Catherine Perrodin

687 total citations
9 papers, 419 citations indexed

About

Catherine Perrodin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental Biology. According to data from OpenAlex, Catherine Perrodin has authored 9 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 4 papers in Developmental Biology. Recurrent topics in Catherine Perrodin's work include Multisensory perception and integration (5 papers), Animal Vocal Communication and Behavior (4 papers) and Neural dynamics and brain function (3 papers). Catherine Perrodin is often cited by papers focused on Multisensory perception and integration (5 papers), Animal Vocal Communication and Behavior (4 papers) and Neural dynamics and brain function (3 papers). Catherine Perrodin collaborates with scholars based in Germany, United Kingdom and United States. Catherine Perrodin's co-authors include Christoph Kayser, Christopher I. Petkov, Nikos K. Logothetis, Suzanne Dikker, Alexander G. Huth, Paweł J. Matusz, Taylor J. Abel, Daniel Bendor, Christian F. Doeller and Andrea Banino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Current Biology.

In The Last Decade

Catherine Perrodin

8 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Perrodin Germany 7 337 168 73 72 50 9 419
Megan Malloy United States 4 264 0.8× 64 0.4× 44 0.6× 61 0.8× 19 0.4× 4 311
Paweł Kuśmierek United States 9 321 1.0× 86 0.5× 37 0.5× 48 0.7× 47 0.9× 12 361
Julien Rouger France 9 468 1.4× 372 2.2× 32 0.4× 36 0.5× 64 1.3× 9 591
Ryan J. Morrill United States 7 151 0.4× 98 0.6× 60 0.8× 74 1.0× 39 0.8× 9 251
Joji Tsunada United States 9 279 0.8× 89 0.5× 31 0.4× 57 0.8× 27 0.5× 18 335
Aileen Y. Huang United States 7 243 0.7× 57 0.3× 25 0.3× 77 1.1× 123 2.5× 7 303
Tobias Overath United States 10 479 1.4× 137 0.8× 35 0.5× 15 0.2× 41 0.8× 21 510
Léo Varnet France 13 353 1.0× 72 0.4× 45 0.6× 33 0.5× 70 1.4× 30 419
Caroline A. Niziolek United States 10 526 1.6× 270 1.6× 95 1.3× 19 0.3× 14 0.3× 31 658
Alice E. Milne United Kingdom 10 263 0.8× 98 0.6× 32 0.4× 41 0.6× 13 0.3× 16 386

Countries citing papers authored by Catherine Perrodin

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Perrodin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Perrodin

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

All Works

9 of 9 papers shown
1.
Perrodin, Catherine, et al.. (2023). Courtship behaviour reveals temporal regularity is a critical social cue in mouse communication. eLife. 12. 8 indexed citations
2.
Frey, Markus, Catherine Perrodin, Matthias Nau, et al.. (2021). Interpreting wide-band neural activity using convolutional neural networks. eLife. 10. 14 indexed citations
3.
Matusz, Paweł J., Suzanne Dikker, Alexander G. Huth, & Catherine Perrodin. (2018). Are We Ready for Real-world Neuroscience?. Journal of Cognitive Neuroscience. 31(3). 327–338. 146 indexed citations
4.
Perrodin, Catherine, Christoph Kayser, Taylor J. Abel, Nikos K. Logothetis, & Christopher I. Petkov. (2015). Who is That? Brain Networks and Mechanisms for Identifying Individuals. Trends in Cognitive Sciences. 19(12). 783–796. 53 indexed citations
5.
Perrodin, Catherine, Christoph Kayser, Nikos K. Logothetis, & Christopher I. Petkov. (2014). Auditory and Visual Modulation of Temporal Lobe Neurons in Voice-Sensitive and Association Cortices. Journal of Neuroscience. 34(7). 2524–2537. 55 indexed citations
6.
Perrodin, Catherine, Christoph Kayser, Nikos K. Logothetis, & Christopher I. Petkov. (2014). Natural asynchronies in audiovisual communication signals regulate neuronal multisensory interactions in voice-sensitive cortex. Proceedings of the National Academy of Sciences. 112(1). 273–278. 37 indexed citations
7.
Perrodin, Catherine, Christoph Kayser, Nikos K. Logothetis, & Christopher I. Petkov. (2011). Voice Cells in the Primate Temporal Lobe. Current Biology. 21(16). 1408–1415. 104 indexed citations
8.
Perrodin, Catherine, et al.. (2010). A brain region consisting of neurons with moderate sensitivity for voices. MPG.PuRe (Max Planck Society). 5.
9.
Perrodin, Catherine, et al.. (2009). Encoding properties of neurons sensitive to species-specific vocalizations in the anterior temporal lobe of primates. MPG.PuRe (Max Planck Society). 123–124. 2 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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