Clyde H. Coombs
- General Decision Sciences top 0.2%
- Economics and Econometrics top 1%
- Management Science and Operations Research top 0.5%
- Sociology and Political Science top 5%
- Social Psychology top 5%
- Co-authors
- George S. AvruninRobyn M. DawesDean G. PruittLolagene C. CoombsPaul J. LehnerGary H. McClellandJohn E. MilhollandRobert Thrall
- Topics
- Decision-Making and Behavioral Economics (18 papers)Economic and Environmental Valuation (8 papers)Bayesian Modeling and Causal Inference (5 papers)
- Cited by
- General Decision SciencesComputational MathematicsManagement Science and Operations Research
- Journals
- Journal of Personality and Social PsychologyJournal of the American Statistical AssociationPsychological Review
- Partner nations
- United States
In The Last Decade
Clyde H. Coombs
54 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- General Decision Sciences 858
- Economics and Econometrics 800
- Management Science and Operations Research 779
- Sociology and Political Science 511
- Social Psychology 424
Countries citing papers authored by Clyde H. Coombs
This map shows the geographic impact of Clyde H. Coombs'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 Clyde H. Coombs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clyde H. Coombs more than expected).
Fields of papers citing papers by Clyde H. Coombs
This network shows the impact of papers produced by Clyde H. Coombs. 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 Clyde H. Coombs. The network helps show where Clyde H. Coombs may publish in the future.
Co-authorship network of co-authors of Clyde H. Coombs
This figure shows the co-authorship network connecting the top 25 collaborators of Clyde H. Coombs. A scholar is included among the top collaborators of Clyde H. Coombs 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 Clyde H. Coombs. Clyde H. Coombs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 17 | |
| 3 | 37 | |
| 4 | 11 | |
| 5 | 45 | |
| 6 | 11 | |
| 7 | 24 | |
| 8 | 79 | |
| 9 | Mathematical psychology : an elementary introductionbreakdown → | 359 |
| 10 | 65 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 28 | |
| 14 | A theory of data.breakdown → | 1163 |
| 15 | 1 | |
| 16 | 84 | |
| 17 | 8 | |
| 18 | 60 | |
| 19 | 4 | |
| 20 | 70 |
About Clyde H. Coombs
Clyde H. Coombs is a scholar working on General Decision Sciences, General Psychology and Management Science and Operations Research, having authored 54 papers that have together received 3.6k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (18 papers), Economic and Environmental Valuation (8 papers) and Bayesian Modeling and Causal Inference (5 papers). The work is most often cited by research in General Decision Sciences (858 citations), Computational Mathematics (60 citations) and Management Science and Operations Research (779 citations). Clyde H. Coombs has collaborated with scholars based in United States. Frequent co-authors include George S. Avrunin, Robyn M. Dawes, Dean G. Pruitt, Lolagene C. Coombs, Paul J. Lehner, Gary H. McClelland, John E. Milholland, Robert Thrall, J. E. Keith Smith and David E. Meyer. Their work appears in journals such as Journal of Personality and Social Psychology, Journal of the American Statistical Association and Psychological Review.
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.