György Gát

80 papers and 587 indexed citations i.

About

György Gát is a scholar working on Applied Mathematics, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, György Gát has authored 80 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Applied Mathematics, 31 papers in Statistics and Probability and 24 papers in Mathematical Physics. Recurrent topics in György Gát’s work include Advanced Harmonic Analysis Research (70 papers), Differential Equations and Boundary Problems (32 papers) and Approximation Theory and Sequence Spaces (31 papers). György Gát is often cited by papers focused on Advanced Harmonic Analysis Research (70 papers), Differential Equations and Boundary Problems (32 papers) and Approximation Theory and Sequence Spaces (31 papers). György Gát collaborates with scholars based in Hungary, Georgia and Armenia. György Gát's co-authors include Ушанги Гогинава, István Blahota and Károly Nagy and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Proceedings of the American Mathematical Society and Mathematische Annalen.

In The Last Decade

Co-authorship network of co-authors of György Gát i

Fields of papers citing papers by György Gát

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by György Gát. 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 György Gát. The network helps show where György Gát may publish in the future.

Countries citing papers authored by György Gát

Since Specialization
Citations

This map shows the geographic impact of György Gát'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 György Gát with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites György Gát 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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