Emmanuel Ponsot

432 total citations
23 papers, 238 citations indexed

About

Emmanuel Ponsot is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Speech and Hearing. According to data from OpenAlex, Emmanuel Ponsot has authored 23 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 9 papers in Experimental and Cognitive Psychology and 8 papers in Speech and Hearing. Recurrent topics in Emmanuel Ponsot's work include Neuroscience and Music Perception (15 papers), Hearing Loss and Rehabilitation (11 papers) and Noise Effects and Management (8 papers). Emmanuel Ponsot is often cited by papers focused on Neuroscience and Music Perception (15 papers), Hearing Loss and Rehabilitation (11 papers) and Noise Effects and Management (8 papers). Emmanuel Ponsot collaborates with scholars based in France, United States and Belgium. Emmanuel Ponsot's co-authors include Jean‐Julien Aucouturier, Juan José Burred, Pascal Belin, Patrick Susini, Louise Goupil, Alexandre Kempf, Brice Bathellier, Thomas Deneux, Daniel C. Richardson and Sabine Meunier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Emmanuel Ponsot

20 papers receiving 237 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emmanuel Ponsot France 9 183 94 38 36 29 23 238
Malinda J. McPherson United States 9 260 1.4× 98 1.0× 85 2.2× 45 1.3× 21 0.7× 12 301
Max Siegel United States 6 229 1.3× 146 1.6× 77 2.0× 31 0.9× 38 1.3× 15 351
Kevin J. P. Woods United States 4 278 1.5× 175 1.9× 108 2.8× 33 0.9× 52 1.8× 5 384
Roberta Bianco United Kingdom 12 363 2.0× 101 1.1× 91 2.4× 67 1.9× 26 0.9× 29 435
Verena G. Skuk Germany 12 250 1.4× 234 2.5× 120 3.2× 50 1.4× 12 0.4× 16 439
Daniel McCloy United States 8 152 0.8× 103 1.1× 65 1.7× 10 0.3× 36 1.2× 23 288
Melanie Wald‐Fuhrmann Germany 12 299 1.6× 118 1.3× 65 1.7× 157 4.4× 11 0.4× 41 401
Lauren V. Hadley United Kingdom 11 225 1.2× 123 1.3× 32 0.8× 112 3.1× 36 1.2× 28 331
Peter M. C. Harrison United Kingdom 13 472 2.6× 165 1.8× 148 3.9× 121 3.4× 17 0.6× 36 575
Alexandria C. Zakrzewski United States 12 181 1.0× 52 0.6× 19 0.5× 61 1.7× 8 0.3× 26 293

Countries citing papers authored by Emmanuel Ponsot

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Ponsot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Ponsot

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Ponsot. A scholar is included among the top collaborators of Emmanuel Ponsot 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 Emmanuel Ponsot. Emmanuel Ponsot 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
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Susini, Patrick, et al.. (2025). Covert variations of a musician’s loudness during collective improvisation capture other musicians’ attention and impact their interactions. Proceedings of the Royal Society B Biological Sciences. 292(2039). 20242623–20242623. 1 indexed citations
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Susini, Patrick, et al.. (2024). Listening Behaviors and Musical Coordination in Collective Free Improvisation. Music & Science. 7. 1 indexed citations
5.
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Susini, Patrick, et al.. (2023). Psychophysical characterization of auditory temporal and frequency streaming capacities for listeners with different levels of musical expertise. SHILAP Revista de lepidopterología. 3(8). 1 indexed citations
7.
Ponsot, Emmanuel, et al.. (2021). Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners. Trends in Hearing. 25. 2761989741–2761989741. 5 indexed citations
8.
Goupil, Louise, Emmanuel Ponsot, Daniel C. Richardson, Gabriel Reyes, & Jean‐Julien Aucouturier. (2021). Listeners’ perceptions of the certainty and honesty of a speaker are associated with a common prosodic signature. Nature Communications. 12(1). 861–861. 34 indexed citations
9.
Varnet, Léo, et al.. (2021). Double-pass consistency for amplitude- and frequency-modulation detection in normal-hearing listeners. The Journal of the Acoustical Society of America. 150(5). 3631–3647. 1 indexed citations
10.
Susini, Patrick, et al.. (2020). Auditory local-global temporal processing: Evidence for perceptual reorganization with musical expertise. PsyArXiv (OSF Preprints). 1 indexed citations
11.
Ponsot, Emmanuel, et al.. (2020). Sound context modulates perceived vocal emotion. Behavioural Processes. 172. 104042–104042. 8 indexed citations
12.
Susini, Patrick, et al.. (2020). Auditory local–global temporal processing: evidence for perceptual reorganization with musical expertise. Scientific Reports. 10(1). 16390–16390. 5 indexed citations
13.
Burred, Juan José, et al.. (2019). CLEESE: An open-source audio-transformation toolbox for data-driven experiments in speech and music cognition. PLoS ONE. 14(4). e0205943–e0205943. 15 indexed citations
14.
Ponsot, Emmanuel, et al.. (2018). Uncovering mental representations of smiled speech using reverse correlation. The Journal of the Acoustical Society of America. 143(1). EL19–EL24. 21 indexed citations
15.
Ponsot, Emmanuel, Patrick Susini, & Sabine Meunier. (2017). Global loudness of rising- and falling-intensity tones: How temporal profile characteristics shape overall judgments. The Journal of the Acoustical Society of America. 142(1). 256–267.
16.
Deneux, Thomas, et al.. (2016). Temporal asymmetries in auditory coding and perception reflect multi-layered nonlinearities. Nature Communications. 7(1). 12682–12682. 44 indexed citations
17.
Ponsot, Emmanuel, Patrick Susini, & Daniel Oberfeld. (2016). Temporal weighting of loudness: Comparison between two different psychophysical tasks. The Journal of the Acoustical Society of America. 139(1). 406–417. 4 indexed citations
18.
Ponsot, Emmanuel, Patrick Susini, & Sabine Meunier. (2015). A robust asymmetry in loudness between rising- and falling-intensity tones. Attention Perception & Psychophysics. 77(3). 907–920. 8 indexed citations
19.
Ponsot, Emmanuel, Patrick Susini, Guillaume Saint Pierre, & Sabine Meunier. (2013). Temporal loudness weights for sounds with increasing and decreasing intensity profiles. The Journal of the Acoustical Society of America. 134(4). EL321–EL326. 14 indexed citations
20.
Ponsot, Emmanuel, et al.. (2013). Effect of sound duration on loudness estimates of increasing and decreasing intensity sounds. The Journal of the Acoustical Society of America. 134(5_Supplement). 4063–4063. 3 indexed citations

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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