Milan Studený

44 papers and 444 indexed citations i.

About

Milan Studený is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Milan Studený has authored 44 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 10 papers in Management Science and Operations Research. Recurrent topics in Milan Studený’s work include Bayesian Modeling and Causal Inference (30 papers), Rough Sets and Fuzzy Logic (10 papers) and Multi-Criteria Decision Making (9 papers). Milan Studený is often cited by papers focused on Bayesian Modeling and Causal Inference (30 papers), Rough Sets and Fuzzy Logic (10 papers) and Multi-Criteria Decision Making (9 papers). Milan Studený collaborates with scholars based in Czechia, United States and United Kingdom. Milan Studený's co-authors include Remco Bouckaert, Francesco M. Malvestuto, Raymond Hemmecke, Jiří Vomlel, František Matúš, Alberto Roverato, David Haws, James Cussens, Jana Zvárová and Tomáš Kroupa and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Milan Studený i

Fields of papers citing papers by Milan Studený

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Milan Studený

Since Specialization
Citations

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