Fabrice Lefèvre

1.5k total citations
67 papers, 846 citations indexed

About

Fabrice Lefèvre is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Fabrice Lefèvre has authored 67 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 14 papers in Molecular Biology and 7 papers in Signal Processing. Recurrent topics in Fabrice Lefèvre's work include Speech and dialogue systems (28 papers), Topic Modeling (22 papers) and Natural Language Processing Techniques (18 papers). Fabrice Lefèvre is often cited by papers focused on Speech and dialogue systems (28 papers), Topic Modeling (22 papers) and Natural Language Processing Techniques (18 papers). Fabrice Lefèvre collaborates with scholars based in France, Switzerland and United Kingdom. Fabrice Lefèvre's co-authors include Julien Tap, Denis Wahler, Antonietta Cultrone, Hervé M. Blottière, Joël Doré, Omar Lakhdari, Serge S. Colson, Jean‐Louis Reymond, Lori Lamel and Jean‐Michel Masson and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Fabrice Lefèvre

63 papers receiving 806 citations

Peers

Fabrice Lefèvre
Comparison fields: 5 of 125
  • Molecular Biology 347
  • Artificial Intelligence 242
  • Biomedical Engineering 95
  • Surgery 67
  • Food Science 57
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Hongli Yan China
Somayeh Sadeghi Iran
Xiaofei Tang China
Cheng Shen China
Sheng Sun China
Heejin Kim United States
Seulki Park South Korea
Chang‐Seo Park South Korea
Harjeet Kaur India
Xihong Wang China
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Citations per field, relative to Fabrice Lefèvre
Fabrice Lefèvre · 1×
Citations per year, relative to Fabrice Lefèvre
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Countries citing papers authored by Fabrice Lefèvre

Since Specialization
Citations

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

Fields of papers citing papers by Fabrice Lefèvre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Lefèvre

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 63
4 45
5 4
6 61
7 75
8
Système du LIA pour a campagne DEFT'10 : datation et localisation d'articles de presse francophones
0
9 4
10
k-Nearest Neighbor Monte-Carlo Control Algorithm for POMDP-based Dialogue Systems
1
11 35
12 1
13
Annotation en Frames Sémantiques du corpus de dialogue MEDIA.
1
14 10
15
The 2004 BBN/LIMSI 10xRT English Broadcast News Transcription System
10
16 0
17 7
18 5
19 51
20 36

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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