Péter Gács

39 papers and 1.0k indexed citations i.

About

Péter Gács is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Péter Gács has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 13 papers in Artificial Intelligence and 12 papers in Mathematical Physics. Recurrent topics in Péter Gács’s work include Computability, Logic, AI Algorithms (21 papers), Cellular Automata and Applications (9 papers) and Stochastic processes and statistical mechanics (8 papers). Péter Gács is often cited by papers focused on Computability, Logic, AI Algorithms (21 papers), Cellular Automata and Applications (9 papers) and Stochastic processes and statistical mechanics (8 papers). Péter Gács collaborates with scholars based in United States, Hungary and Canada. Péter Gács's co-authors include Paul Vitányi, Rudolf Ahlswede, Ming Li, Wojciech H. Zurek, Charles H. Bennett, Anna Gál, John Tromp, John H. Reif, Thomas M. Cover and Robert M. Gray and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Statistical Physics and The Annals of Probability.

In The Last Decade

Co-authorship network of co-authors of Péter Gács i

Fields of papers citing papers by Péter Gács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Péter Gács

Since Specialization
Citations

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).

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.

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