Barry R. Cobb
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Management Information Systems top 5%
- Strategy and Management top 10%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Prakash P. ShenoyRafael RumíJohn M. CharnesLinda LiAntonio SalmerónAlan W. JohnsonAtin Basuchoudhary
- Topics
- Bayesian Modeling and Causal Inference (15 papers)Advanced Statistical Process Monitoring (7 papers)Supply Chain and Inventory Management (7 papers)
- Cited by
- Management Science and Operations ResearchManagement Information SystemsStatistics, Probability and Uncertainty
- Journals
- European Journal of Operational ResearchInternational Journal of Production EconomicsJournal of the Operational Research Society
- Partner nations
- United StatesSpain
In The Last Decade
Barry R. Cobb
42 papers receiving 652 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 296
- Management Science and Operations Research 246
- Management Information Systems 123
- Strategy and Management 106
- Statistics, Probability and Uncertainty 94
Countries citing papers authored by Barry R. Cobb
This map shows the geographic impact of Barry R. Cobb'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 Barry R. Cobb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry R. Cobb more than expected).
Fields of papers citing papers by Barry R. Cobb
This network shows the impact of papers produced by Barry R. Cobb. 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 Barry R. Cobb. The network helps show where Barry R. Cobb may publish in the future.
Co-authorship network of co-authors of Barry R. Cobb
This figure shows the co-authorship network connecting the top 25 collaborators of Barry R. Cobb. A scholar is included among the top collaborators of Barry R. Cobb 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 Barry R. Cobb. Barry R. Cobb 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 | 0 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 12 | |
| 9 | 20 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 13 | |
| 14 | Continuous Decision MTE Influence Diagrams. | 4 |
| 15 | 16 | |
| 16 | 49 | |
| 17 | 140 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | 3 |
About Barry R. Cobb
Barry R. Cobb is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 44 papers that have together received 688 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (15 papers), Advanced Statistical Process Monitoring (7 papers) and Supply Chain and Inventory Management (7 papers). The work is most often cited by research in Management Science and Operations Research (246 citations), Management Information Systems (123 citations) and Statistics, Probability and Uncertainty (94 citations). Barry R. Cobb has collaborated with scholars based in United States and Spain. Frequent co-authors include Prakash P. Shenoy, Rafael Rumí, John M. Charnes, Linda Li, Antonio Salmerón, Alan W. Johnson and Atin Basuchoudhary. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics and Journal of the Operational Research Society.
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.