Michel Buffa

1.0k citations
44 papers · 413 · h-index 11

Impact in

Papers in

Michel Buffa

37 papers receiving 371 citations

Peers

Michel Buffa
Comparison fields: 5 of 80
  • Communication 50
  • Information Systems 148
  • Computer Science Applications 36
  • Artificial Intelligence 185
  • Statistical and Nonlinear Physics 54
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Amel Bouzeghoub France
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Citations per year

Countries citing papers authored by Michel Buffa

Since Specialization
Citations

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

Fields of papers citing papers by Michel Buffa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michel Buffa, 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 Michel Buffa Line = papers co-authored together Michel Buffa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007111
2 200960
3 200228
4 201125
5 201123
6 201522
7
Using a Semantic Wiki in Communities of Practice
200818
8 200218
9 202016
10 200611
11 201210
12 20029
13 20217
14 20227
15 19926
16
Sémantique des folksonomies: structuration collaborative et assistée
20094
17
A Complete Navigation System for a Mobile Robot, Using Real-Time Stereovision and the Delaunay Triangulation.
19923
18 20223
19 20133
20 20233

About Michel Buffa

Michel Buffa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Communication and Signal Processing, having authored 44 papers that have together received 413 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Music Technology and Sound Studies (8 papers), Wikis in Education and Collaboration (7 papers), Music and Audio Processing (7 papers), Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (5 papers), Service-Oriented Architecture and Web Services (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Communication (50 citations), Information Systems (148 citations), Computer Science Applications (36 citations), Artificial Intelligence (185 citations) and Statistical and Nonlinear Physics (54 citations). Michel Buffa has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Fabien Gandon, Guillaume Erétéo, Catherine Faron Zucker, Peter Sander, Olivier Corby, Laurent Robert, Martial Hebert, Olivier Faugeras, M. Castillo and B. Güamis. Their work appears in journals such as Journal of the Audio Engineering Society, Journal of Web Semantics, Postharvest Biology and Technology, Language Resources and Evaluation and Machine Vision and Applications.

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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