Sang Eun Woo

4.3k total citations · 3 hit papers
58 papers, 2.6k citations indexed

About

Sang Eun Woo is a scholar working on Social Psychology, Organizational Behavior and Human Resource Management and Clinical Psychology. According to data from OpenAlex, Sang Eun Woo has authored 58 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Social Psychology, 17 papers in Organizational Behavior and Human Resource Management and 13 papers in Clinical Psychology. Recurrent topics in Sang Eun Woo's work include Job Satisfaction and Organizational Behavior (14 papers), Personality Traits and Psychology (13 papers) and Mental Health Research Topics (8 papers). Sang Eun Woo is often cited by papers focused on Job Satisfaction and Organizational Behavior (14 papers), Personality Traits and Psychology (13 papers) and Mental Health Research Topics (8 papers). Sang Eun Woo collaborates with scholars based in United States, South Korea and Singapore. Sang Eun Woo's co-authors include Louis Tay, Caitlin M. Porter, Scott Parrigon, Andrew T. Jebb, Jiyoung Park, Louis Hickman, David G. Allen, Rachel Saef, Melissa G. Keith and Anna Carmella Ocampo and has published in prestigious journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and Journal of Applied Psychology.

In The Last Decade

Sang Eun Woo

58 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice

2023 205 citations Sang Eun Woo et al. profile →
Who Likes Artificial Intelligence? Personality Predictors of Attitudes toward Artificial Intelligence

2022 104 citations Sang Eun Woo et al. profile →
Attitudes towards artificial intelligence at work: Scale development and validation

2024 38 citations Sang Eun Woo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sang Eun Woo United States	30	622	620	618	398	377	58	2.6k
Tara S. Behrend United States	24	871 1.4×	689 1.1×	1.1k 1.7×	415 1.0×	244 0.6×	68	3.4k
Richard N. Landers United States	26	645 1.0×	786 1.3×	1.3k 2.0×	391 1.0×	275 0.7×	64	3.9k
Rebecca S. Lau Hong Kong	11	892 1.4×	788 1.3×	945 1.5×	468 1.2×	265 0.7×	12	3.3k
Steven Andrew Culpepper United States	23	519 0.8×	439 0.7×	469 0.8×	227 0.6×	335 0.9×	67	2.6k
Tom O’Neill Canada	29	652 1.0×	1.4k 2.3×	938 1.5×	397 1.0×	172 0.5×	149	3.2k
Silvia Bonaccio Canada	20	441 0.7×	476 0.8×	506 0.8×	229 0.6×	217 0.6×	50	2.0k
Erik Dane United States	18	1.1k 1.8×	767 1.2×	511 0.8×	827 2.1×	540 1.4×	30	3.5k
John J. Donovan United States	17	804 1.3×	949 1.5×	468 0.8×	859 2.2×	426 1.1×	38	2.7k
S. Bartholomew Craig United States	12	939 1.5×	982 1.6×	992 1.6×	739 1.9×	424 1.1×	23	3.4k
William K. Balzer United States	24	718 1.2×	662 1.1×	557 0.9×	205 0.5×	190 0.5×	51	2.8k

Countries citing papers authored by Sang Eun Woo

Since Specialization

Citations

This map shows the geographic impact of Sang Eun Woo'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 Sang Eun Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang Eun Woo more than expected).

Fields of papers citing papers by Sang Eun Woo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Eun Woo. 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 Sang Eun Woo. The network helps show where Sang Eun Woo may publish in the future.

Co-authorship network of co-authors of Sang Eun Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Eun Woo. A scholar is included among the top collaborators of Sang Eun Woo 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 Sang Eun Woo. Sang Eun Woo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hickman, Louis, Louis Tay, & Sang Eun Woo. (2024). Are automated video interviews smart enough? Behavioral modes, reliability, validity, and bias of machine learning cognitive ability assessments.. Journal of Applied Psychology. 110(3). 314–335. 5 indexed citations

Porter, Caitlin M., et al.. (2023). Why do people network? Professional networking motives and their implications for networking behaviors and career success. Journal of Vocational Behavior. 142. 103856–103856. 8 indexed citations

