Martin Tompa
Impact in
- Computational Theory and Mathematics top 0.5%
- Complexity and Algorithms in Graphs
- Artificial Intelligence top 1%
- Algorithms and Data Compression
- Cryptography and Data Security
Papers in
-
- Complexity and Algorithms in Graphs 15
- semigroups and automata theory 14
- Co-authors
- Jeremy BuhlerSaurabh SinhaWalter L. RuzzoMathieu BlanchetteGary K. SchoolnikReiling LiaoMaria I. HarrellMartin I. Voskuil
- Journals
- SIAM Journal on Computing (7 papers)Journal of Computer and System Sciences (6 papers)BMC Bioinformatics (3 papers)Information and Computation (3 papers)Journal of Computational Biology (3 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Martin Tompa
80 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computational Theory and Mathematics 672
- Artificial Intelligence 1.1k
- Infectious Diseases 502
- Molecular Biology 1.8k
- Molecular Medicine 112
Countries citing papers authored by Martin Tompa
This map shows the geographic impact of Martin Tompa'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 Martin Tompa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Tompa more than expected).
Fields of papers citing papers by Martin Tompa
This network shows the impact of papers produced by Martin Tompa. 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 Martin Tompa. The network helps show where Martin Tompa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Tompa, 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 | 2013 | 23 | |
| 2 | 2009 | 2 | |
| 3 | 2007 | 20 | |
| 4 | 2007 | 29 | |
| 5 | 2006 | 24 | |
| 6 | 2006 | 21 | |
| 7 | 2005 | 49 | |
| 8 | 2004 | 138 | |
| 9 | Rv3133c/dosR is a transcription factor that mediates the hypoxic response of Mycobacterium tuberculosis Hit paper breakdown → | 2003 | 571 |
| 10 | 1996 | 9 | |
| 11 | 1995 | 11 | |
| 12 | 1990 | 6 | |
| 13 | Zero knowledge interactive proofs of knowledge (a digest) | 1988 | 1 |
| 14 | 1985 | 31 | |
| 15 | 1985 | 26 | |
| 16 | 1984 | 68 | |
| 17 | Probabilistic, Nondeterministic, and Alternating Decision Trees | 1982 | 14 |
| 18 | 1981 | 48 | |
| 19 | 1981 | 36 | |
| 20 | 1980 | 49 |
About Martin Tompa
Martin Tompa is a scholar working on Computational Theory and Mathematics, Computational Mathematics, Discrete Mathematics and Combinatorics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 81 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (21 papers), RNA and protein synthesis mechanisms (16 papers), Complexity and Algorithms in Graphs (15 papers), semigroups and automata theory (14 papers), Algorithms and Data Compression (12 papers), Genomics and Chromatin Dynamics (11 papers), Coding theory and cryptography (10 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Computational Theory and Mathematics (672 citations), Artificial Intelligence (1.1k citations), Infectious Diseases (502 citations), Molecular Biology (1.8k citations) and Molecular Medicine (112 citations). Martin Tompa has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Jeremy Buhler, Saurabh Sinha, Walter L. Ruzzo, Mathieu Blanchette, Gary K. Schoolnik, Reiling Liao, Maria I. Harrell, Martin I. Voskuil, David R. Sherman and Amol Prakash. Their work appears in journals such as SIAM Journal on Computing, Journal of Computer and System Sciences, BMC Bioinformatics, Information and Computation and Journal of Computational Biology.
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.