Ian Charest

3.4k total citations · 1 hit paper
44 papers, 1.7k citations indexed

About

Ian Charest is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ian Charest has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 12 papers in Experimental and Cognitive Psychology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ian Charest's work include Face Recognition and Perception (18 papers), Neural dynamics and brain function (14 papers) and Visual perception and processing mechanisms (9 papers). Ian Charest is often cited by papers focused on Face Recognition and Perception (18 papers), Neural dynamics and brain function (14 papers) and Visual perception and processing mechanisms (9 papers). Ian Charest collaborates with scholars based in United Kingdom, Canada and United States. Ian Charest's co-authors include Nikolaus Kriegeskorte, Pascal Belin, Marianne Latinus, Maria Wimber, Cyril Pernet, Frances Crabbe, Arjen Alink, Patricia E.G. Bestelmeyer, Kendrick Kay and Michael C. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

In The Last Decade

Ian Charest

43 papers receiving 1.7k citations

Hit Papers

A massive 7T fMRI dataset to bridge cognitive neuroscienc... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Charest United Kingdom 20 1.4k 496 179 121 108 44 1.7k
Robin A. A. Ince United Kingdom 24 1.5k 1.1× 393 0.8× 131 0.7× 66 0.5× 231 2.1× 61 1.7k
Patricia E.G. Bestelmeyer United Kingdom 20 1.2k 0.8× 738 1.5× 228 1.3× 57 0.5× 24 0.2× 36 1.5k
Sascha Frühholz Switzerland 27 1.8k 1.3× 905 1.8× 487 2.7× 112 0.9× 61 0.6× 83 2.4k
Sam Norman-Haignere United States 15 1.1k 0.8× 261 0.5× 90 0.5× 74 0.6× 36 0.3× 24 1.2k
Marianne Latinus France 25 2.0k 1.5× 1.2k 2.3× 326 1.8× 178 1.5× 40 0.4× 50 2.5k
Roozbeh Behroozmand United States 21 1.2k 0.8× 424 0.9× 143 0.8× 37 0.3× 34 0.3× 64 1.6k
Adeen Flinker United States 19 1.5k 1.1× 370 0.7× 184 1.0× 26 0.2× 259 2.4× 45 2.1k
Feng Rong United States 10 1000 0.7× 447 0.9× 172 1.0× 24 0.2× 70 0.6× 12 1.2k
Mark Jude Tramo United States 20 1.6k 1.2× 500 1.0× 227 1.3× 46 0.4× 69 0.6× 26 1.9k
Peter Kok Netherlands 26 3.5k 2.5× 706 1.4× 423 2.4× 123 1.0× 217 2.0× 56 4.0k

Countries citing papers authored by Ian Charest

Since Specialization
Citations

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

Fields of papers citing papers by Ian Charest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Charest

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Charest. A scholar is included among the top collaborators of Ian Charest 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 Ian Charest. Ian Charest 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
1.
Woodhams, Jessica, et al.. (2024). Neural computations in prosopagnosia. Cerebral Cortex. 34(5). 1 indexed citations
2.
Griffiths, Benjamin, Juan Linde‐Domingo, Catarina S. Ferreira, et al.. (2024). Reconstructing Spatiotemporal Trajectories of Visual Object Memories in the Human Brain. eNeuro. 11(9). ENEURO.0091–24.2024. 2 indexed citations
3.
Jozwik, Kamila M., et al.. (2022). Disentangling five dimensions of animacy in human brain and behaviour. Communications Biology. 5(1). 1247–1247. 10 indexed citations
4.
Prince, Jacob S., Ian Charest, Jan W. Kurzawski, et al.. (2022). Improving the accuracy of single-trial fMRI response estimates using GLMsingle. eLife. 11. 54 indexed citations
5.
Lowe, Matthew X., et al.. (2021). Cochlea to categories: The spatiotemporal dynamics of semantic auditory representations. Cognitive Neuropsychology. 38(7-8). 468–489. 7 indexed citations
6.
Treder, Matthias S., Ian Charest, Sebastian Michelmann, et al.. (2021). The hippocampus as the switchboard between perception and memory. Proceedings of the National Academy of Sciences. 118(50). 44 indexed citations
7.
Allen, Emily, Ghislain St-Yves, Yihan Wu, et al.. (2021). A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. Nature Neuroscience. 25(1). 116–126. 211 indexed citations breakdown →
8.
Charest, Ian, et al.. (2020). Does sleep-dependent consolidation favour weak memories?. Cortex. 134. 65–75. 29 indexed citations
9.
Alink, Arjen & Ian Charest. (2020). Clinically relevant autistic traits predict greater reliance on detail for image recognition. Scientific Reports. 10(1). 14239–14239. 11 indexed citations
10.
Charest, Ian, Nikolaus Kriegeskorte, & Kendrick Kay. (2018). GLMdenoise improves multivariate pattern analysis of fMRI data. NeuroImage. 183. 606–616. 23 indexed citations
11.
Pernet, Cyril, Phil McAleer, Marianne Latinus, et al.. (2015). The human voice areas: Spatial organization and inter-individual variability in temporal and extra-temporal cortices. NeuroImage. 119. 164–174. 176 indexed citations
12.
Wimber, Maria, Arjen Alink, Ian Charest, Nikolaus Kriegeskorte, & Michael C. Anderson. (2015). Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression. Nature Neuroscience. 18(4). 582–589. 159 indexed citations
13.
Giordano, Bruno L., et al.. (2014). Automatic domain-general processing of sound source identity in the left posterior middle frontal gyrus. Cortex. 58. 170–185. 13 indexed citations
14.
Maurage, Pierre, Patricia E.G. Bestelmeyer, Julien Rouger, Ian Charest, & Pascal Belin. (2013). Binge drinking influences the cerebral processing of vocal affective bursts in young adults. NeuroImage Clinical. 3. 218–225. 33 indexed citations
15.
Watson, Rebecca, Marianne Latinus, Ian Charest, Frances Crabbe, & Pascal Belin. (2013). People-selectivity, audiovisual integration and heteromodality in the superior temporal sulcus. Cortex. 50. 125–136. 77 indexed citations
16.
Charest, Ian, Cyril Pernet, Marianne Latinus, Frances Crabbe, & Pascal Belin. (2012). Cerebral Processing of Voice Gender Studied Using a Continuous Carryover fMRI Design. Cerebral Cortex. 23(4). 958–966. 49 indexed citations
17.
Bruckert, Laetitia, Patricia E.G. Bestelmeyer, Marianne Latinus, et al.. (2010). Vocal Attractiveness Increases by Averaging. Current Biology. 20(2). 116–120. 112 indexed citations
18.
Maurage, Pierre, Salvatore Campanella, Pierre Philippot, et al.. (2009). Impaired Emotional Facial Expression Decoding in Alcoholism is Also Present for Emotional Prosody and Body Postures. Alcohol and Alcoholism. 44(5). 476–485. 78 indexed citations
19.
Belin, Pascal, Shirley Fecteau, Ian Charest, et al.. (2007). Human cerebral response to animal affective vocalizations. Proceedings of the Royal Society B Biological Sciences. 275(1634). 473–481. 74 indexed citations
20.
Proteau, Luc, et al.. (1994). Differential Roles With Aging of Visual and Proprioceptive Afferent Information for Fine Motor Control. Journal of Gerontology. 49(3). P100–P107. 10 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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