Relu Patrascu

About

Relu Patrascu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Relu Patrascu has authored 10 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Relu Patrascu’s work include Formal Methods in Verification (4 papers), Reinforcement Learning in Robotics (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Relu Patrascu is often cited by papers focused on Formal Methods in Verification (4 papers), Reinforcement Learning in Robotics (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Relu Patrascu collaborates with scholars based in Canada, United States and Austria. Relu Patrascu's co-authors include Dale Schuurmans, Craig Boutilier, Pascal Poupart, Carlos Guestrin, Deborah Stacey, Brendan J. Frey, Tommi Jaakkola, Rajarshi Das, William E. Walsh and Jeffrey O. Kephart and has published in prestigious journals such as Artificial Intelligence, The Atrium (University of Guelph) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Relu Patrascu i

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Fields of papers citing papers by Relu Patrascu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Relu Patrascu

Since Specialization

Citations

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