John Rompel
Impact in
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
- Computability, Logic, AI Algorithms
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- Computational Geometry and Mesh Generation
Papers in
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- Complexity and Algorithms in Graphs 8
- Graph Labeling and Dimension Problems 1
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- Cryptography and Data Security 4
- Machine Learning and Algorithms 2
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Bonnie Berger (5 shared papers)Lance Fortnow (3 shared papers)Michael Sipser (2 shared papers)Mihir Bellare (1 shared paper)M. Sipser (1 shared paper)Peter W. Shor (2 shared papers)
- Journals
- Journal of the ACM (1 paper)Algorithmica (1 paper)Journal of Computer and System Sciences (1 paper)Theoretical Computer Science (1 paper)
- Partner nations
- United States
In The Last Decade
John Rompel
10 papers receiving 559 citations
Peers
Comparison fields: 5 of 38
- Computational Theory and Mathematics 413
- Computer Graphics and Computer-Aided Design 66
- Artificial Intelligence 468
- Discrete Mathematics and Combinatorics 17
- Computer Networks and Communications 117
Countries citing papers authored by John Rompel
This map shows the geographic impact of John Rompel'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 John Rompel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Rompel more than expected).
Fields of papers citing papers by John Rompel
This network shows the impact of papers produced by John Rompel. 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 John Rompel. The network helps show where John Rompel may publish in the future.
Co-authors
The 6 scholars most cited alongside John Rompel, 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 | 1990 | 227 | |
| 2 | 1994 | 94 | |
| 3 | 1988 | 77 | |
| 4 | 1994 | 58 | |
| 5 | 2002 | 56 | |
| 6 | 1991 | 52 | |
| 7 | 1990 | 34 | |
| 8 | 1989 | 16 | |
| 9 | 1989 | 12 | |
| 10 | Errata for On the Power of Multi-Prover Interactive Protocols. | 1990 | 9 |
About John Rompel
John Rompel is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Numerical Analysis and Computer Networks and Communications, having authored 10 papers that have together received 635 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (8 papers), Cryptography and Data Security (4 papers), Computational Geometry and Mesh Generation (4 papers), Mathematical Approximation and Integration (2 papers), Machine Learning and Algorithms (2 papers), Graph Labeling and Dimension Problems (1 paper), Scheduling and Timetabling Solutions (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Computational Theory and Mathematics (413 citations), Computer Graphics and Computer-Aided Design (66 citations), Artificial Intelligence (468 citations), Discrete Mathematics and Combinatorics (17 citations) and Computer Networks and Communications (117 citations). John Rompel has collaborated with scholars based in United States. Frequent co-authors include Bonnie Berger, Lance Fortnow, Michael Sipser, Mihir Bellare, M. Sipser and Peter W. Shor. Their work appears in journals such as Journal of the ACM, Algorithmica, Journal of Computer and System Sciences and Theoretical Computer Science.
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.