Gergely Neu

21 papers and 208 indexed citations i.

About

Gergely Neu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Gergely Neu has authored 21 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 9 papers in Computer Networks and Communications. Recurrent topics in Gergely Neu’s work include Advanced Bandit Algorithms Research (15 papers), Reinforcement Learning in Robotics (8 papers) and Machine Learning and Algorithms (7 papers). Gergely Neu is often cited by papers focused on Advanced Bandit Algorithms Research (15 papers), Reinforcement Learning in Robotics (8 papers) and Machine Learning and Algorithms (7 papers). Gergely Neu collaborates with scholars based in Spain, Hungary and Canada. Gergely Neu's co-authors include Csaba Szepesvári, András György, András Antos, Sergio Barrachina‐Muñoz, Francesc Wilhelmi, Boris Bellalta, Anders Jönsson, Cristina Cano, Gábor Lugosi and Luc Devroye and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Gergely Neu i

Fields of papers citing papers by Gergely Neu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gergely Neu

Since Specialization
Citations

This map shows the geographic impact of Gergely Neu'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 Gergely Neu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gergely Neu 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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2025