Daniel Průša

16 papers and 107 indexed citations i.

About

Daniel Průša is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Daniel Průša has authored 16 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Daniel Průša’s work include DNA and Biological Computing (5 papers), semigroups and automata theory (4 papers) and Cellular Automata and Applications (4 papers). Daniel Průša is often cited by papers focused on DNA and Biological Computing (5 papers), semigroups and automata theory (4 papers) and Cellular Automata and Applications (4 papers). Daniel Průša collaborates with scholars based in Czechia, France and Germany. Daniel Průša's co-authors include Václav Hlaváč, Tomáš Werner, Pavel Kršek, František Mráz, Vojtěch Franc, Giovanni Pighizzini and Friedrich Otto and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Optimization and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Daniel Průša i

Fields of papers citing papers by Daniel Průša

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Průša

Since Specialization
Citations

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