Dan T. Dunn

400 citations
11 papers · 301 · h-index 7

Impact in

    • Technology Adoption and User Behaviour
  • Marketing top 5%
    • Consumer Retail Behavior Studies
    • Service and Product Innovation
    • Consumer Behavior in Brand Consumption and Identification

Papers in

Dan T. Dunn

10 papers receiving 254 citations

Peers

Dan T. Dunn
Comparison fields: 5 of 54
  • Information Systems and Management 107
  • Marketing 127
  • Organizational Behavior and Human Resource Management 108
  • Strategy and Management 60
  • Sociology and Political Science 134
Replace Chyuan Perng with:
Chyuan Perng Taiwan
Shu-Hua Chien Taiwan
Kyesook Han South Korea
Ann Pearson United States
Assion Lawson‐Body United States
Patricia Seybold Germany
Mohit Yadav United States
Claire Gauzente France
Leslier Valenzuela Chile
Brian I. Spaid United States
Dan T. Dunn relative to Chyuan Perng Taiwan Chyuan Perng's profile →
Citations per field
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Chyuan Perng · 1×
Citations per year

Countries citing papers authored by Dan T. Dunn

Since Specialization
Citations

This map shows the geographic impact of Dan T. Dunn'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 Dan T. Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan T. Dunn more than expected).

Fields of papers citing papers by Dan T. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan T. Dunn. 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 Dan T. Dunn. The network helps show where Dan T. Dunn may publish in the future.

Co-authors

The 5 scholars most cited alongside Dan T. Dunn, 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 Dan T. Dunn Line = papers co-authored together Dan T. Dunn links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2008191
2 199132
3 199424
4 198112
5 197712
6 197911
7 19958
8 19904
9 19994
10 19922
11 20131

About Dan T. Dunn

Dan T. Dunn is a scholar working on Strategy and Management, Marketing, Management Information Systems, Management Science and Operations Research and Organizational Behavior and Human Resource Management, having authored 11 papers that have together received 301 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (2 papers), Securities Regulation and Market Practices (2 papers), Business Strategy and Innovation (2 papers), Outsourcing and Supply Chain Management (2 papers), Customer Service Quality and Loyalty (2 papers), Big Data and Business Intelligence (1 paper), Supply Chain and Inventory Management (1 paper) and Online and Blended Learning (1 paper). The work is most often cited by research in Information Systems and Management (107 citations), Marketing (127 citations), Organizational Behavior and Human Resource Management (108 citations), Strategy and Management (60 citations) and Sociology and Political Science (134 citations). Dan T. Dunn has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include D. S. Johnson, Fleura Bardhi, John H. Friar, Keith B. Murray and David S. White. Their work appears in journals such as Business Horizons, Journal of Personal Selling and Sales Management, Industrial Marketing Management, Journal of Business and Industrial Marketing and Psychology and 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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