Benoı̂t Fabre

41 papers receiving 426 citations

Peers

Benoı̂t Fabre
Comparison fields: 5 of 65
  • Developmental Biology 48
  • Signal Processing 137
  • Computer Vision and Pattern Recognition 250
  • Cognitive Neuroscience 98
  • Music 17
Replace J.-P. Dalmont with:
J.-P. Dalmont France
Xavier Pelorson France
Carlo Drioli Italy
Yin Cao China
A. H. Benade United States
Ricard Marxer France
Robert C. Maher United States
Damian Murphy United Kingdom
Jean-Pierre Dalmont France
Peter Jančovič United Kingdom
Benoı̂t Fabre relative to J.-P. Dalmont France J.-P. Dalmont's profile →
Citations per field
00.5×3.4×
J.-P. Dalmont · 1×
Citations per year

Countries citing papers authored by Benoı̂t Fabre

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Fabre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoı̂t Fabre, 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 Benoı̂t Fabre Line = papers co-authored together Benoı̂t Fabre 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 201156
2 201346
3
Physical modeling of flue instruments : A review of lumped models
200042
4 199739
5
Experimental study of the influence of the mouth geometry on sound production in a recorder-like instrument : windway length and chamfers
200027
6 201425
7 201323
8 201520
9 201219
10 201215
11 201715
12 200810
13 20139
14 20149
15 20159
16 20148
17 20138
18 20157
19 20176
20 20106

About Benoı̂t Fabre

Benoı̂t Fabre is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Statistical and Nonlinear Physics and Music, having authored 44 papers that have together received 459 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (36 papers), Music and Audio Processing (22 papers), Neuroscience and Music Perception (9 papers), Speech and Audio Processing (5 papers), Experimental and Theoretical Physics Studies (5 papers), Acoustic Wave Phenomena Research (4 papers), Aerodynamics and Acoustics in Jet Flows (3 papers) and Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in Developmental Biology (48 citations), Signal Processing (137 citations), Computer Vision and Pattern Recognition (250 citations), Cognitive Neuroscience (98 citations) and Music (17 citations). Benoı̂t Fabre has collaborated with scholars based in France, Chile and Netherlands. Frequent co-authors include A. Hirschberg, Joël Gilbert, Xavier Pelorson, Christophe Vergez, A. P. J. Wijnands, Pierre‐Yves Lagrée, A. Hirschberg, Joy S. Reidenberg, Jeffrey T. Laitman and Olivier Adam. Their work appears in journals such as The Journal of the Acoustical Society of America, Acta acustica united with Acustica, Applied Acoustics, Journal of Sound and Vibration and Annual Review of Fluid Mechanics.

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.

Explore authors with similar magnitude of impact