Marek Petrik

40 papers and 288 indexed citations i.

About

Marek Petrik is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Marek Petrik has authored 40 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Management Science and Operations Research and 8 papers in Computational Theory and Mathematics. Recurrent topics in Marek Petrik’s work include Reinforcement Learning in Robotics (14 papers), Machine Learning and Algorithms (6 papers) and Risk and Portfolio Optimization (5 papers). Marek Petrik is often cited by papers focused on Reinforcement Learning in Robotics (14 papers), Machine Learning and Algorithms (6 papers) and Risk and Portfolio Optimization (5 papers). Marek Petrik collaborates with scholars based in United States, Germany and Hong Kong. Marek Petrik's co-authors include Shlomo Zilberstein, Dharmashankar Subramanian, Gavin Taylor, Dan A. Iancu, Ronald Parr, Markus Ettl, Sridhar Mahadevan, Francisco Barahona, Wolfram Wiesemann and Weiwei Mo and has published in prestigious journals such as Journal of Cleaner Production, Machine Learning and Journal of Machine Learning Research.

In The Last Decade

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

Fields of papers citing papers by Marek Petrik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marek Petrik

Since Specialization
Citations

This map shows the geographic impact of Marek Petrik'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 Petrik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Petrik 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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2025