Riad Akrour

About

Riad Akrour is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Riad Akrour has authored 14 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Control and Systems Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in Riad Akrour’s work include Reinforcement Learning in Robotics (10 papers), Robot Manipulation and Learning (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Riad Akrour is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Robot Manipulation and Learning (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Riad Akrour collaborates with scholars based in Germany, United Kingdom and Finland. Riad Akrour's co-authors include Jan Peters, Gerhard Neumann, Joni Pajarinen, Filipe Veiga, Christian Wirth, Johannes Fürnkranz, Marc Schoenauer, Michèle Sébag, Robert Pinsler and Takayuki Osa and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Learning and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Riad Akrour i

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Fields of papers citing papers by Riad Akrour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Riad Akrour

Since Specialization

Citations

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