Megan W. Gerhardt

23 papers receiving 2.4k citations

Hit Papers

Personality and leadership: A qualitative and quantitativ...2002202620102018200250010001.5k

Peers

Megan W. Gerhardt
Comparison fields: 5 of 116
  • Organizational Behavior and Human Resource Management 1.1k
  • Social Psychology 1.0k
  • Clinical Psychology 656
  • Sociology and Political Science 482
  • Management of Technology and Innovation 428
Replace Hannes Leroy with:
Hannes Leroy Netherlands
Jürgen Wegge Germany
Rebecca J. Reichard United States
Donald E. Gibson United States
Karoline Strauss France
Andreas W. Richter United Kingdom
Jeffery D. Houghton United States
Doris Fay Germany
António Caetano Portugal
Christopher P. Neck United States
Megan W. Gerhardt relative to Hannes Leroy Netherlands Hannes Leroy's profile →
Citations per field
00.5×1.7×
Hannes Leroy · 1×
Citations per year

Countries citing papers authored by Megan W. Gerhardt

Since Specialization
Citations

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

Fields of papers citing papers by Megan W. Gerhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan W. Gerhardt. 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 Megan W. Gerhardt. The network helps show where Megan W. Gerhardt may publish in the future.

Co-authorship network of co-authors of Megan W. Gerhardt

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 3
4 2
5 3
6 2
7 23
8 1
9 3
10
Understanding the Nomological Net for Gender Bias
1
11 8
12 23
13 346
14 31
15 20
16 49
17 4
18
Personality and leadership: A qualitative and quantitative review.breakdown →
1847
19 59
20 206

About Megan W. Gerhardt

Megan W. Gerhardt is a scholar working on Applied Psychology, Organizational Behavior and Human Resource Management and Management of Technology and Innovation, having authored 23 papers that have together received 2.7k indexed citations. Recurring topics across this work include Management and Organizational Studies (4 papers), Job Satisfaction and Organizational Behavior (4 papers) and Personality Traits and Psychology (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (1.1k citations), Management of Technology and Innovation (428 citations) and Business and International Management (118 citations). Megan W. Gerhardt has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Remus Ilieș, Timothy A. Judge, Joyce E. Bono, Jill Kickul, Saulo Dubard Barbosa, Kenneth G. Brown, Joseph C. Rode, Suzanne J. Peterson, Bryan Ashenbaum and W. Rocky Newman. Their work appears in journals such as Journal of Applied Psychology, Personality and Individual Differences and Personnel Psychology.

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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