Louis Hickman

1.3k total citations · 1 hit paper
40 papers, 744 citations indexed

About

Louis Hickman is a scholar working on Social Psychology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Louis Hickman has authored 40 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Social Psychology, 9 papers in Artificial Intelligence and 7 papers in Sociology and Political Science. Recurrent topics in Louis Hickman's work include Personality Traits and Psychology (5 papers), Topic Modeling (4 papers) and Ethics and Social Impacts of AI (4 papers). Louis Hickman is often cited by papers focused on Personality Traits and Psychology (5 papers), Topic Modeling (4 papers) and Ethics and Social Impacts of AI (4 papers). Louis Hickman collaborates with scholars based in United States, Australia and Netherlands. Louis Hickman's co-authors include Louis Tay, Sang Eun Woo, Mesut Akdere, Padmini Srinivasan, Stuti Thapa, Mengyang Cao, Rachel Saef, Vincent Ng, Nigel Bosch and Sidney K. D’Mello and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Psychology and Science Advances.

In The Last Decade

Louis Hickman

35 papers receiving 716 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations

2020 201 citations Louis Hickman, Stuti Thapa et al. Organizational Research Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Louis Hickman United States	15	189	154	153	122	87	40	744
Ad Kleingeld Netherlands	12	92 0.5×	202 1.3×	70 0.5×	179 1.5×	48 0.6×	30	857
Paul Formosa Australia	16	186 1.0×	72 0.5×	261 1.7×	88 0.7×	56 0.6×	67	951
Gábor Kismihók Netherlands	13	218 1.2×	86 0.6×	105 0.7×	61 0.5×	50 0.6×	35	722
Hung-Yue Suen Taiwan	10	71 0.4×	198 1.3×	161 1.1×	65 0.5×	72 0.8×	22	515
Triparna de Vreede United States	12	205 1.1×	43 0.3×	197 1.3×	196 1.6×	20 0.2×	35	820
Marilyn Giroux New Zealand	13	342 1.8×	115 0.7×	512 3.3×	168 1.4×	24 0.3×	23	1.0k
Michelle Carter United States	12	255 1.3×	154 1.0×	541 3.5×	212 1.7×	26 0.3×	55	1.4k
Anuragini Shirish France	10	129 0.7×	207 1.3×	248 1.6×	402 3.3×	107 1.2×	30	834
Shan Xu China	12	98 0.5×	395 2.6×	143 0.9×	152 1.2×	39 0.4×	29	779
Lena Waizenegger New Zealand	9	100 0.5×	125 0.8×	272 1.8×	212 1.7×	46 0.5×	25	705

Countries citing papers authored by Louis Hickman

Since Specialization

Citations

This map shows the geographic impact of Louis Hickman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Louis Hickman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louis Hickman more than expected).

Fields of papers citing papers by Louis Hickman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Louis Hickman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Louis Hickman. The network helps show where Louis Hickman may publish in the future.

Co-authorship network of co-authors of Louis Hickman

This figure shows the co-authorship network connecting the top 25 collaborators of Louis Hickman. A scholar is included among the top collaborators of Louis Hickman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Louis Hickman. Louis Hickman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hickman, Louis, et al.. (2025). Can Interviewees Fake Out AI? Comparing the Susceptibility and Mechanisms of Faking Across Self‐Reports, Human Interview Ratings, and AI Interview Ratings. International Journal of Selection and Assessment. 33(2). 1 indexed citations

Chopik, William J., et al.. (2025). Lost in Translation: Matching on Love Languages Explains Little Variation in Relational Outcomes in Mid and Late Life. Innovation in Aging. 9(Supplement_2).

Hickman, Louis. (2025). All Your Base Are Belong to Us: The Urgent Reality of Unproctored Testing in the Age of LLMs. International Journal of Selection and Assessment. 33(2).

