Wayne A. Baughman

1.3k total citations
24 papers, 801 citations indexed

About

Wayne A. Baughman is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Wayne A. Baughman has authored 24 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Experimental and Cognitive Psychology, 8 papers in Developmental and Educational Psychology and 4 papers in Social Psychology. Recurrent topics in Wayne A. Baughman's work include Creativity in Education and Neuroscience (14 papers), Education, Achievement, and Giftedness (6 papers) and Visual and Cognitive Learning Processes (4 papers). Wayne A. Baughman is often cited by papers focused on Creativity in Education and Neuroscience (14 papers), Education, Achievement, and Giftedness (6 papers) and Visual and Cognitive Learning Processes (4 papers). Wayne A. Baughman collaborates with scholars based in United States. Wayne A. Baughman's co-authors include Michael D. Mumford, David P. Costanza, K. Victoria Threlfall, Michelle Maher, Edwin A. Fleishman, Mary Shane Connelly, Michelle A. Marks, Jennifer A. Martin, Stephen J. Zaccaro and Roni Reiter‐Palmon and has published in prestigious journals such as Journal of Educational Psychology, The Leadership Quarterly and Creativity Research Journal.

In The Last Decade

Wayne A. Baughman

21 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne A. Baughman United States 13 542 199 192 150 133 24 801
K. Victoria Threlfall United States 10 329 0.6× 198 1.0× 119 0.6× 180 1.2× 80 0.6× 11 634
Lyle E. Leritz United States 6 842 1.6× 201 1.0× 201 1.0× 125 0.8× 257 1.9× 7 1.1k
Gerard J. Puccio United States 16 602 1.1× 197 1.0× 199 1.0× 104 0.7× 98 0.7× 30 869
Jody J. Illies United States 6 425 0.8× 197 1.0× 84 0.4× 301 2.0× 90 0.7× 8 762
Hein F. M. Lodewijkx Netherlands 17 268 0.5× 448 2.3× 133 0.7× 62 0.4× 111 0.8× 36 968
Geir Kaufmann Norway 15 420 0.8× 245 1.2× 50 0.3× 88 0.6× 218 1.6× 31 887
Martin Storme France 22 741 1.4× 338 1.7× 111 0.6× 111 0.7× 289 2.2× 60 1.2k
Weihua Niu United States 19 1.1k 2.0× 350 1.8× 144 0.8× 65 0.4× 263 2.0× 39 1.4k
Richard S. Mansfield United States 9 244 0.5× 167 0.8× 63 0.3× 85 0.6× 63 0.5× 18 567
Donald W. MacKinnon United States 10 938 1.7× 254 1.3× 145 0.8× 59 0.4× 274 2.1× 23 1.3k

Countries citing papers authored by Wayne A. Baughman

Since Specialization
Citations

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

Fields of papers citing papers by Wayne A. Baughman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne A. Baughman

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne A. Baughman. A scholar is included among the top collaborators of Wayne A. Baughman 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 Wayne A. Baughman. Wayne A. Baughman 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
1.
Waters, Shonna D., Wayne A. Baughman, & David W. Dorsey. (2016). Performance Management: Embracing Complexity, Evading Reductionism, and Moving to Outcome-Based Approaches. Industrial and Organizational Psychology. 9(2). 338–341. 2 indexed citations
2.
Baughman, Wayne A., David W. Dorsey, & David Zarefsky. (2011). Putting Evidence in Its Place: A Means Not an End. Industrial and Organizational Psychology. 4(1). 62–64. 3 indexed citations
3.
4.
Baughman, Wayne A., et al.. (2009). Executive Fit Is Negotiated, Not Selected. Industrial and Organizational Psychology. 2(2). 155–158. 3 indexed citations
5.
Baughman, Wayne A. & David W. Dorsey. (2009). Consulting psychology and the intelligence community: Toward a new support paradigm.. Consulting psychology journal. 61(1). 56–67. 5 indexed citations
6.
Mumford, Michael D., et al.. (2003). Picking the right material: Cognitive processing skills and their role in creative thought.. 58 indexed citations
7.
Fleishman, Edwin A., et al.. (2000). Development and evaluation of cognitive and metacognitive measures for predicting leadership potential. The Leadership Quarterly. 11(1). 135–153. 49 indexed citations
8.
Baughman, Wayne A.. (1997). The role of relational preferences in the development of knowledge and skills. 1 indexed citations
9.
Mumford, Michael D., et al.. (1997). Process-Based Measures of Creative Problem-Solving Skills: V. Overall Prediction. Creativity Research Journal. 10(1). 73–85. 60 indexed citations
10.
Mumford, Michael D., et al.. (1997). Process-Based Measures of Creative Problem-Solving Skills: IV. Category Combination. Creativity Research Journal. 10(1). 59–71. 76 indexed citations
11.
Mumford, Michael D., et al.. (1996). Process-Based Measures of Creative Problem-Solving Skills: III. Category Selection. Creativity Research Journal. 9(4). 395–406. 23 indexed citations
12.
Mumford, Michael D., et al.. (1996). Process-Based Measures of Creative Problem-Solving Skills: I. Problem Construction. Creativity Research Journal. 9(1). 63–76. 107 indexed citations
13.
Mumford, Michael D., David P. Costanza, Wayne A. Baughman, K. Victoria Threlfall, & et al. (1994). Influence of abilities on performance during practice: Effects of massed and distributed practice.. Journal of Educational Psychology. 86(1). 134–144.
14.
Mumford, Michael D., Mary Shane Connelly, Wayne A. Baughman, & Michelle A. Marks. (1994). Creativity and problem solving:Cognition, adaptability, and wisdom. Roeper Review. 16(4). 241–246. 35 indexed citations
15.
Mumford, Michael D., David P. Costanza, Wayne A. Baughman, K. Victoria Threlfall, & Edwin A. Fleishman. (1994). Influence of abilities on performance during practice: Effects of massed and distributed practice.. Journal of Educational Psychology. 86(1). 134–144. 28 indexed citations
16.
Mumford, Michael D., David P. Costanza, K. Victoria Threlfall, Wayne A. Baughman, & Roni Reiter‐Palmon. (1993). Personality variables and problem‐construction activities: An exploratory investigation. Creativity Research Journal. 6(4). 365–389. 30 indexed citations
17.
Mumford, Michael D., et al.. (1993). Personality Variables and Skill Acquisition: Performance While Practicing a Complex Task. Human Performance. 6(4). 345–381. 12 indexed citations
18.
Mumford, Michael D., et al.. (1993). Personality, Adaptability, and Performance: Performance on Well-Defined Problem Solving Tasks. Human Performance. 6(3). 241–285. 60 indexed citations
19.
Mumford, Michael D., et al.. (1993). Developing creative capacities:Implications of cognitive processing models∗. Roeper Review. 16(1). 16–21. 10 indexed citations
20.
Holt, Robert W., et al.. (1991). Behavioral Validation of a Hazardous Thought Pattern Instrument. Proceedings of the Human Factors Society Annual Meeting. 35(2). 77–81. 7 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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