Benoît Habert

51 papers receiving 361 citations

Peers

Benoît Habert
Comparison fields: 5 of 61
  • Radiation 107
  • Language and Linguistics 116
  • Philosophy 97
  • Linguistics and Language 37
  • Artificial Intelligence 205
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Pierre Guiraud Chile
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Citations per year

Countries citing papers authored by Benoît Habert

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Habert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoît Habert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoît Habert Line = papers co-authored together Benoît Habert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199664
2 201029
3
Benoît Habert, Adeline Nazarenko, André Salem, Les linguistiques de corpus. Armand Colin, Paris, 1997
199826
4 200925
5 199821
6
Building a text corpus for representing the variety of medical language.
200121
7 200721
8 198919
9 199618
10
Instruments et ressources électroniques pour le français
200517
11
Corpus-based identification and refinement of semantic classes.
199716
12 201213
13 201812
14
A disfluency study for cleaning spontaneous speech automatic transcripts and improving speech language models
200310
15 19878
16 20108
17 19987
18 20027
19 19876
20 20116

About Benoît Habert

Benoît Habert is a scholar working on Artificial Intelligence, Philosophy, Language and Linguistics, Linguistics and Language and Aerospace Engineering, having authored 58 papers that have together received 441 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Linguistics and Discourse Analysis (18 papers), French Language Learning Methods (10 papers), Nuclear reactor physics and engineering (9 papers), Nuclear Physics and Applications (8 papers), linguistics and terminology studies (5 papers), Lexicography and Language Studies (5 papers) and Nuclear Materials and Properties (4 papers). The work is most often cited by research in Radiation (107 citations), Language and Linguistics (116 citations), Philosophy (97 citations), Linguistics and Language (37 citations) and Artificial Intelligence (205 citations). Benoît Habert has collaborated with scholars based in France, Burundi and Belgium. Frequent co-authors include G. Noguère, C. De Saint Jean, Adeline Nazarenko, Béatrice Daille, Christian Jacquemin, André Salem, Gabriel Illouz, P. Archier, Gilles Adda and Pierre Zweigenbaum. Their work appears in journals such as Language Resources and Evaluation, Nuclear Science and Engineering, Terminology International Journal of Theoretical and Applied Issues in Specialized Communication, Nuclear Data Sheets and Journal of the Korean Physical Society.

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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