Milan Straka

118 total papers · 2.9k total citations
32 papers, 1.2k citations indexed

About

Milan Straka is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Milan Straka has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Computer Networks and Communications. Recurrent topics in Milan Straka's work include Natural Language Processing Techniques (26 papers), Topic Modeling (18 papers) and Text Readability and Simplification (14 papers). Milan Straka is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (18 papers) and Text Readability and Simplification (14 papers). Milan Straka collaborates with scholars based in Czechia, United States and Sweden. Milan Straka's co-authors include Jana Straková, Jan Hajič, Dan Kondratyuk, Filip Ginter, Daniel Zeman, Joakim Nivre, Slav Petrov, Martin Popel, Martin Potthast and David Mareček and has published in prestigious journals such as Transportation, Language Resources and Evaluation and Research at the University of Copenhagen (University of Copenhagen).

In The Last Decade

Milan Straka

27 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Milan Straka 1.1k 91 83 67 64 32 1.2k
Micha Elsner 781 0.7× 66 0.7× 103 1.2× 28 0.4× 27 0.4× 46 919
Claire Gardent 1.1k 1.1× 140 1.5× 105 1.3× 92 1.4× 42 0.7× 110 1.3k
Germán Kruszewski 940 0.9× 110 1.2× 90 1.1× 37 0.6× 21 0.3× 14 1.1k
Georgiana Dinu 1.1k 1.1× 139 1.5× 80 1.0× 37 0.6× 27 0.4× 28 1.3k
Mark Dras 1.0k 1.0× 63 0.7× 76 0.9× 97 1.4× 37 0.6× 123 1.2k
Magnus Sahlgren 959 0.9× 129 1.4× 132 1.6× 53 0.8× 20 0.3× 68 1.2k
Reut Tsarfaty 1.1k 1.0× 122 1.3× 66 0.8× 62 0.9× 16 0.3× 55 1.2k
Claire Bonial 1.0k 1.0× 126 1.4× 75 0.9× 55 0.8× 18 0.3× 47 1.1k
Caroline Sporleder 1.0k 0.9× 95 1.0× 123 1.5× 77 1.1× 24 0.4× 57 1.2k
Carina Silberer 1.1k 1.0× 243 2.7× 180 2.2× 31 0.5× 54 0.8× 20 1.4k

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).

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.

Co-authorship network of co-authors of Milan Straka

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Straka. A scholar is included among the top collaborators of Milan Straka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Milan Straka. Milan Straka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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