Laurence Danlos

144 total papers · 966 total citations
64 papers, 379 citations indexed

About

Laurence Danlos is a scholar working on Artificial Intelligence, Language and Linguistics and Philosophy. According to data from OpenAlex, Laurence Danlos has authored 64 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 28 papers in Language and Linguistics and 27 papers in Philosophy. Recurrent topics in Laurence Danlos's work include Natural Language Processing Techniques (49 papers), Linguistics and Discourse Analysis (27 papers) and Speech and dialogue systems (17 papers). Laurence Danlos is often cited by papers focused on Natural Language Processing Techniques (49 papers), Linguistics and Discourse Analysis (27 papers) and Speech and dialogue systems (17 papers). Laurence Danlos collaborates with scholars based in France, Canada and United States. Laurence Danlos's co-authors include Philippe Müller, Benoît Sagot, Pascal Denis, Fiammetta Namer, Manfred Stede, Laurent Roussarie, Guy Lapalme, Frédéric Meunier, Owen Rambow and Éric Laporte and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language and Annals of Telecommunications.

In The Last Decade

Laurence Danlos

60 papers receiving 315 citations

Author Peers

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

Author Last Decade Papers Cites
Laurence Danlos 297 128 71 32 18 64 379
Markus Egg 264 0.9× 129 1.0× 29 0.4× 52 1.6× 23 1.3× 52 372
Rodger Kibble 325 1.1× 118 0.9× 33 0.5× 68 2.1× 17 0.9× 24 405
Antonio Moreno Sandoval 243 0.8× 91 0.7× 16 0.2× 49 1.5× 14 0.8× 50 368
Megumi Kameyama 362 1.2× 112 0.9× 14 0.2× 47 1.5× 8 0.4× 21 443
Patrick Saint‐Dizier 369 1.2× 71 0.6× 21 0.3× 29 0.9× 12 0.7× 75 442
Christopher Culy 182 0.6× 250 2.0× 49 0.7× 89 2.8× 15 0.8× 17 367
Anneke Neijt 260 0.9× 157 1.2× 27 0.4× 84 2.6× 6 0.3× 45 378
Archna Bhatia 312 1.1× 87 0.7× 11 0.2× 41 1.3× 6 0.3× 26 413
Stella Neumann 217 0.7× 231 1.8× 18 0.3× 67 2.1× 64 3.6× 41 357
Volker Gast 114 0.4× 268 2.1× 32 0.5× 97 3.0× 38 2.1× 43 384

Countries citing papers authored by Laurence Danlos

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Danlos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence Danlos

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