Miroslav Kubát

About

Miroslav Kubát is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Miroslav Kubát has authored 76 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 18 papers in Information Systems and 14 papers in Computational Theory and Mathematics. Recurrent topics in Miroslav Kubát’s work include Data Mining Algorithms and Applications (13 papers), Rough Sets and Fuzzy Logic (13 papers) and Imbalanced Data Classification Techniques (11 papers). Miroslav Kubát is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Rough Sets and Fuzzy Logic (13 papers) and Imbalanced Data Classification Techniques (11 papers). Miroslav Kubát collaborates with scholars based in United States, Czechia and Austria. Miroslav Kubát's co-authors include Stan Matwin, Gerhard Widmer, Robert C. Holte, Nooshin Nabizadeh, Kanoksri Sarinnapakorn, Peerapon Vateekul, Johannes Fürnkranz, Abdulaziz Al‐Ali, Doris Flotzinger and Kamal Premaratne and has published in prestigious journals such as Expert Systems with Applications, Artificial Intelligence and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Miroslav Kubát i

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Fields of papers citing papers by Miroslav Kubát

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miroslav Kubát

Since Specialization

Citations

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