Scott A. Goodman

907 citations
5 papers · 652 indexed · 1 hit paper · h-index 5
Topics
Job Satisfaction and Organizational Behavior (2 papers)Personality Traits and Psychology (2 papers)Social and Intergroup Psychology (1 paper)
Partner nations
United States

In The Last Decade

Scott A. Goodman

5 papers receiving 586 citations

Hit Papers

Person–Organization Fit and Contextual Performance: Do Sh...19992026200820171999100200300400500

Peers

Scott A. Goodman
Comparison fields: 5 of 72
  • Organizational Behavior and Human Resource Management 423
  • Social Psychology 238
  • Sociology and Political Science 135
  • Clinical Psychology 90
  • General Health Professions 82
Replace Jack K. Ito with:
Jack K. Ito Canada
Thomas C. Cross United States
Ana Maria Rossi United States
D. Scott Kiker United States
Mark Gavin United States
Bonnie L. McNeely United States
Louise Penner United States
Tsung‐Yu Wu Taiwan
Chris W. L. Chu United Kingdom
Russell P. Guay United States
Scott A. Goodman relative to Jack K. Ito Canada Jack K. Ito's profile →
Citations per field
00.5×1.5×
Jack K. Ito · 1×
Citations per year

Countries citing papers authored by Scott A. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott A. Goodman. 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 Scott A. Goodman. The network helps show where Scott A. Goodman may publish in the future.

Co-authorship network of co-authors of Scott A. Goodman

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 26
2 33
3 12
4
Person–Organization Fit and Contextual Performance: Do Shared Values Matterbreakdown →
576
5
Linking contextual performance to job performance and attitudinal variables.
5

About Scott A. Goodman

Scott A. Goodman is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Clinical Psychology, having authored 5 papers that have together received 652 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (2 papers), Personality Traits and Psychology (2 papers) and Social and Intergroup Psychology (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (423 citations), Social Psychology (238 citations) and Applied Psychology (35 citations). Scott A. Goodman has collaborated with scholars based in United States. Frequent co-authors include Daniel J. Svyantek, Jennifer P. Bott, Nicole M. Dudley, Lynn A. McFarland and Steven T. Hunt. Their work appears in journals such as Journal of Vocational Behavior, Journal of Personality Assessment and Journal of Business and 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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