Woods, Stephen A., Bart Wille, Sang Eun Woo, et al.. (2023). Personality at Work. Ghent University Academic Bibliography (Ghent University). 4(1). 2 indexed citations

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

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

Jesiek, Brent, Qin Zhu, Julia Thompson, Andrea Mazzurco, & Sang Eun Woo. (2020). Global Engineering Competencies and Cases. Papers on Engineering Education Repository (American Society for Engineering Education). 21.28.1–21.28.13. 5 indexed citations

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

Porter, Caitlin M., Sang Eun Woo, David G. Allen, & Melissa G. Keith. (2018). How do instrumental and expressive network positions relate to turnover? A meta-analytic investigation.. Journal of Applied Psychology. 104(4). 511–536. 45 indexed citations

Parrigon, Scott, Sang Eun Woo, Louis Tay, & Tong Wang. (2016). CAPTION-ing the situation: A lexically-derived taxonomy of psychological situation characteristics.. Journal of Personality and Social Psychology. 112(4). 642–681. 120 indexed citations

10.

Porter, Caitlin M., Scott Parrigon, Sang Eun Woo, Rachel Saef, & Louis Tay. (2016). Cultural and Intellectual Openness Differentially Relate to Social Judgments of Potential Work Partners. Journal of Personality. 85(5). 632–642. 9 indexed citations

11.

Jebb, Andrew T., Scott Parrigon, & Sang Eun Woo. (2016). Exploratory data analysis as a foundation of inductive research. Human Resource Management Review. 27(2). 265–276. 151 indexed citations

12.

Woo, Sang Eun, Jing Jin, & James M. LeBreton. (2015). Specificity Matters: Criterion-Related Validity of Contextualized and Facet Measures of Conscientiousness in Predicting College Student Performance. Journal of Personality Assessment. 97(3). 301–309. 18 indexed citations

13.

Zimmerman, Ryan D., Brian W. Swider, Sang Eun Woo, & David G. Allen. (2015). Who withdraws? Psychological individual differences and employee withdrawal behaviors.. Journal of Applied Psychology. 101(4). 498–519. 71 indexed citations

14.

Woo, Sang Eun, et al.. (2013). Validity of Six Openness Facets in Predicting Work Behaviors: A Meta-Analysis. Journal of Personality Assessment. 96(1). 76–86. 38 indexed citations

15.

Woo, Sang Eun, et al.. (2013). Openness to Experience: Its Lower Level Structure, Measurement, and Cross-Cultural Equivalence. Journal of Personality Assessment. 96(1). 29–45. 124 indexed citations

16.

Woo, Sang Eun & David G. Allen. (2013). Toward an Inductive Theory of Stayers and Seekers in the Organization. Journal of Business and Psychology. 29(4). 683–703. 40 indexed citations

17.

Proctor, Robert W., Shimon Y. Nof, Yuehwern Yih, et al.. (2011). Understanding and Improving Cross-Cultural Decision Making in Design and Use of Digital Media: A Research Agenda. International Journal of Human-Computer Interaction. 27(2). 151–190. 10 indexed citations

18.

Mattern, Krista D., et al.. (2010). Use of Student-Institution Fit in College Admissions: Do Applicants Really Know What Is Good for Them?.. College and university. 85(4). 18–26. 3 indexed citations

19.

Woo, Sang Eun, Carra S. Sims, Deborah E. Rupp, & Alyssa Mitchell Gibbons. (2008). DEVELOPMENT ENGAGEMENT WITHIN AND FOLLOWING DEVELOPMENTAL ASSESSMENT CENTERS: CONSIDERING FEEDBACK FAVORABILITY AND SELF–ASSESSOR AGREEMENT. Personnel Psychology. 61(4). 727–759. 25 indexed citations

20.

Rupp, Deborah E., Alyssa Mitchell Gibbons, Lori Anderson Snyder, et al.. (2006). An Initial Validation of Developmental Assessment Centers as Accurate Assessments and Effective Training Interventions.. The Psychologist-Manager Journal. 9(2). 171–200. 19 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.

Explore authors with similar magnitude of impact