Péter Gács
Impact in
- Computational Theory and Mathematics top 0.5%
- Computability, Logic, AI Algorithms
- Cellular Automata and Applications
- semigroups and automata theory
- Statistics and Probability top 2%
- Benford’s Law and Fraud Detection
Papers in
-
- Computability, Logic, AI Algorithms 24
- Cellular Automata and Applications 11
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- Quantum Computing Algorithms and Architecture 4
- Co-authors
- Paul Vitányi (4 shared papers)Ming Li (2 shared papers)Charles H. Bennett (2 shared papers)Wojciech H. Zurek (2 shared papers)Rudolf Ahlswede (2 shared papers)Anna Gál (1 shared paper)John H. Reif (2 shared papers)John Tromp (1 shared paper)
- Journals
- The Annals of Probability (3 papers)IEEE Transactions on Information Theory (3 papers)Journal of Computer and System Sciences (2 papers)Theoretical Computer Science (2 papers)Combinatorics Probability Computing (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Péter Gács
41 papers receiving 962 citations
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 639
- Statistics and Probability 160
- Mathematical Physics 159
- Artificial Intelligence 477
- Geometry and Topology 55
Countries citing papers authored by Péter Gács
This map shows the geographic impact of Péter Gács'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 Péter Gács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Gács more than expected).
Fields of papers citing papers by Péter Gács
This network shows the impact of papers produced by Péter Gács. 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 Péter Gács. The network helps show where Péter Gács may publish in the future.
Co-authors
The 20 scholars most cited alongside Péter Gács, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 271 | |
| 2 | 1976 | 89 | |
| 3 | 1986 | 83 | |
| 4 | 2002 | 65 | |
| 5 | 2005 | 59 | |
| 6 | 2001 | 55 | |
| 7 | 1989 | 51 | |
| 8 | 1986 | 49 | |
| 9 | 1994 | 45 | |
| 10 | 2001 | 35 | |
| 11 | 1988 | 30 | |
| 12 | On playing “Twenty Questions” with a liar | 1992 | 29 |
| 13 | 1980 | 28 | |
| 14 | 1983 | 22 | |
| 15 | 2011 | 19 | |
| 16 | 2010 | 19 | |
| 17 | 1977 | 16 | |
| 18 | 1993 | 12 | |
| 19 | 2000 | 11 | |
| 20 | 1979 | 10 |
About Péter Gács
Péter Gács is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Mathematical Physics, Statistics and Probability and Geometry and Topology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (24 papers), Cellular Automata and Applications (11 papers), Stochastic processes and statistical mechanics (8 papers), Statistical Mechanics and Entropy (5 papers), Error Correcting Code Techniques (4 papers), Theoretical and Computational Physics (4 papers), Quantum Computing Algorithms and Architecture (4 papers) and DNA and Biological Computing (4 papers). The work is most often cited by research in Computational Theory and Mathematics (639 citations), Statistics and Probability (160 citations), Mathematical Physics (159 citations), Artificial Intelligence (477 citations) and Geometry and Topology (55 citations). Péter Gács has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Paul Vitányi, Ming Li, Charles H. Bennett, Wojciech H. Zurek, Rudolf Ahlswede, Anna Gál, John H. Reif, John Tromp, Thomas M. Cover and Robert M. Gray. Their work appears in journals such as The Annals of Probability, IEEE Transactions on Information Theory, Journal of Computer and System Sciences, Theoretical Computer Science and Combinatorics Probability Computing.
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.