Katalin Gyarmati

39 papers and 269 indexed citations i.

About

Katalin Gyarmati is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Katalin Gyarmati has authored 39 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Katalin Gyarmati’s work include Coding theory and cryptography (19 papers), graph theory and CDMA systems (15 papers) and Analytic Number Theory Research (11 papers). Katalin Gyarmati is often cited by papers focused on Coding theory and cryptography (19 papers), graph theory and CDMA systems (15 papers) and Analytic Number Theory Research (11 papers). Katalin Gyarmati collaborates with scholars based in Hungary, France and Canada. Katalin Gyarmati's co-authors include Andràs Sárközy, Christian Mauduit, C. L. Stewart, Imre Z. Ruzsa, Yann Bugeaud, Péter Csíkvári, Máté Matolcsi, Rainer Dietmann, Miklós Simonovits and Christian Elsholtz and has published in prestigious journals such as Discrete Mathematics, Discrete Applied Mathematics and Journal of Combinatorial Theory Series A.

In The Last Decade

Co-authorship network of co-authors of Katalin Gyarmati i

Fields of papers citing papers by Katalin Gyarmati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katalin Gyarmati

Since Specialization
Citations

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