László Gyöngyösi

95 papers and 1.8k indexed citations i.

About

László Gyöngyösi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, László Gyöngyösi has authored 95 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 62 papers in Atomic and Molecular Physics, and Optics and 12 papers in Computational Theory and Mathematics. Recurrent topics in László Gyöngyösi’s work include Quantum Information and Cryptography (83 papers), Quantum Computing Algorithms and Architecture (83 papers) and Quantum Mechanics and Applications (42 papers). László Gyöngyösi is often cited by papers focused on Quantum Information and Cryptography (83 papers), Quantum Computing Algorithms and Architecture (83 papers) and Quantum Mechanics and Applications (42 papers). László Gyöngyösi collaborates with scholars based in Hungary, United Kingdom and Austria. László Gyöngyösi's co-authors include Sándor Imre, Hung Viet Nguyen, Lajos Hanzo, Markus Rupp, Harald Haas, Dominic O’Brien and Z. Kis and has published in prestigious journals such as Scientific Reports, Proceedings of the IEEE and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of László Gyöngyösi i

Fields of papers citing papers by László Gyöngyösi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by László Gyöngyösi

Since Specialization
Citations

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