Dunlop, Patrick D., Louis Hickman, Djurre Holtrop, & Deborah M. Powell. (2025). Asynchronous Video Interviews in Recruitment and Selection: Lights, Camera, Action!. International Journal of Selection and Assessment. 33(2).

Speer, Andrew B., et al.. (2025). Addressing the diversity-validity dilemma in personnel selection: Unraveling the impact of multipenalty optimized regression in varied testing scenarios.. Journal of Applied Psychology. 110(10). 1371–1394.

Hickman, Louis, et al.. (2024). Validity evidence for personality scores from algorithms trained on low‐stakes verbal data and applied to high‐stakes interviews. International Journal of Selection and Assessment. 32(4). 544–560. 1 indexed citations

Hickman, Louis, et al.. (2024). The Effects of the Training Sample Size, Ground Truth Reliability, and NLP Method on Language-Based Automatic Interview Scores’ Psychometric Properties. Organizational Research Methods. 29(1). 40–72. 2 indexed citations

Hickman, Louis, et al.. (2024). Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.. Journal of Applied Psychology. 110(7). 979–1000. 4 indexed citations

Hickman, Louis, et al.. (2023). Automatic scoring of speeded interpersonal assessment center exercises via machine learning: Initial psychometric evidence and practical guidelines. International Journal of Selection and Assessment. 31(2). 225–239. 12 indexed citations

10.

Zhang, Nan, Mo Wang, Heng Xu, et al.. (2023). Reducing subgroup differences in personnel selection through the application of machine learning. Personnel Psychology. 76(4). 1125–1159. 18 indexed citations

11.

Tongeren, Daryl R. Van, Vincent Ng, Louis Hickman, & Louis Tay. (2022). Behavioral measures of humility: Part 1. Theoretical and methodological review. The Journal of Positive Psychology. 18(5). 711–721. 6 indexed citations

12.

Hickman, Louis, Rachel Saef, Vincent Ng, et al.. (2021). Developing and evaluating language‐based machine learning algorithms for inferring applicant personality in video interviews. Human Resource Management Journal. 34(2). 255–274. 34 indexed citations

13.

Hickman, Louis, Nigel Bosch, Vincent Ng, et al.. (2021). Automated video interview personality assessments: Reliability, validity, and generalizability investigations.. Journal of Applied Psychology. 107(8). 1323–1351. 88 indexed citations

14.

Hickman, Louis, Stuti Thapa, Louis Tay, Mengyang Cao, & Padmini Srinivasan. (2020). Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations. Organizational Research Methods. 25(1). 114–146. 201 indexed citations breakdown →

15.

Hickman, Louis, et al.. (2020). Studying Politeness across Cultures using English Twitter and Mandarin Weibo. Proceedings of the ACM on Human-Computer Interaction. 4(CSCW2). 1–15. 26 indexed citations

16.

Hickman, Louis, Louis Tay, & Sang Eun Woo. (2019). Validity Evidence for Off-the-Shelf Language-Based Personality Assessment Using Video Interviews: Convergent and Discriminant Relationships with Self and Observer Ratings. SHILAP Revista de lepidopterología. 5(3). 18 indexed citations

17.

Akdere, Mesut & Louis Hickman. (2018). My Kingdom for Time to Reflect: Developing Global Leaders Through Critical Self-Reflection. Academy of Management Proceedings. 2018(1). 15459–15459. 3 indexed citations

18.

Hickman, Louis & Mesut Akdere. (2017). Integrated Literature Review of Information Technology Leadership in Higher Education: Implications for Total Quality Management. Purdue e-Pubs (Purdue University System). 99–104. 1 indexed citations

19.

Hickman, Louis & Mesut Akdere. (2017). Effective leadership development in information technology: building transformational and emergent leaders. Industrial and Commercial Training. 50(1). 1–9. 29 indexed citations

20.

Hickman, Louis, Julia M. Taylor, & Victor Raskin. (2016). Direct Object Omission as a Sign of Conceptual Defaultness.. The Florida AI Research Society. 516–521. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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