Milan Straka

22 papers and 532 indexed citations i.

About

Milan Straka is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Milan Straka has authored 22 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Control and Systems Engineering. Recurrent topics in Milan Straka’s work include Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers) and Text Readability and Simplification (12 papers). Milan Straka is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers) and Text Readability and Simplification (12 papers). Milan Straka collaborates with scholars based in Czechia, United States and Norway. Milan Straka's co-authors include Jana Straková, Jan Hajič, Dan Kondratyuk, David Mareček, Tomáš Gavenčiak, Daniel Hershcovich, Nianwen Xue, Tim O’Gorman, Marco Kuhlmann and Zdeňka Urešová and has published in prestigious journals such as Transportation, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

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

Fields of papers citing papers by Milan Straka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Milan Straka

Since Specialization
Citations

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