M. Kim Saxton
- Marketing top 5%
- Organizational Behavior and Human Resource Management top 5%
- Sociology and Political Science top 10%
- Strategy and Management top 10%
- Education top 10%
- Co-authors
- Sandra H. FraddOkhee LeeJoanne BryantMichael AhearneAnnie MaddenNicky BathSuzanne RobinsonTodd Saxton
- Topics
- Consumer Behavior in Brand Consumption and Identification (6 papers)Consumer Market Behavior and Pricing (4 papers)Media Influence and Health (3 papers)
- Cited by
- MarketingOrganizational Behavior and Human Resource ManagementInformation Systems and Management
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
M. Kim Saxton
21 papers receiving 566 citations
Peers
Comparison fields: 5 of 77
- Marketing 210
- Organizational Behavior and Human Resource Management 166
- Sociology and Political Science 156
- Strategy and Management 104
- Education 96
Countries citing papers authored by M. Kim Saxton
This map shows the geographic impact of M. Kim Saxton'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 M. Kim Saxton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kim Saxton more than expected).
Fields of papers citing papers by M. Kim Saxton
This network shows the impact of papers produced by M. Kim Saxton. 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 M. Kim Saxton. The network helps show where M. Kim Saxton may publish in the future.
Co-authorship network of co-authors of M. Kim Saxton
This figure shows the co-authorship network connecting the top 25 collaborators of M. Kim Saxton. A scholar is included among the top collaborators of M. Kim Saxton 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 M. Kim Saxton. M. Kim Saxton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 17 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 18 | |
| 7 | Marketing Theory and Applications | 197 |
| 8 | 3 | |
| 9 | 38 | |
| 10 | 37 | |
| 11 | A Hierarchical Bayesian Procedure for Two-Mode Cluster Analysis | 1 |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 17 | |
| 15 | 8 | |
| 16 | 90 | |
| 17 | 24 | |
| 18 | When the Product is Complex, Does the Advertisement's Conclusion Matter? | 5 |
| 19 | 66 | |
| 20 | 12 |
About M. Kim Saxton
M. Kim Saxton is a scholar working on Tourism, Leisure and Hospitality Management, Marketing and Management of Technology and Innovation, having authored 21 papers that have together received 603 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (6 papers), Consumer Market Behavior and Pricing (4 papers) and Media Influence and Health (3 papers). The work is most often cited by research in Marketing (210 citations), Organizational Behavior and Human Resource Management (166 citations) and Information Systems and Management (71 citations). M. Kim Saxton has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Sandra H. Fradd, Okhee Lee, Joanne Bryant, Michael Ahearne, Annie Madden, Nicky Bath, Suzanne Robinson, Todd Saxton, Wayne S. DeSarbo and Elizabeth J. Wilson. Their work appears in journals such as Journal of Business Research, Journal of Business Venturing and Marketing Science.
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.