Rick L. Wilson
- Accounting top 2%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Information Systems top 5%
- Management Information Systems top 5%
- Co-authors
- Ramesh ShardaBill C. HardgraveKent A. WalstromMarc J. SchniederjansKrishnamurty MuralidharRadhika SanthanamChristie M. FullerDavid Biros
- Topics
- Multi-Criteria Decision Making (4 papers)Imbalanced Data Classification Techniques (4 papers)Sports Analytics and Performance (4 papers)
- Journals
- Strategic Management JournalCommunications of the ACMInternational Journal of Production Research
- Partner nations
- United StatesBelgiumIndia
In The Last Decade
Rick L. Wilson
30 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Accounting 450
- Artificial Intelligence 431
- Management Science and Operations Research 332
- Information Systems 237
- Management Information Systems 194
Countries citing papers authored by Rick L. Wilson
This map shows the geographic impact of Rick L. Wilson'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 Rick L. Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rick L. Wilson more than expected).
Fields of papers citing papers by Rick L. Wilson
This network shows the impact of papers produced by Rick L. Wilson. 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 Rick L. Wilson. The network helps show where Rick L. Wilson may publish in the future.
Co-authorship network of co-authors of Rick L. Wilson
This figure shows the co-authorship network connecting the top 25 collaborators of Rick L. Wilson. A scholar is included among the top collaborators of Rick L. Wilson 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 Rick L. Wilson. Rick L. Wilson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | Panel: Attracting, Retaining and Placing IS Students in an Economic Downturn | 0 |
| 4 | 83 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 34 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 30 | |
| 14 | 27 | |
| 15 | 24 | |
| 16 | 40 | |
| 17 | 48 | |
| 18 | Bankruptcy prediction using neural networksbreakdown → | 530 |
| 19 | 9 | |
| 20 | 2 |
About Rick L. Wilson
Rick L. Wilson is a scholar working on Management Information Systems, Management Science and Operations Research and Computer Science Applications, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (4 papers), Imbalanced Data Classification Techniques (4 papers) and Sports Analytics and Performance (4 papers). The work is most often cited by research in Accounting (450 citations), Management Science and Operations Research (332 citations) and Management Information Systems (194 citations). Rick L. Wilson has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Ramesh Sharda, Bill C. Hardgrave, Kent A. Walstrom, Marc J. Schniederjans, Krishnamurty Muralidhar, Radhika Santhanam, Christie M. Fuller, David Biros, Susan Williams and Peter A. Rosen. Their work appears in journals such as Strategic Management Journal, Communications of the ACM and International Journal of Production Research.
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.