Benoit Lavoie

614 citations
14 papers · 386 · h-index 9

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • Semantic Web and Ontologies
    • Advanced Software Engineering Methodologies

Papers in

    • Natural Language Processing Techniques 7
    • Topic Modeling 6
    • Semantic Web and Ontologies 4
    • Speech and dialogue systems 3
    • Service-Oriented Architecture and Web Services 2
    • Software Engineering Research 2

Benoit Lavoie

13 papers receiving 331 citations

Peers

Benoit Lavoie
Comparison fields: 5 of 42
  • Software 71
  • Artificial Intelligence 322
  • Information Systems 133
  • Management Information Systems 25
  • Computer Science Applications 6
Replace Niyu Ge with:
Niyu Ge United States
Américo Sampaio Brazil
Raúl Mazo France
Soon-Kyeong Kim Australia
Ömer Özgür Tanrıöver Türkiye
Bernd Neumayr Austria
Birgit Demuth Germany
Isaac Persing United States
Jaime Font Spain
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Citations per field
00.5×3.6×
Niyu Ge · 1×
Citations per year

Countries citing papers authored by Benoit Lavoie

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Lavoie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Benoit Lavoie, 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 Benoit Lavoie Line = papers co-authored together Benoit Lavoie links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1997138
2 200199
3 199245
4 200419
5 199717
6
A NEW APPROACH TO EXPERT SYSTEM EXPLANATIONS
199816
7
The ModelExplainer
199615
8 200012
9 200110
10 20026
11 19984
12 20073
13
4.4 METEOCOGENT: A KNOWLEDGE-BASED TOOL FOR GENERATING WEATHER FORECAST TEXTS
19992
14
MOQA: meaning-oriented question-answering
20040

About Benoit Lavoie

Benoit Lavoie is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Computer Vision and Pattern Recognition and Software, having authored 14 papers that have together received 386 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Semantic Web and Ontologies (4 papers), Speech and dialogue systems (3 papers), Model-Driven Software Engineering Techniques (2 papers), Service-Oriented Architecture and Web Services (2 papers), Multimedia Communication and Technology (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Software (71 citations), Artificial Intelligence (322 citations), Information Systems (133 citations), Management Information Systems (25 citations) and Computer Science Applications (6 citations). Benoit Lavoie has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Owen Rambow, Scott P. Overmyer, Tanya Korelsky, Richard Kittredge, Ehud Reiter, Lidija Iordanskaja, Alain Polguère, Michael White, Marjorie McShane and Sergei Nirenburg. Their work appears in journals such as The COCOON platform (University of Paris) and Defense Technical Information Center (DTIC).

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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