Gene Brown

2.6k citations
46 papers · 2.1k indexed · h-index 22

Impact in

Papers in

Gene Brown

44 papers receiving 1.8k citations

Peers

Gene Brown
Comparison fields: 5 of 90
  • Information Systems and Management 878
  • Organizational Behavior and Human Resource Management 793
  • Marketing 510
  • Strategy and Management 418
  • Safety Research 217
Replace Mohammed Y. A. Rawwas with:
Mohammed Y. A. Rawwas United States
John Fraedrich United States
William A. Weeks United States
W. Harvey Hegarty United States
R. Eric Reidenbach United States
Diana C. Robertson United States
Joseph G. P. Paolillo United States
Larry G. Gresham United States
Donald P. Robin United States
Thomas R. Wotruba United States
Gene Brown relative to Mohammed Y. A. Rawwas United States Mohammed Y. A. Rawwas's profile →
Citations per field
00.5×1.5×
Mohammed Y. A. Rawwas · 1×
Citations per year

Countries citing papers authored by Gene Brown

Since Specialization
Citations

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

Fields of papers citing papers by Gene Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene Brown. 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 Gene Brown. The network helps show where Gene Brown may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Gene Brown, 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 Gene Brown Line = papers co-authored together Gene Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20171
2 20172
3 201341
4 20111
5 20106
6 20104
7 20101
8 201026
9 200746
10 20029
11 19995
12 199913
13 199730
14 199686
15 19941
16 1994202
17 19946
18 19919
19 19913
20 19702

About Gene Brown

Gene Brown is a scholar working on Organizational Behavior and Human Resource Management, Information Systems and Management, Marketing, Management of Technology and Innovation and Cognitive Neuroscience, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (21 papers), Ethics in Business and Education (13 papers), Consumer Behavior in Brand Consumption and Identification (10 papers), Psychology of Moral and Emotional Judgment (8 papers), Management and Marketing Education (8 papers), Psychology of Social Influence (6 papers), Job Satisfaction and Organizational Behavior (4 papers) and Media, Gender, and Advertising (3 papers). The work is most often cited by research in Information Systems and Management (878 citations), Organizational Behavior and Human Resource Management (793 citations), Marketing (510 citations), Strategy and Management (418 citations) and Safety Research (217 citations). Gene Brown has collaborated with scholars based in United States, Australia and Kuwait. Frequent co-authors include Tim Barnett, Ken Bass, Robert E. Widing, Judy A. Siguaw, Subhra Chakrabarty, Penny M. Simpson, Richard Tansey, Michael R. Hyman, Frederic J. Hebert and Kenneth W. Green. Their work appears in journals such as Journal of Personal Selling and Sales Management, Journal of Business Ethics, Industrial Marketing Management, Journal of the Academy of Marketing Science and Journal of Business and Industrial Marketing.

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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