Tom Gur
Impact in
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- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomic variations and chromosomal abnormalities
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- Complexity and Algorithms in Graphs
Papers in
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- Cryptography and Data Security 9
- Machine Learning and Algorithms 8
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- Complexity and Algorithms in Graphs 15
- Formal Methods in Verification 4
- semigroups and automata theory 4
- Computability, Logic, AI Algorithms 3
- Co-authors
- Bogdan Paşaniuc (2 shared papers)Eran Halperin (2 shared papers)Elad Ziv (1 shared paper)Noah Zaitlen (1 shared paper)Ron D. Rothblum (5 shared papers)Clément L. Canonne (3 shared papers)Ram Avinery (1 shared paper)Eric Blais (2 shared papers)
- Journals
- Computational Complexity (2 papers)SIAM Journal on Computing (2 papers)Quantum (1 paper)Theory of Computing (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Tom Gur
22 papers receiving 167 citations
Peers
Comparison fields: 5 of 46
- Genetics 90
- Computational Theory and Mathematics 47
- Artificial Intelligence 59
- Computer Networks and Communications 17
- Molecular Biology 39
Countries citing papers authored by Tom Gur
This map shows the geographic impact of Tom Gur'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 Tom Gur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Gur more than expected).
Fields of papers citing papers by Tom Gur
This network shows the impact of papers produced by Tom Gur. 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 Tom Gur. The network helps show where Tom Gur may publish in the future.
Co-authors
The 22 scholars most cited alongside Tom Gur, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 90 | |
| 2 | 2010 | 16 | |
| 3 | 2019 | 8 | |
| 4 | 2018 | 7 | |
| 5 | 2015 | 7 | |
| 6 | 2020 | 6 | |
| 7 | 2014 | 5 | |
| 8 | 2017 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2015 | 2 | |
| 13 | 2018 | 2 | |
| 14 | 2012 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2018 | 2 | |
| 18 | A Structural Theorem for Local Algorithms with Applications to Coding, Testing, and Delegation | 2021 | 1 |
| 19 | Universal Locally Testable Codes. | 2016 | 1 |
| 20 | 2022 | 1 |
About Tom Gur
Tom Gur is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 27 papers that have together received 172 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (15 papers), Cryptography and Data Security (9 papers), Machine Learning and Algorithms (8 papers), DNA and Biological Computing (4 papers), Formal Methods in Verification (4 papers), semigroups and automata theory (4 papers), Computability, Logic, AI Algorithms (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Genetics (90 citations), Computational Theory and Mathematics (47 citations), Artificial Intelligence (59 citations), Computer Networks and Communications (17 citations) and Molecular Biology (39 citations). Tom Gur has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Bogdan Paşaniuc, Eran Halperin, Elad Ziv, Noah Zaitlen, Ron D. Rothblum, Clément L. Canonne, Ram Avinery, Eric Blais, Ran Raz and Oded Goldreich. Their work appears in journals such as Computational Complexity, SIAM Journal on Computing, Quantum, Theory of Computing and The American Journal of Human Genetics.
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.