Jay J. Caughron

614 total citations
9 papers, 389 citations indexed

About

Jay J. Caughron is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jay J. Caughron has authored 9 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organizational Behavior and Human Resource Management, 3 papers in Social Psychology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Jay J. Caughron's work include Creativity in Education and Neuroscience (3 papers), Job Satisfaction and Organizational Behavior (3 papers) and Ethics in Business and Education (2 papers). Jay J. Caughron is often cited by papers focused on Creativity in Education and Neuroscience (3 papers), Job Satisfaction and Organizational Behavior (3 papers) and Ethics in Business and Education (2 papers). Jay J. Caughron collaborates with scholars based in United States and China. Jay J. Caughron's co-authors include Michael D. Mumford, Tamara L. Friedrich, Cristina L. Byrne, Alison L. Antes, Cheryl K. Stenmark, Xiaoqian Wang, Chase E. Thiel, Xiang Yao, Shuhong Wang and Yimin He and has published in prestigious journals such as The Leadership Quarterly, Journal of Applied Social Psychology and Creativity Research Journal.

In The Last Decade

Jay J. Caughron

9 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay J. Caughron United States	8	177	108	78	68	63	9	389
Cristina L. Byrne United States	8	178 1.0×	113 1.0×	100 1.3×	139 2.0×	93 1.5×	14	479
Changqing He China	11	248 1.4×	111 1.0×	52 0.7×	83 1.2×	118 1.9×	21	492
Victoria L. Pace United States	6	219 1.2×	152 1.4×	83 1.1×	147 2.2×	92 1.5×	10	508
Merlijn Venus Netherlands	7	336 1.9×	176 1.6×	87 1.1×	64 0.9×	132 2.1×	11	516
Éric Brunelle Canada	12	150 0.8×	129 1.2×	45 0.6×	33 0.5×	135 2.1×	29	452
Hsueh-Liang Fan Taiwan	6	176 1.0×	113 1.0×	76 1.0×	133 2.0×	41 0.7×	11	394
Jane George‐Falvy United States	7	129 0.7×	117 1.1×	30 0.4×	39 0.6×	65 1.0×	9	344
Sheng‐Tsung Hou Taiwan	6	148 0.8×	75 0.7×	51 0.7×	92 1.4×	50 0.8×	20	322
Todd C. Darnold United States	9	291 1.6×	142 1.3×	50 0.6×	33 0.5×	145 2.3×	17	498
Oana C. Fodor Romania	11	117 0.7×	174 1.6×	45 0.6×	33 0.5×	84 1.3×	36	377

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-authorship network of co-authors of Jay J. Caughron

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

All Works

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9 of 9 papers shown

He, Yimin, Xiang Yao, Shuhong Wang, & Jay J. Caughron. (2016). Linking Failure Feedback to Individual Creativity: The Moderation Role of Goal Orientation. Creativity Research Journal. 28(1). 52–59. 17 indexed citations

Caughron, Jay J., et al.. (2013). Competition and sensemaking in ethical situations. Journal of Applied Social Psychology. 43(7). 1491–1507. 13 indexed citations

Caughron, Jay J., Alison L. Antes, Cheryl K. Stenmark, et al.. (2011). Sensemaking Strategies for Ethical Decision Making. Ethics & Behavior. 21(5). 351–366. 34 indexed citations

Caughron, Jay J. & Michael D. Mumford. (2011). Embedded leadership: How do a leader's superiors impact middle-management performance?. The Leadership Quarterly. 23(3). 342–353. 17 indexed citations

Caughron, Jay J., et al.. (2009). Social Innovation : Thinking about Changing the System. The International Journal of Creativity and Problem Solving. 19(1). 7–32. 7 indexed citations

Mumford, Michael D., Alison L. Antes, Jay J. Caughron, & Tamara L. Friedrich. (2008). Charismatic, ideological, and pragmatic leadership: Multi-level influences on emergence and performance. The Leadership Quarterly. 19(2). 144–160. 100 indexed citations

Caughron, Jay J. & Michael D. Mumford. (2008). Project Planning: The Effects of Using Formal Planning Techniques on Creative Problem‐Solving. Creativity and Innovation Management. 17(3). 204–215. 23 indexed citations

Mumford, Michael D. & Jay J. Caughron. (2007). Neurology and Creative Thought: Some Thoughts About Working Memory, the Cerebellum, and Creativity. Creativity Research Journal. 19(1). 49–54. 6 indexed citations

Mumford, Michael D., Tamara L. Friedrich, Jay J. Caughron, & Cristina L. Byrne. (2007). Leader cognition in real-world settings: How do leaders think about crises?. The Leadership Quarterly. 18(6). 515–543. 172 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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