Jay J. Caughron

624 citations
9 papers · 396 · h-index 8

Impact in

Papers in

Jay J. Caughron

9 papers receiving 359 citations

Peers

Jay J. Caughron
Comparison fields: 5 of 68
  • Organizational Behavior and Human Resource Management 179
  • Experimental and Cognitive Psychology 70
  • Information Systems and Management 39
  • Social Psychology 109
  • Strategy and Management 76
Replace Cristina L. Byrne with:
Cristina L. Byrne United States
Andrew Marty Australia
Eric Teng United States
Victoria L. Pace United States
Janelle A. Gilbert United States
Celile Itır Göğüş Türkiye
Antonio L. García‐Izquierdo Spain
Jane George‐Falvy United States
Rudolph J. Sanchez United States
Shawn T. McClean United States
Jay J. Caughron relative to Cristina L. Byrne United States Cristina L. Byrne's profile →
Citations per field
00.5×1.5×
Cristina L. Byrne · 1×
Citations per year

Countries citing papers authored by Jay J. Caughron

Since Specialization
Citations

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

Fields of papers citing papers by Jay J. Caughron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Jay J. Caughron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay J. Caughron Line = papers co-authored together Jay J. Caughron links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007176
2 2008100
3 201134
4 200823
5 201619
6 201117
7 201313
8
Social Innovation : Thinking about Changing the System
20098
9 20076

About Jay J. Caughron

Jay J. Caughron is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology, Experimental and Cognitive Psychology, Information Systems and Management and Cognitive Neuroscience, having authored 9 papers that have together received 396 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (3 papers), Creativity in Education and Neuroscience (3 papers), Team Dynamics and Performance (2 papers), Management and Organizational Studies (2 papers), Ethics in Business and Education (2 papers), Management Theory and Practice (2 papers), Complex Systems and Decision Making (2 papers) and Organizational Leadership and Management Strategies (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (179 citations), Experimental and Cognitive Psychology (70 citations), Information Systems and Management (39 citations), Social Psychology (109 citations) and Strategy and Management (76 citations). Jay J. Caughron has collaborated with scholars based in United States and China. Frequent co-authors include Michael D. Mumford, Tamara L. Friedrich, Cristina L. Byrne, Alison L. Antes, Cheryl K. Stenmark, Xiaoqian Wang, Chase E. Thiel, Yimin He, Xiang Yao and Shuhong Wang. Their work appears in journals such as The Leadership Quarterly, Creativity Research Journal, Journal of Applied Social Psychology, Creativity and Innovation Management and Ethics & Behavior.

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.

Explore authors with similar magnitude of impact