Ferenc Gécseg

24 papers and 416 indexed citations i.

About

Ferenc Gécseg is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ferenc Gécseg has authored 24 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 15 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Ferenc Gécseg’s work include semigroups and automata theory (19 papers), Formal Methods in Verification (8 papers) and Logic, programming, and type systems (6 papers). Ferenc Gécseg is often cited by papers focused on semigroups and automata theory (19 papers), Formal Methods in Verification (8 papers) and Logic, programming, and type systems (6 papers). Ferenc Gécseg collaborates with scholars based in Hungary and Canada. Ferenc Gécseg's co-authors include Hartmut Ehrig, Magnus Steinby, Helmut Jürgensen, Zoltán Ésik and Zoltán Fülöp and has published in prestigious journals such as Mathematics of Computation, Theoretical Computer Science and Discrete Applied Mathematics.

In The Last Decade

Co-authorship network of co-authors of Ferenc Gécseg i

Fields of papers citing papers by Ferenc Gécseg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ferenc Gécseg

Since Specialization
Citations

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