Marek Grześ

28 papers and 313 indexed citations i.

About

Marek Grześ is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Marek Grześ has authored 28 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Marek Grześ’s work include Reinforcement Learning in Robotics (12 papers), Machine Learning and Algorithms (7 papers) and Formal Methods in Verification (4 papers). Marek Grześ is often cited by papers focused on Reinforcement Learning in Robotics (12 papers), Machine Learning and Algorithms (7 papers) and Formal Methods in Verification (4 papers). Marek Grześ collaborates with scholars based in United Kingdom, Canada and United States. Marek Grześ's co-authors include Daniel Kudenko⋆, Marek Krętowski, Sam Devlin, Jesse Hoey, Mark Roberts, Lukáš Chrpa, Marcin Czajkowski, Scott Sanner, Mauro Vallati and T.L. McCluskey and has published in prestigious journals such as IEEE Transactions on Cybernetics, Neural Computation and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Marek Grześ i

Fields of papers citing papers by Marek Grześ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marek Grześ

Since Specialization
Citations

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