John Rompel
Impact in
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
- Artificial Intelligence top 2%
- Cryptography and Data Security
- Cryptographic Implementations and Security
- Coding theory and cryptography
- Privacy-Preserving Technologies in Data
Papers in
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- Complexity and Algorithms in Graphs 8
- semigroups and automata theory 1
-
- Computational Geometry and Mesh Generation 4
- Co-authors
- Bonnie Berger (5 shared papers)Lance Fortnow (3 shared papers)Mihir Bellare (1 shared paper)Michael Sipser (2 shared papers)M. Sipser (1 shared paper)Peter W. Shor (2 shared papers)
- Journals
- Algorithmica (1 paper)Journal of Computer and System Sciences (1 paper)Journal of the ACM (1 paper)Theoretical Computer Science (1 paper)
- Partner nations
- United States
In The Last Decade
John Rompel
10 papers receiving 980 citations
Peers
Comparison fields: 5 of 44
- Computational Theory and Mathematics 617
- Artificial Intelligence 859
- Computer Graphics and Computer-Aided Design 88
- Computer Networks and Communications 176
- Computer Vision and Pattern Recognition 137
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 | 520 | |
| 2 | 1994 | 124 | |
| 3 | 1988 | 105 | |
| 4 | 2002 | 100 | |
| 5 | 1994 | 72 | |
| 6 | 1991 | 68 | |
| 7 | 1990 | 42 | |
| 8 | 1989 | 23 | |
| 9 | 1989 | 14 | |
| 10 | Errata for On the Power of Multi-Prover Interactive Protocols. | 1990 | 10 |
About John Rompel
John Rompel is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Numerical Analysis and Geometry and Topology, having authored 10 papers that have together received 1.1k 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), Machine Learning and Algorithms (2 papers), Mathematical Approximation and Integration (2 papers), Algorithms and Data Compression (1 paper), Logic, programming, and type systems (1 paper) and semigroups and automata theory (1 paper). The work is most often cited by research in Computational Theory and Mathematics (617 citations), Artificial Intelligence (859 citations), Computer Graphics and Computer-Aided Design (88 citations), Computer Networks and Communications (176 citations) and Computer Vision and Pattern Recognition (137 citations). John Rompel has collaborated with scholars based in United States. Frequent co-authors include Bonnie Berger, Lance Fortnow, Mihir Bellare, Michael Sipser, M. Sipser and Peter W. Shor. Their work appears in journals such as Algorithmica, Journal of Computer and System Sciences, Journal of the ACM 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.