Robert B. Davison

2.1k total citations · 2 hit papers
14 papers, 1.4k citations indexed

About

Robert B. Davison is a scholar working on Social Psychology, Strategy and Management and Cognitive Neuroscience. According to data from OpenAlex, Robert B. Davison has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Social Psychology, 3 papers in Strategy and Management and 3 papers in Cognitive Neuroscience. Recurrent topics in Robert B. Davison's work include Team Dynamics and Performance (6 papers), Business Strategy and Innovation (3 papers) and Neural and Behavioral Psychology Studies (3 papers). Robert B. Davison is often cited by papers focused on Team Dynamics and Performance (6 papers), Business Strategy and Innovation (3 papers) and Neural and Behavioral Psychology Studies (3 papers). Robert B. Davison collaborates with scholars based in United States, Netherlands and Australia. Robert B. Davison's co-authors include Gerry McNamara, Jerayr Haleblian, Mason A. Carpenter, Cynthia E. Devers, John R. Hollenbeck, Shawn Keshmiri, Michael S. Branicky, Omri Gillath, Ting Ai and Ryan Spaulding and has published in prestigious journals such as Academy of Management Journal, Journal of Applied Psychology and Journal of Management.

In The Last Decade

Robert B. Davison

13 papers receiving 1.4k 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.

Taking Stock of What We Know About Mergers and Acquisitions: A Review and Research Agenda

2009 677 citations Jerayr Haleblian, Cynthia E. Devers et al. Journal of Management profile →
Attachment and trust in artificial intelligence

2020 243 citations Omri Gillath, Ting Ai et al. Computers in Human Behavior profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert B. Davison United States	11	521	484	305	281	182	14	1.4k
James E. Hunton United States	24	444 0.9×	730 1.5×	113 0.4×	192 0.7×	134 0.7×	111	2.4k
Devaki Rau United States	13	764 1.5×	229 0.5×	187 0.6×	326 1.2×	122 0.7×	27	1.4k
Amir Pezeshkan United States	14	749 1.4×	130 0.3×	198 0.6×	433 1.5×	169 0.9×	22	1.7k
Haipeng Chen United States	21	298 0.6×	133 0.3×	216 0.7×	168 0.6×	281 1.5×	67	1.6k
Erin E. Makarius United States	11	302 0.6×	177 0.4×	97 0.3×	210 0.7×	80 0.4×	22	867
Robert S. Dooley United States	15	614 1.2×	141 0.3×	182 0.6×	502 1.8×	87 0.5×	17	1.3k
Κωνσταντίνος Κωστόπουλος Greece	14	814 1.6×	95 0.2×	221 0.7×	341 1.2×	186 1.0×	32	1.5k
Linda‐Eling Lee United States	6	485 0.9×	195 0.4×	135 0.4×	351 1.2×	240 1.3×	7	1.5k
Thomas A. Mahoney United States	20	319 0.6×	309 0.6×	122 0.4×	541 1.9×	173 1.0×	61	1.5k
Sheila Simsarian Webber United States	17	417 0.8×	180 0.4×	710 2.3×	867 3.1×	50 0.3×	30	2.1k

Countries citing papers authored by Robert B. Davison

Since Specialization

Citations

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

Fields of papers citing papers by Robert B. Davison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert B. Davison. 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 Robert B. Davison. The network helps show where Robert B. Davison may publish in the future.

Co-authorship network of co-authors of Robert B. Davison

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

All Works

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14 of 14 papers shown

Sleesman, Dustin J., John R. Hollenbeck, Robert B. Davison, & Brent A. Scott. (2022). Leader Intuition: Good or Bad for Multiteam System Performance? The Roles of Information Load and Introversion. Group & Organization Management. 49(4). 902–942. 6 indexed citations

Gillath, Omri, Ting Ai, Michael S. Branicky, et al.. (2020). Attachment and trust in artificial intelligence. Computers in Human Behavior. 115. 106607–106607. 243 indexed citations breakdown →

Karam, Elizabeth P., Jinyu Hu, Robert B. Davison, et al.. (2018). Illuminating the ‘Face’ of Justice: A Meta‐Analytic Examination of Leadership and Organizational Justice. Journal of Management Studies. 56(1). 134–171. 76 indexed citations

Rico, Ramón, Verlin B. Hinsz, Robert B. Davison, & Eduardo Salas. (2017). Structural influences upon coordination and performance in multiteam systems. Human Resource Management Review. 28(4). 332–346. 41 indexed citations

Dulebohn, James H., Robert B. Davison, Seungcheol Austin Lee, et al.. (2015). Gender differences in justice evaluations: Evidence from fMRI.. Journal of Applied Psychology. 101(2). 151–170. 48 indexed citations

Hollenbeck, John R., et al.. (2015). Managing Coordination in Multiteam Systems: Integrating Micro and Macro Perspectives. Academy of Management Journal. 59(5). 1823–1844. 56 indexed citations

Dulebohn, James H., et al.. (2013). Gender Differences in Organizational Justice Evaluations: Evidence from fMRI. Academy of Management Proceedings. 2013(1). 17299–17299.

Hollenbeck, John R., et al.. (2013). Intrapersonal Functional Diversity and Multiteam System Performance: A Moderated Dual-Pathway Model. Academy of Management Proceedings. 2013(1). 13692–13692. 10 indexed citations

Dimotakis, Nikolaos, Robert B. Davison, & John R. Hollenbeck. (2011). Team structure and regulatory focus: The impact of regulatory fit on team dynamic.. Journal of Applied Psychology. 97(2). 421–434. 48 indexed citations

10.

Davison, Robert B., John R. Hollenbeck, Christopher M. Barnes, Dustin J. Sleesman, & Daniel R. Ilgen. (2011). Coordinated action in multiteam systems.. Journal of Applied Psychology. 97(4). 808–824. 150 indexed citations

11.

Dulebohn, James H., Donald E. Conlon, Issidoros Sarinopoulos, Robert B. Davison, & Gerry McNamara. (2009). The biological bases of unfairness: Neuroimaging evidence for the distinctiveness of procedural and distributive justice. Organizational Behavior and Human Decision Processes. 110(2). 140–151. 52 indexed citations

12.

Haleblian, Jerayr, Cynthia E. Devers, Gerry McNamara, Mason A. Carpenter, & Robert B. Davison. (2009). Taking Stock of What We Know About Mergers and Acquisitions: A Review and Research Agenda. Journal of Management. 35(3). 469–502. 677 indexed citations breakdown →

13.

Haleblian, Jerayr, Cynthia E. Devers, Gerry McNamara, Mason A. Carpenter, & Robert B. Davison. (2008). Taking Stock of What We Know About Mergers and Acquisitions: A Review and Research Agenda. 13 indexed citations

14.

James, Gregory, et al.. (1994). English in computer science : a corpus-based lexical analysis. Medical Entomology and Zoology. 13 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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