John Tromp
Impact in
- Artificial Intelligence top 1%
- Algorithms and Data Compression
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- Computability, Logic, AI Algorithms
- semigroups and automata theory
Papers in
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- Algorithms and Data Compression 18
- Machine Learning and Algorithms 7
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- Computability, Logic, AI Algorithms 12
- semigroups and automata theory 5
- Co-authors
- Bin Ma (1 shared paper)Ming Li (1 shared paper)Bin Ma (3 shared papers)Ming Li (4 shared papers)Paul Vitányi (16 shared papers)Tao Jiang (9 shared papers)Michael L. Hair (4 shared papers)John R. Harbour (2 shared papers)
- Journals
- Bioinformatics (3 papers)Theoretical Computer Science (3 papers)Journal of the ACM (3 papers)Algorithmica (2 papers)IEEE Transactions on Information Theory (2 papers)
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
John Tromp
62 papers receiving 2.3k citations
John Tromp's Hit Papers
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 1.2k
- Computational Theory and Mathematics 418
- Hardware and Architecture 139
- Molecular Biology 1.2k
- Computer Networks and Communications 340
Countries citing papers authored by John Tromp
This map shows the geographic impact of John Tromp'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 Tromp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tromp more than expected).
Fields of papers citing papers by John Tromp
This network shows the impact of papers produced by John Tromp. 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 Tromp. The network helps show where John Tromp may publish in the future.
Co-authors
The 25 scholars most cited alongside John Tromp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PatternHunter: faster and more sensitive homology search Hit paper breakdown → | 2002 | 578 |
| 2 | PatternHunter II: highly sensitive and fast homology search. | 2003 | 179 |
| 3 | 2002 | 168 | |
| 4 | 2004 | 151 | |
| 5 | 1985 | 133 | |
| 6 | 2003 | 105 | |
| 7 | 1994 | 104 | |
| 8 | 2001 | 74 | |
| 9 | 1996 | 68 | |
| 10 | 1996 | 65 | |
| 11 | 1991 | 61 | |
| 12 | A fast and simple algorithm for bounds consistency of the all different constraint | 2003 | 52 |
| 13 | 2005 | 51 | |
| 14 | How to construct an atomic variable | 1989 | 42 |
| 15 | 2007 | 41 | |
| 16 | 2000 | 40 | |
| 17 | 2007 | 39 | |
| 18 | 2007 | 36 | |
| 19 | 1989 | 35 | |
| 20 | 2015 | 34 |
About John Tromp
John Tromp is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Molecular Biology and Hardware and Architecture, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Algorithms and Data Compression (18 papers), Computability, Logic, AI Algorithms (12 papers), Machine Learning and Algorithms (7 papers), Distributed systems and fault tolerance (7 papers), Parallel Computing and Optimization Techniques (7 papers), Optimization and Search Problems (5 papers), semigroups and automata theory (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computational Theory and Mathematics (418 citations), Hardware and Architecture (139 citations), Molecular Biology (1.2k citations) and Computer Networks and Communications (340 citations). John Tromp has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Bin Ma, Ming Li, Bin Ma, Ming Li, Paul Vitányi, Tao Jiang, Michael L. Hair, John R. Harbour, Xin Chen and Ming Li. Their work appears in journals such as Bioinformatics, Theoretical Computer Science, Journal of the ACM, Algorithmica and IEEE Transactions on Information Theory.
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.