Tom Gur
Impact in
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- Complexity and Algorithms in Graphs
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- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
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- Cryptography and Data Security 13
- Machine Learning and Algorithms 10
- Coding theory and cryptography 4
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- Complexity and Algorithms in Graphs 20
- Formal Methods in Verification 5
- semigroups and automata theory 4
- Computability, Logic, AI Algorithms 3
- Co-authors
- Eran Halperin (2 shared papers)Bogdan Paşaniuc (2 shared papers)Noah Zaitlen (1 shared paper)Elad Ziv (1 shared paper)Ron D. Rothblum (7 shared papers)Clément L. Canonne (3 shared papers)Oded Lachish (4 shared papers)Ran Raz (2 shared papers)
- Journals
- Information and Computation (2 papers)Computational Complexity (2 papers)SIAM Journal on Computing (2 papers)Theory of Computing (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Tom Gur
29 papers receiving 231 citations
Peers
Comparison fields: 5 of 46
- Computational Theory and Mathematics 96
- Genetics 91
- Artificial Intelligence 117
- Computer Networks and Communications 37
- Statistics and Probability 5
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 23 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 95 | |
| 2 | 2010 | 17 | |
| 3 | 2015 | 12 | |
| 4 | 2019 | 10 | |
| 5 | 2019 | 9 | |
| 6 | 2017 | 9 | |
| 7 | 2013 | 8 | |
| 8 | 2018 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2015 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2022 | 2 |
About Tom Gur
Tom Gur is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Molecular Biology and Electrical and Electronic Engineering, having authored 36 papers that have together received 244 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (20 papers), Cryptography and Data Security (13 papers), Machine Learning and Algorithms (10 papers), Formal Methods in Verification (5 papers), DNA and Biological Computing (5 papers), Coding theory and cryptography (4 papers), semigroups and automata theory (4 papers) and Computability, Logic, AI Algorithms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (96 citations), Genetics (91 citations), Artificial Intelligence (117 citations), Computer Networks and Communications (37 citations) and Statistics and Probability (5 citations). Tom Gur has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Eran Halperin, Bogdan Paşaniuc, Noah Zaitlen, Elad Ziv, Ron D. Rothblum, Clément L. Canonne, Oded Lachish, Ran Raz, Alessandro Chiesa and Oded Goldreich. Their work appears in journals such as Information and Computation, Computational Complexity, SIAM Journal on Computing, 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.