Stéphane Garnier

971 total citations
8 papers, 741 citations indexed

About

Stéphane Garnier is a scholar working on Cognitive Neuroscience, Sensory Systems and Speech and Hearing. According to data from OpenAlex, Stéphane Garnier has authored 8 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Sensory Systems and 3 papers in Speech and Hearing. Recurrent topics in Stéphane Garnier's work include Hearing Loss and Rehabilitation (8 papers), Hearing, Cochlea, Tinnitus, Genetics (8 papers) and Speech and Audio Processing (3 papers). Stéphane Garnier is often cited by papers focused on Hearing Loss and Rehabilitation (8 papers), Hearing, Cochlea, Tinnitus, Genetics (8 papers) and Speech and Audio Processing (3 papers). Stéphane Garnier collaborates with scholars based in France, Canada and United Kingdom. Stéphane Garnier's co-authors include Christian Lorenzi, Brian C. J. Moore, Christophe Micheyl, Sylviane Chéry-Croze, A. Chays, Gérard Lina, Anne Lise Giraud, Stanley Sheft, Lionel Collet and Arnaud Noreña and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of the Acoustical Society of America and Neuroreport.

In The Last Decade

Stéphane Garnier

8 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Garnier France 8 687 409 360 176 105 8 741
Gail Donaldson United States 19 847 1.2× 450 1.1× 409 1.1× 343 1.9× 84 0.8× 28 901
B. C. J. Moore United Kingdom 12 888 1.3× 507 1.2× 513 1.4× 307 1.7× 72 0.7× 24 981
Matthew B. Fitzgerald United States 16 740 1.1× 319 0.8× 288 0.8× 133 0.8× 135 1.3× 53 842
Melanie A. Zokoll Germany 11 630 0.9× 251 0.6× 374 1.0× 291 1.7× 88 0.8× 20 699
Mariano A. Fernandes United Kingdom 8 608 0.9× 287 0.7× 352 1.0× 175 1.0× 90 0.9× 13 679
Karen B. Snell United States 9 662 1.0× 382 0.9× 335 0.9× 102 0.6× 120 1.1× 13 728
Stanley Sheft United States 17 1.1k 1.6× 344 0.8× 548 1.5× 341 1.9× 174 1.7× 69 1.1k
Ewan A. Macpherson Canada 15 886 1.3× 275 0.7× 319 0.9× 261 1.5× 264 2.5× 42 960
Michael J. Shailer United Kingdom 11 519 0.8× 260 0.6× 278 0.8× 137 0.8× 43 0.4× 15 564
Chaogang Wei China 8 479 0.7× 199 0.5× 174 0.5× 218 1.2× 79 0.8× 29 543

Countries citing papers authored by Stéphane Garnier

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Garnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Garnier

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

All Works

8 of 8 papers shown
1.
Lorenzi, Christian, Dan Gnansia, Agnès C. Léger, et al.. (2012). Temporal-Envelope Reconstruction for Hearing-Impaired Listeners. Journal of the Association for Research in Otolaryngology. 13(6). 853–865. 10 indexed citations
2.
Sheft, Stanley, et al.. (2010). Perception of temporal fine-structure cues in speech with minimal envelope cues for listeners with mild-to-moderate hearing loss. International Journal of Audiology. 49(11). 823–831. 24 indexed citations
3.
Lorenzi, Christian, et al.. (2009). Abnormal processing of temporal fine structure in speech for frequencies where absolute thresholds are normal. The Journal of the Acoustical Society of America. 125(1). 27–30. 76 indexed citations
4.
Lorenzi, Christian, et al.. (2006). Speech perception problems of the hearing impaired reflect inability to use temporal fine structure. Proceedings of the National Academy of Sciences. 103(49). 18866–18869. 427 indexed citations
5.
Noreña, Arnaud, Christophe Micheyl, Stéphane Garnier, & Sylviane Chéry-Croze. (2002). Loudness changes associated with the perception of an auditory after-image: Cambios en la intensidad asociados a la percepción de una imagen post-auditiva. International Journal of Audiology. 41(3). 202–207. 7 indexed citations
6.
Garnier, Stéphane, et al.. (2002). Medial olivocochlear bundle activation and perceived auditory intensity in humans. Physiology & Behavior. 77(2-3). 311–320. 7 indexed citations
7.
Garnier, Stéphane, et al.. (2000). Effect of frequency content on categorical loudness normalization. Scandinavian Audiology. 29(4). 253–259. 7 indexed citations
8.
Giraud, Anne Lise, Stéphane Garnier, Christophe Micheyl, et al.. (1997). Auditory efferents involved in speech-in-noise intelligibility. Neuroreport. 8(7). 1779–1783. 183 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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