Tomás Prieto-Rumeau

38 papers and 393 indexed citations i.

About

Tomás Prieto-Rumeau is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Tomás Prieto-Rumeau has authored 38 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 20 papers in Management Science and Operations Research and 14 papers in Statistics and Probability. Recurrent topics in Tomás Prieto-Rumeau’s work include Reinforcement Learning in Robotics (16 papers), Markov Chains and Monte Carlo Methods (14 papers) and Advanced Control Systems Optimization (8 papers). Tomás Prieto-Rumeau is often cited by papers focused on Reinforcement Learning in Robotics (16 papers), Markov Chains and Monte Carlo Methods (14 papers) and Advanced Control Systems Optimization (8 papers). Tomás Prieto-Rumeau collaborates with scholars based in Spain, Mexico and France. Tomás Prieto-Rumeau's co-authors include Onésimo Hernández–Lerma, François Dufour, Jean B. Lasserre, Mihail Zervos, Xianping Guo, Mark Edward Lewis, Xi‐Ren Cao, Qiying Hu, José‐Luis Menaldi and Quanxin Zhu and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Mathematical Analysis and Applications and Systems & Control Letters.

In The Last Decade

Co-authorship network of co-authors of Tomás Prieto-Rumeau i

Fields of papers citing papers by Tomás Prieto-Rumeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomás Prieto-Rumeau. 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 Tomás Prieto-Rumeau. The network helps show where Tomás Prieto-Rumeau may publish in the future.

Countries citing papers authored by Tomás Prieto-Rumeau

Since Specialization
Citations

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