J. Neil Bearden
- Management Science and Operations Research top 2%
- Management Information Systems top 2%
- Marketing top 5%
- General Decision Sciences top 2%
- Economics and Econometrics top 10%
- Co-authors
- Amnon RapoportRyan O. MurphyNelson C. LauKriti JainAllan FilipowiczFrancis de VéricourtSameer HasijaTerry Connolly
- Topics
- Auction Theory and Applications (9 papers)Decision-Making and Behavioral Economics (8 papers)Supply Chain and Inventory Management (5 papers)
- Cited by
- General Decision SciencesManagement Information SystemsManagement Science and Operations Research
- Journals
- Management ScienceJournal of Operations ManagementJournal of Experimental Psychology Learning Memory and Cognition
- Partner nations
- United StatesSingaporeHong Kong
In The Last Decade
J. Neil Bearden
22 papers receiving 594 citations
Peers
Comparison fields: 5 of 70
- Management Science and Operations Research 281
- Management Information Systems 232
- Marketing 155
- General Decision Sciences 147
- Economics and Econometrics 94
Countries citing papers authored by J. Neil Bearden
This map shows the geographic impact of J. Neil Bearden'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 J. Neil Bearden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Neil Bearden more than expected).
Fields of papers citing papers by J. Neil Bearden
This network shows the impact of papers produced by J. Neil Bearden. 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 J. Neil Bearden. The network helps show where J. Neil Bearden may publish in the future.
Co-authorship network of co-authors of J. Neil Bearden
This figure shows the co-authorship network connecting the top 25 collaborators of J. Neil Bearden. A scholar is included among the top collaborators of J. Neil Bearden 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 J. Neil Bearden. J. Neil Bearden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 55 | |
| 3 | 94 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 20 | |
| 7 | 54 | |
| 8 | 29 | |
| 9 | 32 | |
| 10 | 49 | |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 23 | |
| 14 | 33 | |
| 15 | 35 | |
| 16 | 14 | |
| 17 | An algorithm for fitting the contrast model | 1 |
| 18 | 0 | |
| 19 | 5 | |
| 20 | 42 |
About J. Neil Bearden
J. Neil Bearden is a scholar working on General Decision Sciences, Management Science and Operations Research and Management Information Systems, having authored 23 papers that have together received 619 indexed citations. Recurring topics across this work include Auction Theory and Applications (9 papers), Decision-Making and Behavioral Economics (8 papers) and Supply Chain and Inventory Management (5 papers). The work is most often cited by research in General Decision Sciences (147 citations), Management Information Systems (232 citations) and Management Science and Operations Research (281 citations). J. Neil Bearden has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include Amnon Rapoport, Ryan O. Murphy, Nelson C. Lau, Kriti Jain, Allan Filipowicz, Francis de Véricourt, Sameer Hasija, Terry Connolly, Thomas S. Wallsten and Ilia Tsetlin. Their work appears in journals such as Management Science, Journal of Operations Management and Journal of Experimental Psychology Learning Memory and Cognition.
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.