Jerome J. Braun
Impact in
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- Multi-Criteria Decision Making
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- Bayesian Modeling and Causal Inference
- Target Tracking and Data Fusion in Sensor Networks
- AI-based Problem Solving and Planning
Papers in
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- Neural Networks and Applications 2
- Target Tracking and Data Fusion in Sensor Networks 2
- AI-based Problem Solving and Planning 1
- Bayesian Modeling and Causal Inference 1
- Surgery 1
- Esophageal Cancer Research and Treatment 1
- Co-authors
- Cadman L. Leggett (1 shared paper)Blair A. Jobe (1 shared paper)Andrew Kalra (1 shared paper)Bruce D. Greenwald (1 shared paper)Yulan Cheng (1 shared paper)Ashten N. Omstead (1 shared paper)Suji Kim (1 shared paper)Louis Y. Korman (1 shared paper)
- Journals
- The American Journal of Gastroenterology (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (6 papers)
- Partner nations
- United States
In The Last Decade
Jerome J. Braun
6 papers receiving 33 citations
Peers
Comparison fields: 5 of 24
- Management Science and Operations Research 8
- Artificial Intelligence 14
- Signal Processing 3
- Computer Networks and Communications 6
- Control and Systems Engineering 6
Countries citing papers authored by Jerome J. Braun
This map shows the geographic impact of Jerome J. Braun'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 Jerome J. Braun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerome J. Braun more than expected).
Fields of papers citing papers by Jerome J. Braun
This network shows the impact of papers produced by Jerome J. Braun. 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 Jerome J. Braun. The network helps show where Jerome J. Braun may publish in the future.
Co-authors
The 15 scholars most cited alongside Jerome J. Braun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 22 | |
| 2 | 2025 | 7 | |
| 3 | 2006 | 4 | |
| 4 | 2002 | 2 | |
| 5 | 2007 | 1 | |
| 6 | 2005 | 1 | |
| 7 | 2014 | 1 |
About Jerome J. Braun
Jerome J. Braun is a scholar working on Artificial Intelligence, Surgery, Computer Networks and Communications, Molecular Biology and Control and Systems Engineering, having authored 7 papers that have together received 38 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Esophageal Cancer Research and Treatment (1 paper), Child and Animal Learning Development (1 paper), AI-based Problem Solving and Planning (1 paper), Gene expression and cancer classification (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Fault Detection and Control Systems (1 paper). The work is most often cited by research in Management Science and Operations Research (8 citations), Artificial Intelligence (14 citations), Signal Processing (3 citations), Computer Networks and Communications (6 citations) and Control and Systems Engineering (6 citations). Jerome J. Braun has collaborated with scholars based in United States. Frequent co-authors include Cadman L. Leggett, Blair A. Jobe, Andrew Kalra, Bruce D. Greenwald, Yulan Cheng, Ashten N. Omstead, Suji Kim, Louis Y. Korman, Lorrie A. Perpetua and Ke Ma. Their work appears in journals such as The American Journal of Gastroenterology and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.