Márió Szegedy

55 papers and 2.9k indexed citations i.

About

Márió Szegedy is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Márió Szegedy has authored 55 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computational Theory and Mathematics, 29 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Márió Szegedy’s work include Combinatorial Optimization and Complexity Theory (19 papers), Advanced Graph Theory Research (15 papers) and Quantum Computing Algorithms and Architecture (11 papers). Márió Szegedy is often cited by papers focused on Combinatorial Optimization and Complexity Theory (19 papers), Advanced Graph Theory Research (15 papers) and Quantum Computing Algorithms and Architecture (11 papers). Márió Szegedy collaborates with scholars based in United States, Israel and Hungary. Márió Szegedy's co-authors include Noga Alon, Yossi Matias, Carsten Lund, Rajeev Motwani, Madhu Sudan, Sanjeev Arora, Noam Nisan, Miklós Sántha, Frédéric Magniez and Michael Krivelevich and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Information Theory and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Márió Szegedy i

Fields of papers citing papers by Márió Szegedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Márió Szegedy

Since Specialization
Citations

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