Csaba Szepesvári

148 papers and 3.1k indexed citations i.

About

Csaba Szepesvári is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Csaba Szepesvári has authored 148 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Artificial Intelligence, 74 papers in Management Science and Operations Research and 34 papers in Computer Networks and Communications. Recurrent topics in Csaba Szepesvári’s work include Advanced Bandit Algorithms Research (67 papers), Reinforcement Learning in Robotics (56 papers) and Machine Learning and Algorithms (39 papers). Csaba Szepesvári is often cited by papers focused on Advanced Bandit Algorithms Research (67 papers), Reinforcement Learning in Robotics (56 papers) and Machine Learning and Algorithms (39 papers). Csaba Szepesvári collaborates with scholars based in Canada, United States and Hungary. Csaba Szepesvári's co-authors include Rémi Munos, Yasin Abbasi-Yadkori, Dávid Pál, Michael L. Littman, Jean-Yves Audibert, Tommi Jaakkola, András Antos, Satinder Singh, Richard S. Sutton and Hamid Reza Maei and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Automatic Control and Genome Research.

In The Last Decade

Co-authorship network of co-authors of Csaba Szepesvári i

Fields of papers citing papers by Csaba Szepesvári

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Csaba Szepesvári

Since Specialization
Citations

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