Michael J. Zickar

4.7k total citations
100 papers, 3.0k citations indexed

About

Michael J. Zickar is a scholar working on Organizational Behavior and Human Resource Management, Clinical Psychology and Management Science and Operations Research. According to data from OpenAlex, Michael J. Zickar has authored 100 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Organizational Behavior and Human Resource Management, 20 papers in Clinical Psychology and 19 papers in Management Science and Operations Research. Recurrent topics in Michael J. Zickar's work include Psychometric Methodologies and Testing (18 papers), Personality Traits and Psychology (17 papers) and Job Satisfaction and Organizational Behavior (12 papers). Michael J. Zickar is often cited by papers focused on Psychometric Methodologies and Testing (18 papers), Personality Traits and Psychology (17 papers) and Job Satisfaction and Organizational Behavior (12 papers). Michael J. Zickar collaborates with scholars based in United States, Switzerland and France. Michael J. Zickar's co-authors include Dev K. Dalal, Chet Robie, Scott Highhouse, Jerel E. Slaughter, Shahnaz Aziz, Mo Wang, Fritz Drasgow, Robert E. Gibby, David C. Mohr and Nathan T. Carter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Psychology and Optics Letters.

In The Last Decade

Michael J. Zickar

92 papers receiving 2.8k citations

Peers

Michael J. Zickar
Comparison fields: 5 of 170
  • Organizational Behavior and Human Resource Management 944
  • Social Psychology 782
  • Clinical Psychology 737
  • Sociology and Political Science 706
  • Experimental and Cognitive Psychology 366
Replace S. Bartholomew Craig with:
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Citations per field, relative to Michael J. Zickar
Michael J. Zickar · 1×
Citations per year, relative to Michael J. Zickar
Michael J. Zickar · 1×

Countries citing papers authored by Michael J. Zickar

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Zickar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Zickar. 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 Michael J. Zickar. The network helps show where Michael J. Zickar may publish in the future.

Co-authorship network of co-authors of Michael J. Zickar

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Zickar. A scholar is included among the top collaborators of Michael J. Zickar 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 Michael J. Zickar. Michael J. Zickar 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
# Work Indexed citations
1 0
2 2
3 1
4 1
5 9
6 2
7 27
8 5
9 7
10 6
11 15
12 59
13 30
14 15
15 146
16 12
17
Investigating self-presentation, lies, and bullshit: Understanding faking and its effects on selection decisions using theory, field research, and simulation.
14
18 46
19 6
20 8

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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