Petr Sgall

204 total papers · 2.6k total citations
70 papers, 997 citations indexed

About

Petr Sgall is a scholar working on Artificial Intelligence, Language and Linguistics and Cultural Studies. According to data from OpenAlex, Petr Sgall has authored 70 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 31 papers in Language and Linguistics and 4 papers in Cultural Studies. Recurrent topics in Petr Sgall's work include Natural Language Processing Techniques (29 papers), Syntax, Semantics, Linguistic Variation (10 papers) and Linguistic research and analysis (9 papers). Petr Sgall is often cited by papers focused on Natural Language Processing Techniques (29 papers), Syntax, Semantics, Linguistic Variation (10 papers) and Linguistic research and analysis (9 papers). Petr Sgall collaborates with scholars based in Czechia, United States and France. Petr Sgall's co-authors include Eva Hajičová, Jarmila Panevová, Barbara H. Partee, Martin Plátek, Československá akademie věd, Zdeněk Žabokrtský, Jan Štěpánek, Jan Hajič, Petr Pajas and Ladislav Nebeský and has published in prestigious journals such as Language, Journal of Pragmatics and Computational Linguistics.

In The Last Decade

Petr Sgall

53 papers receiving 676 citations

Author Peers

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

Author Last Decade Papers Cites
Petr Sgall 711 433 145 69 58 70 997
Erhard Hinrichs 871 1.2× 447 1.0× 163 1.1× 38 0.6× 78 1.3× 92 1.1k
Anne Abeillé 754 1.1× 516 1.2× 107 0.7× 86 1.2× 201 3.5× 97 1.1k
Antonio Zampollí 724 1.0× 239 0.6× 97 0.7× 37 0.5× 34 0.6× 40 1.0k
András Kornai 613 0.9× 179 0.4× 78 0.5× 73 1.1× 17 0.3× 75 1.0k
Lou Burnard 529 0.7× 238 0.5× 48 0.3× 54 0.8× 24 0.4× 43 851
Michael Cysouw 455 0.6× 520 1.2× 217 1.5× 25 0.4× 34 0.6× 55 1.0k
Pranav Anand 679 1.0× 275 0.6× 135 0.9× 25 0.4× 101 1.7× 43 993
John T. Maxwell 770 1.1× 179 0.4× 50 0.3× 44 0.6× 22 0.4× 21 825
Stefan Evert 936 1.3× 283 0.7× 94 0.6× 20 0.3× 16 0.3× 73 1.2k
Harold Somers 965 1.4× 281 0.6× 51 0.4× 37 0.5× 24 0.4× 65 1.2k

Countries citing papers authored by Petr Sgall

Since Specialization
Citations

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

Fields of papers citing papers by Petr Sgall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Sgall

This figure shows the co-authorship network connecting the top 25 collaborators of Petr Sgall. A scholar is included among the top collaborators of Petr Sgall 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 Petr Sgall. Petr Sgall 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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