World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
46
Citations
26007
World Ranking
6269
National Ranking
3388

Gilad Chen publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Gilad Chen sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 344 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 34 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–705 publications: 5 scientists 706+ publications: 100 scientists
31 publications 706+

This scientist: 89 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 706 publications or more.

Gilad Chen D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Gilad Chen sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 559 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 87 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 79 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 46 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Overview

Gilad Chen is affiliated with the University of Maryland, College Park in the United States. Their research spans several fields within the social sciences, particularly focusing on business, management, and accounting. Within these broad categories, Chen's work emphasizes subfields such as sociology and political science, organizational behavior and human resource management, social psychology, strategy and management, and communication.

Their main topics of study include knowledge management and sharing, team dynamics and performance, social and intergroup psychology, job satisfaction and organizational behavior, innovation and knowledge management, cultural differences and values, and sports analytics and performance.

Chen has published in a variety of academic venues, with a frequent appearance in publications like the Academy of Management Proceedings, where they have contributed 13 papers. Other notable venues include the Journal of Applied Psychology, Behavioral Science & Policy, Academy of Management Journal, and Social and Personality Psychology Compass.

Significant recent papers by Chen and their collaborators include:

  • "Forming Entrepreneurial Teams: Mixing Business and Friendship to Create Transactive Memory Systems for Enhanced Success," 2021, Academy of Management Journal
  • "Power corrupts (or does it?): An examination of the boundary conditions of the antisocial effects of experienced power," 2020, Social and Personality Psychology Compass
  • "The Future of Motivation in and of Teams," 2023, Annual Review of Organizational Psychology and Organizational Behavior
  • "To be or not to be consistent? The role of friendship and group-targeted perspective in managers' allocation decisions," 2020, Journal of Organizational Behavior
  • "When new talent scores: The impact of human capital and the team socialization context on newcomer performance in professional sports teams," 2022, Journal of Applied Psychology

Chen frequently collaborates with several scholars, including Moran Lazar, Brent Goldfarb, Ella Miron-Spektor, Miriam Erez, and Rajshree Agarwal. Among these, Moran Lazar and Brent Goldfarb are the most frequent coauthors, with seven and six coauthored works respectively.

Best Publications

  • Validation of a New General Self-Efficacy Scale:

    Gilad Chen;Stanley M. Gully;Dov Eden

  • The two faces of transformational leadership: Empowerment and dependency.

    Ronit Kark;Boas Shamir;Gilad Chen

  • Individual Power Distance Orientation and Follower Reactions to Transformational Leaders: A Cross-Level, Cross-Cultural Examination

    Bradley L. Kirkman;Gilad Chen;Jiing-Lih Farh;Zhen Xiong Chen

  • A Multilevel Study of Leadership, Empowerment, and Performance in Teams

    Gilad Chen;Bradley L. Kirkman;Ruth Kanfer;Don Allen

  • The role of different levels of leadership in predicting self- and collective efficacy: evidence for discontinuity.

    Gilad Chen;Paul D. Bliese

  • THROUGH THE LOOKING GLASS OF A SOCIAL SYSTEM: CROSS‐LEVEL EFFECTS OF HIGH‐PERFORMANCE WORK SYSTEMS ON EMPLOYEES’ ATTITUDES

    Riki Takeuchi;Gilad Chen;David P. Lepak

  • Examination of relationships among trait-like individual differences, state-like individual differences, and learning performance.

    Gilad Chen;Stanley M. Gully;Jon-Andrew Whiteman;Robert N. Kilcullen

  • General self-efficacy and self-esteem: toward theoretical and empirical distinction between correlated self-evaluations

    Gilad Chen;Stanley Morris Gully;Dov Eden

  • The Power of Momentum: A New Model of Dynamic Relationships between Job Satisfaction Change and Turnover Intentions

    Gilad Chen;Robert E. Ployhart;Helena Cooper Thomas;Neil Anderson

  • Toward a Systems Theory of Motivated Behavior in Work Teams

    Gilad Chen;Ruth Kanfer

  • Testing Interaction Effects in LISREL: Examination and Illustration of Available Procedures

    Jose M. Cortina;Gilad Chen;William P. Dunlap

  • A MULTILEVEL INTEGRATION OF PERSONALITY, CLIMATE, SELF-REGULATION, AND PERFORMANCE

    Craig Wallace;Gilad Chen

  • Understanding and estimating the power to detect cross-level interaction effects in multilevel modeling.

    John E. Mathieu;Herman Aguinis;Steven A. Culpepper;Gilad Chen

  • Motivating and demotivating forces in teams: Cross-level influences of empowering leadership and relationship conflict.

    Gilad Chen;Payal Nangia Sharma;Suzanne K. Edinger;Debra L. Shapiro

  • The Impact Of Expectations On Newcomer Performance In Teams As Mediated By Work Characteristics, Social Exchanges, And Empowerment

    Gilad Chen;Richard J. Klimoski

  • When Does Cross-Cultural Motivation Enhance Expatriate Effectiveness? A Multilevel Investigation of the Moderating Roles of Subsidiary Support and Cultural Distance

    Gilad Chen;Bradley L. Kirkman;Kwanghyun Kim;Crystal I. C. Farh

  • The Etiology of the Multilevel Paradigm in Management Research

    John E. Mathieu;Gilad Chen

  • Teams as innovative systems: multilevel motivational antecedents of innovation in R&D teams.

    Gilad Chen;Jiing Lih Farh;Elizabeth M. Campbell-Bush;Zhiming Wu

  • Training Undergraduates to Work in Organizational Teams

    Gilad Chen;Lisa M. Donahue;Richard J. Klimoski

  • The Roles of Self-Efficacy and Task Complexity in the Relationships Among Cognitive Ability, Conscientiousness, and Work-Related Performance: A Meta-Analytic Examination

    Gilad Chen;Wendy J. Casper;Jose M. Cortina

  • Work motivation : past, present, and future

    Ruth Kanfer;Gilad Chen;Robert D. Pritchard

Frequent Co-Authors

John E. Mathieu
John E. Mathieu University of Connecticut
Ruth Kanfer
Ruth Kanfer Georgia Institute of Technology
Paul D. Bliese
Paul D. Bliese University of South Carolina
Jiing-Lih Farh
Jiing-Lih Farh China Europe International Business School
Stephen J. Zaccaro
Stephen J. Zaccaro George Mason University
Robert E. Ployhart
Robert E. Ployhart University of South Carolina
Miriam Erez
Miriam Erez Technion – Israel Institute of Technology
Richard J. Klimoski
Richard J. Klimoski George Mason University
Steve W. J. Kozlowski
Steve W. J. Kozlowski University of South Florida
Debra L. Shapiro
Debra L. Shapiro University of Maryland, College Park

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