András Antos

About

András Antos is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, András Antos has authored 17 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 4 papers in Computer Networks and Communications. Recurrent topics in András Antos’s work include Machine Learning and Algorithms (10 papers), Reinforcement Learning in Robotics (5 papers) and Advanced Bandit Algorithms Research (4 papers). András Antos is often cited by papers focused on Machine Learning and Algorithms (10 papers), Reinforcement Learning in Robotics (5 papers) and Advanced Bandit Algorithms Research (4 papers). András Antos collaborates with scholars based in Hungary, Canada and France. András Antos's co-authors include Csaba Szepesvári, Ioannis Kontoyiannis, Rémi Munos, András György, László Györfi, Gergely Neu, Luc Devroye, Gábor Lugosi, Varun Grover and Michael Köhler and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of András Antos i

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Fields of papers citing papers by András Antos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by András Antos

Since Specialization

Citations

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