Fabrice Muhlenbach

433 total citations
14 papers, 141 citations indexed

About

Fabrice Muhlenbach is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fabrice Muhlenbach has authored 14 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fabrice Muhlenbach's work include Topic Modeling (3 papers), Data Mining Algorithms and Applications (3 papers) and Machine Learning and Algorithms (2 papers). Fabrice Muhlenbach is often cited by papers focused on Topic Modeling (3 papers), Data Mining Algorithms and Applications (3 papers) and Machine Learning and Algorithms (2 papers). Fabrice Muhlenbach collaborates with scholars based in France, Canada and United States. Fabrice Muhlenbach's co-authors include Stéphane Lallich, Djamel A. Zighed, Ricco Rakotomalala, Alexis Buettgen, Jean-Louis Dessalles, Pierre Maret, Christo El Morr, Enakshi Dua, Guillaume Lopez and Dennis Diefenbach and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Journal of Intelligent Information Systems.

In The Last Decade

Fabrice Muhlenbach

12 papers receiving 137 citations

Peers

Fabrice Muhlenbach
Comparison fields: 5 of 67
  • Artificial Intelligence 98
  • Computer Vision and Pattern Recognition 38
  • Molecular Biology 14
  • Information Systems 12
  • Signal Processing 6
Replace Koustuv Sinha with:
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Daniel Hesslow France
Michel Crampes France
Jinheon Baek South Korea
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Ales Kubicek Switzerland
Piotr Nyczyk Switzerland
Tagyoung Chung United States
P J Antony India
Xiang Kong United States
Koustuv Sinha Canada View profile →
Citations per field, relative to Fabrice Muhlenbach
Fabrice Muhlenbach · 1×
Citations per year, relative to Fabrice Muhlenbach
Fabrice Muhlenbach · 1×

Countries citing papers authored by Fabrice Muhlenbach

Since Specialization
Citations

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

Fields of papers citing papers by Fabrice Muhlenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Muhlenbach

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Muhlenbach. A scholar is included among the top collaborators of Fabrice Muhlenbach 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 Fabrice Muhlenbach. Fabrice Muhlenbach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 10
3 4
4 8
5 3
6
Computing the Semantic Relatedness of Music Genre using Semantic Web Data.
0
7 1
8 1
9 10
10 6
11 88
12
Traitement des exemples atypiques en apprentissage par la régression.
1
13 7
14
UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 ECOLE DES HAUTES ETUDES EN SCIENCES SOCIALES UNIVERSITE PAUL SABATIER - TOULOUSE 3 ECOLE POLYTECHNIQUE
1

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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