Bruno Guillaume

638 citations
25 papers · 103 indexed · h-index 7

Bruno Guillaume

20 papers receiving 89 citations

Peers

Bruno Guillaume
Comparison fields: 5 of 19
  • Artificial Intelligence 99
  • Language and Linguistics 20
  • Computational Theory and Mathematics 28
  • Software 4
  • Linguistics and Language 4
Replace Jürgen Wedekind with:
Jürgen Wedekind United States
Pierre Boullier France
Richard Moot France
Ingrid Falk France
Shachi Dave United States
Мati Pentus Russia
Christoph Haase United Kingdom
Marcel Bollmann Germany
Elliott Macklovitch Canada
Bruno Guillaume relative to Jürgen Wedekind United States Jürgen Wedekind's profile →
Citations per field
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Jürgen Wedekind · 1×
Citations per year

Countries citing papers authored by Bruno Guillaume

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Guillaume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Bruno Guillaume, 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 Bruno Guillaume Line = papers co-authored together Bruno Guillaume links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20211
3 20197
4 20133
5
Modular graph rewriting to compute semantics
20114
6 20090
7
Analyse en dépendances à l'aide des grammaires d'interaction
20092
8 20097
9 20091
10
A Toolchain for Grammarians
20081
11
PrepLex : un lexique des prépositions du français pour l'analyse syntaxique
20073
12 20071
13
Le lexique-grammaire de M. Gross et le traitement automatique des langues
20050
14
Maurice Gross' grammar lexicon and Natural Language Processing
20059
15
Extracting subcategorisation information from Maurice Gross' grammar lexicon
20054
16 200413
17
Analyse syntaxique électrostatique
20035
18 200117
19 20008
20 19992

About Bruno Guillaume

Bruno Guillaume is a scholar working on Artificial Intelligence, Linguistics and Language and Philosophy, having authored 25 papers that have together received 103 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (9 papers), Logic, programming, and type systems (8 papers), Linguistics and Discourse Analysis (7 papers), Speech and dialogue systems (4 papers), semigroups and automata theory (3 papers), Lexicography and Language Studies (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (99 citations), Language and Linguistics (20 citations) and Computational Theory and Mathematics (28 citations). Bruno Guillaume has collaborated with scholars based in France and United States. Frequent co-authors include Guy Perrier, Guillaume Bonfante, René David, Ingrid Falk, Claire Gardent, Philippe de Groote, Sylvain Salvati, Karën Fort, Kim Gerdes and Sylvain Kahane. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Functional Programming and Mathematical Structures in Computer Science.

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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