György Turán

42 papers and 454 indexed citations i.

About

György Turán is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, György Turán has authored 42 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 22 papers in Computational Theory and Mathematics and 5 papers in Computer Networks and Communications. Recurrent topics in György Turán’s work include Machine Learning and Algorithms (16 papers), Algorithms and Data Compression (9 papers) and semigroups and automata theory (9 papers). György Turán is often cited by papers focused on Machine Learning and Algorithms (16 papers), Algorithms and Data Compression (9 papers) and semigroups and automata theory (9 papers). György Turán collaborates with scholars based in United States, Hungary and Austria. György Turán's co-authors include Wolfgang Maass, Márió Szegedy, Pavel Pudlák, A. Hajnal, Samuel R. Buss, Robert H. Sloan, Balázs Szörényi, Dhruv Mubayi, Farrokh Vatan and Peter Nelson and has published in prestigious journals such as Artificial Intelligence, Machine Learning and Journal of Computer and System Sciences.

In The Last Decade

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

Fields of papers citing papers by György Turán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by György Turán

Since Specialization
Citations

This map shows the geographic impact of György Turán'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 Turán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites György Turán 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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2025