Charlotte Caucheteux

1.8k total citations · 3 hit papers
6 papers, 365 citations indexed

About

Charlotte Caucheteux is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Charlotte Caucheteux has authored 6 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 2 papers in Social Psychology. Recurrent topics in Charlotte Caucheteux's work include Neurobiology of Language and Bilingualism (6 papers), Topic Modeling (4 papers) and Action Observation and Synchronization (2 papers). Charlotte Caucheteux is often cited by papers focused on Neurobiology of Language and Bilingualism (6 papers), Topic Modeling (4 papers) and Action Observation and Synchronization (2 papers). Charlotte Caucheteux collaborates with scholars based in France, Burundi and Israel. Charlotte Caucheteux's co-authors include Jean-Rémi King, Alexandre Gramfort, Alexandre Défossez and Jérémy Rapin and has published in prestigious journals such as Scientific Reports, Nature Human Behaviour and Nature Machine Intelligence.

In The Last Decade

Charlotte Caucheteux

6 papers receiving 360 citations

Hit Papers

Brains and algorithms partially converge in natural langu... 2022 2026 2023 2024 2022 2023 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Brains and algorithms partially converge in natural language processing
    2022 132 citations Charlotte Caucheteux, Jean-Rémi King Communications Biology profile →
  2. Evidence of a predictive coding hierarchy in the human brain listening to speech
    2023 101 citations Charlotte Caucheteux, Alexandre Gramfort et al. Nature Human Behaviour profile →
  3. Decoding speech perception from non-invasive brain recordings
    2023 81 citations Alexandre Défossez, Charlotte Caucheteux et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charlotte Caucheteux France 5 240 131 43 40 35 6 365
Greta Tuckute United States 9 298 1.2× 135 1.0× 62 1.4× 79 2.0× 57 1.6× 19 454
Samuel Ritter United States 3 184 0.8× 98 0.7× 58 1.3× 52 1.3× 33 0.9× 5 270
Carina Kauf United States 4 174 0.7× 136 1.0× 40 0.9× 41 1.0× 38 1.1× 7 286
Leila Wehbe United States 12 396 1.6× 178 1.4× 86 2.0× 98 2.5× 58 1.7× 28 566
Cory Shain United States 13 287 1.2× 205 1.6× 55 1.3× 170 4.3× 50 1.4× 25 449
Yair Lakretz France 9 160 0.7× 126 1.0× 22 0.5× 86 2.1× 38 1.1× 12 301
Fatma Deniz United States 6 157 0.7× 43 0.3× 46 1.1× 52 1.3× 34 1.0× 12 243
Marten van Schijndel United States 12 283 1.2× 291 2.2× 29 0.7× 146 3.6× 53 1.5× 27 487
Frédéric Lavigne France 9 158 0.7× 62 0.5× 29 0.7× 88 2.2× 43 1.2× 24 271
Shailee Jain United States 5 138 0.6× 43 0.3× 20 0.5× 18 0.5× 16 0.5× 9 208

Countries citing papers authored by Charlotte Caucheteux

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Caucheteux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Caucheteux

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

All Works

6 of 6 papers shown
1.
Défossez, Alexandre, et al.. (2023). Decoding speech perception from non-invasive brain recordings. Nature Machine Intelligence. 5(10). 1097–1107. 81 indexed citations breakdown →
2.
Caucheteux, Charlotte, Alexandre Gramfort, & Jean-Rémi King. (2023). Evidence of a predictive coding hierarchy in the human brain listening to speech. Nature Human Behaviour. 7(3). 430–441. 101 indexed citations breakdown →
3.
Caucheteux, Charlotte & Jean-Rémi King. (2022). Brains and algorithms partially converge in natural language processing. Communications Biology. 5(1). 134–134. 132 indexed citations breakdown →
4.
Caucheteux, Charlotte, Alexandre Gramfort, & Jean-Rémi King. (2022). Deep language algorithms predict semantic comprehension from brain activity. Scientific Reports. 12(1). 16327–16327. 36 indexed citations
5.
Caucheteux, Charlotte, Alexandre Gramfort, & Jean-Rémi King. (2021). Decomposing lexical and compositional syntax and semantics with deep language models.. 1 indexed citations
6.
Caucheteux, Charlotte, Alexandre Gramfort, & Jean-Rémi King. (2021). Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects. 3635–3644. 14 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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Rankless by CCL
2026