Frank Van Eynde

164 total papers · 1.0k total citations
83 papers, 480 citations indexed

About

Frank Van Eynde is a scholar working on Artificial Intelligence, Language and Linguistics and Philosophy. According to data from OpenAlex, Frank Van Eynde has authored 83 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 42 papers in Language and Linguistics and 5 papers in Philosophy. Recurrent topics in Frank Van Eynde's work include Natural Language Processing Techniques (54 papers), Syntax, Semantics, Linguistic Variation (29 papers) and Lexicography and Language Studies (12 papers). Frank Van Eynde is often cited by papers focused on Natural Language Processing Techniques (54 papers), Syntax, Semantics, Linguistic Variation (29 papers) and Lexicography and Language Studies (12 papers). Frank Van Eynde collaborates with scholars based in Belgium, Germany and South Korea. Frank Van Eynde's co-authors include Vincent Vandeghinste, Louis Boves, R. Harald Baayen, Michael Moortgat, Jean‐Pierre Martens, Nelleke Oostdijk, Dafydd Gibbon, Ineke Schuurman, Walter Daelemans and Jakub Zavrel and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Lingua.

In The Last Decade

Frank Van Eynde

65 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Frank Van Eynde 362 236 78 48 28 83 480
Alexis Michaud 228 0.6× 185 0.8× 346 4.4× 241 5.0× 44 1.6× 67 548
Jacqueline Vaissière 190 0.5× 74 0.3× 311 4.0× 133 2.8× 69 2.5× 63 486
Michael Moortgat 382 1.1× 157 0.7× 74 0.9× 41 0.9× 22 0.8× 30 524
Hideki Kishimoto 172 0.5× 282 1.2× 94 1.2× 58 1.2× 45 471
James Thorne 278 0.8× 132 0.6× 72 0.9× 28 0.6× 24 0.9× 27 487
Mohamed Maamouri 352 1.0× 92 0.4× 16 0.2× 39 0.8× 7 0.3× 33 477
Rodolfo Delmonte 462 1.3× 69 0.3× 106 1.4× 23 0.5× 38 1.4× 144 543
Charles J. Bailey 71 0.2× 206 0.9× 134 1.7× 145 3.0× 3 0.1× 24 426
Benoît Sagot 482 1.3× 113 0.5× 27 0.3× 29 0.6× 20 0.7× 83 534
Vito Pirrelli 310 0.9× 91 0.4× 61 0.8× 20 0.4× 8 0.3× 72 419

Countries citing papers authored by Frank Van Eynde

Since Specialization
Citations

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

Fields of papers citing papers by Frank Van Eynde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Van Eynde. 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 Frank Van Eynde. The network helps show where Frank Van Eynde may publish in the future.

Co-authorship network of co-authors of Frank Van Eynde

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Van Eynde. A scholar is included among the top collaborators of Frank Van Eynde 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 Frank Van Eynde. Frank Van Eynde 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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