Harm van Seijen

16 papers and 144 indexed citations i.

About

Harm van Seijen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Harm van Seijen has authored 16 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Harm van Seijen’s work include Reinforcement Learning in Robotics (11 papers), Evolutionary Algorithms and Applications (7 papers) and Machine Learning and Algorithms (2 papers). Harm van Seijen is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Evolutionary Algorithms and Applications (7 papers) and Machine Learning and Algorithms (2 papers). Harm van Seijen collaborates with scholars based in Canada, United States and United Kingdom. Harm van Seijen's co-authors include Richard S. Sutton, Romain Laroche, Mehdi Fatemi, Joshua Romoff, Patrick M. Pilarski, Marlos C. Machado, Shimon Whiteson, Hado van Hasselt, Leon Kester and Vivek Veeriah and has published in prestigious journals such as Journal of Machine Learning Research, Computational Intelligence and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Harm van Seijen i

Fields of papers citing papers by Harm van Seijen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harm van Seijen. 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 Harm van Seijen. The network helps show where Harm van Seijen may publish in the future.

Countries citing papers authored by Harm van Seijen

Since Specialization
Citations

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