Paul A. Rubin
- Industrial and Manufacturing Engineering top 2%
- Management Information Systems top 5%
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Gary L. RagatzW.C. BentonRam NarasimhanLihui BaiJoseph R. CarterJohn A. WagnerThomas CallahanDavid M. Dilts
- Topics
- Advanced Statistical Methods and Models (7 papers)Multi-Criteria Decision Making (6 papers)Supply Chain and Inventory Management (6 papers)
- Cited by
- Management Information SystemsIndustrial and Manufacturing EngineeringManagement Science and Operations Research
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceEuropean Journal of Operational ResearchOperations Research
- Partner nations
- United StatesRussiaFrance
In The Last Decade
Paul A. Rubin
29 papers receiving 601 citations
Peers
Comparison fields: 5 of 82
- Industrial and Manufacturing Engineering 201
- Management Information Systems 195
- Management Science and Operations Research 157
- Control and Systems Engineering 150
- Artificial Intelligence 99
Countries citing papers authored by Paul A. Rubin
This map shows the geographic impact of Paul A. Rubin'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 Paul A. Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul A. Rubin more than expected).
Fields of papers citing papers by Paul A. Rubin
This network shows the impact of papers produced by Paul A. Rubin. 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 Paul A. Rubin. The network helps show where Paul A. Rubin may publish in the future.
Co-authorship network of co-authors of Paul A. Rubin
This figure shows the co-authorship network connecting the top 25 collaborators of Paul A. Rubin. A scholar is included among the top collaborators of Paul A. Rubin 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 Paul A. Rubin. Paul A. Rubin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 12 | |
| 4 | 39 | |
| 5 | 15 | |
| 6 | 0 | |
| 7 | 20 | |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 23 | |
| 11 | 4 | |
| 12 | 47 | |
| 13 | 40 | |
| 14 | 20 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 70 | |
| 18 | 14 | |
| 19 | 4 | |
| 20 | 39 |
About Paul A. Rubin
Paul A. Rubin is a scholar working on Statistics and Probability, Management Information Systems and Management Science and Operations Research, having authored 30 papers that have together received 664 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (7 papers), Multi-Criteria Decision Making (6 papers) and Supply Chain and Inventory Management (6 papers). The work is most often cited by research in Management Information Systems (195 citations), Industrial and Manufacturing Engineering (201 citations) and Management Science and Operations Research (157 citations). Paul A. Rubin has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Gary L. Ragatz, W.C. Benton, Ram Narasimhan, Lihui Bai, Joseph R. Carter, John A. Wagner, Thomas Callahan, David M. Dilts, Monica Gentili and Nagesh N. Murthy. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, European Journal of Operational Research and Operations 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.