song, Hatice Güneş
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 3, pp. 1590-1607
Open Access | Times Cited: 8
Augmenting Human Decision-Making in K-12 Education: The Role of Artificial Intelligence in Assisting the Recruitment and Retention of Teachers of Color for Enhanced Diversity and Inclusivity
Soheila Sadeghi, Chunling Niu
Leadership and Policy in Schools (2024), pp. 1-21
Closed Access | Times Cited: 7
Can Large Language Models Assess Personality From Asynchronous Video Interviews? A Comprehensive Evaluation of Validity, Reliability, Fairness, and Rating Patterns
Tianyi Zhang, Antonis Koutsoumpis, Janneke K. Oostrom, et al.
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 3, pp. 1769-1785
Closed Access | Times Cited: 6
Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews
Brandon M. Booth, Louis Hickman, Shree Krishna Subburaj, et al.
(2021)
Open Access | Times Cited: 40
Should I Trust the Artificial Intelligence to Recruit? Recruiters’ Perceptions and Behavior When Faced With Algorithm-Based Recommendation Systems During Resume Screening
Alain Lacroux, Christelle Martin Lacroux
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 28
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
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: 16
Machine learning in recruiting: predicting personality from CVs and short text responses
Eric Grunenberg, Heinrich Peters, Matt James Francis, et al.
Frontiers in Social Psychology (2024) Vol. 1
Open Access | Times Cited: 5
Spare me the details: How the type of information about automated interviews influences applicant reactions
Markus Langer, Kevin Baum, Cornelius J. König, et al.
International Journal of Selection and Assessment (2021) Vol. 29, Iss. 2, pp. 154-169
Open Access | Times Cited: 32
Psychological Measurement in the Information Age: Machine-Learned Computational Models
Sidney K. D’Mello, Louis Tay, Rosy Southwell
Current Directions in Psychological Science (2022) Vol. 31, Iss. 1, pp. 76-87
Open Access | Times Cited: 21
Is more always better? How preparation time and re-recording opportunities impact fairness, anxiety, impression management, and performance in asynchronous video interviews
Nicolas Roulin, Odelia Wong, Markus Langer, et al.
European Journal of Work and Organizational Psychology (2022) Vol. 32, Iss. 3, pp. 333-345
Closed Access | Times Cited: 19
Better explaining the benefits why AI? Analyzing the impact of explaining the benefits of AI‐supported selection on applicant responses
Alina Köchling, Marius Claus Wehner
International Journal of Selection and Assessment (2022) Vol. 31, Iss. 1, pp. 45-62
Open Access | Times Cited: 19
Automatic scoring of speeded interpersonal assessment center exercises via machine learning: Initial psychometric evidence and practical guidelines
Louis Hickman, Christoph N. Herde, Filip Lievens, et al.
International Journal of Selection and Assessment (2023) Vol. 31, Iss. 2, pp. 225-239
Open Access | Times Cited: 13
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