Mathias Sablé-Meyer

775 total citations · 1 hit paper
16 papers, 283 citations indexed

About

Mathias Sablé-Meyer is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, Mathias Sablé-Meyer has authored 16 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Developmental and Educational Psychology and 5 papers in Statistics and Probability. Recurrent topics in Mathias Sablé-Meyer's work include Cognitive and developmental aspects of mathematical skills (5 papers), Child and Animal Learning Development (5 papers) and Machine Learning and Algorithms (3 papers). Mathias Sablé-Meyer is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (5 papers), Child and Animal Learning Development (5 papers) and Machine Learning and Algorithms (3 papers). Mathias Sablé-Meyer collaborates with scholars based in France, United States and United Kingdom. Mathias Sablé-Meyer's co-authors include Stanislas Dehaene, Kevin Ellis, Yair Lakretz, Armando Solar-Lezama, Samuel Planton, Josh Tenenbaum, Joshua B. Tenenbaum, Serge Caparos, Luke Hewitt and Maxwell Nye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Trends in Cognitive Sciences.

In The Last Decade

Mathias Sablé-Meyer

14 papers receiving 275 citations

Hit Papers

align trajectories

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.

Symbols and mental programs: a hypothesis about human singularity

2022 72 citations Stanislas Dehaene, Yair Lakretz et al. Trends in Cognitive Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathias Sablé-Meyer France	9	114	66	65	38	28	16	283
Andreas Stuhlmüller United States	8	220 1.9×	70 1.1×	61 0.9×	12 0.3×	30 1.1×	11	377
Paul Bello United States	12	199 1.7×	157 2.4×	54 0.8×	11 0.3×	9 0.3×	53	445
Boicho Kokinov Bulgaria	10	155 1.4×	97 1.5×	100 1.5×	6 0.2×	39 1.4×	37	372
Wayne Iba United States	7	151 1.3×	59 0.9×	71 1.1×	3 0.1×	19 0.7×	18	291
Ronald W. Ferguson United States	9	193 1.7×	42 0.6×	108 1.7×	6 0.2×	20 0.7×	16	406
Kai‐Uwe Kühnberger Germany	10	279 2.4×	39 0.6×	31 0.5×	4 0.1×	13 0.5×	44	387
Neil Mayo United Kingdom	6	247 2.2×	100 1.5×	44 0.7×	16 0.4×	7 0.3×	10	458
Shashank Srikant United States	8	69 0.6×	53 0.8×	51 0.8×	13 0.3×	4 0.1×	14	249
Dan Bothell United States	2	117 1.0×	214 3.2×	78 1.2×	8 0.2×	8 0.3×	3	376
Andrew K. Lampinen United States	8	154 1.4×	49 0.7×	22 0.3×	5 0.1×	6 0.2×	20	272

Countries citing papers authored by Mathias Sablé-Meyer

Since Specialization

Citations

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

Fields of papers citing papers by Mathias Sablé-Meyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathias Sablé-Meyer. 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 Mathias Sablé-Meyer. The network helps show where Mathias Sablé-Meyer may publish in the future.

Co-authorship network of co-authors of Mathias Sablé-Meyer

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

All Works

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16 of 16 papers shown

Sablé-Meyer, Mathias, et al.. (2026). A geometric shape regularity effect in the human brain. eLife. 14.

Sablé-Meyer, Mathias, et al.. (2025). The compositional nature of number concepts: Insights from number frequencies. Cognition. 263. 106213–106213. 1 indexed citations

Gutierrez-Farewik, Elena M., et al.. (2025). Cognitive Maps in the Prefrontal Cortex. Journal of Neuroscience. 45(46). e1358252025–e1358252025.

Dehaene, Stanislas, et al.. (2025). Origins of numbers: a shared language-of-thought for arithmetic and geometry?. Trends in Cognitive Sciences. 29(6). 526–540. 5 indexed citations

Benjamin, Lucas, et al.. (2024). Long-Horizon Associative Learning Explains Human Sensitivity to Statistical and Network Structures in Auditory Sequences. Journal of Neuroscience. 44(14). e1369232024–e1369232024. 5 indexed citations

Sablé-Meyer, Mathias, et al.. (2023). Trend judgment as a perceptual building block of graphicacy and mathematics, across age, education, and culture. Scientific Reports. 13(1). 10266–10266. 3 indexed citations

Ellis, Kevin, Maxwell Nye, Mathias Sablé-Meyer, et al.. (2023). DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2251). 20220050–20220050. 28 indexed citations

Sablé-Meyer, Mathias, Kevin Ellis, Josh Tenenbaum, & Stanislas Dehaene. (2022). A language of thought for the mental representation of geometric shapes. Cognitive Psychology. 139. 101527–101527. 25 indexed citations

Dehaene, Stanislas, et al.. (2022). Symbols and mental programs: a hypothesis about human singularity. Trends in Cognitive Sciences. 26(9). 751–766. 72 indexed citations breakdown →

10.

Sablé-Meyer, Mathias, et al.. (2022). Analyzing the misperception of exponential growth in graphs. Cognition. 225. 105112–105112. 15 indexed citations

11.

Sablé-Meyer, Mathias & Salvador Mascarenhas. (2021). Indirect illusory inferences from disjunction: a new bridge between deductive inference and representativeness. Review of Philosophy and Psychology. 13(3). 567–592. 10 indexed citations

12.

Sablé-Meyer, Mathias, Joël Fagot, Serge Caparos, et al.. (2021). Sensitivity to geometric shape regularity in humans and baboons: A putative signature of human singularity. Proceedings of the National Academy of Sciences. 118(16). 44 indexed citations

13.

Ellis, Kevin, Maxwell Nye, Mathias Sablé-Meyer, et al.. (2021). DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. 835–850. 47 indexed citations

14.

Sablé-Meyer, Mathias & Salvador Mascarenhas. (2019). Assessing the role of matching bias in reasoning with disjunctions.. Cognitive Science. 3351. 2 indexed citations

15.

Ellis, Kevin, et al.. (2018). Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction. Neural Information Processing Systems. 31. 7805–7815. 17 indexed citations

16.

Ellis, Kevin, et al.. (2018). Library learning for neurally-guided Bayesian program induction. DSpace@MIT (Massachusetts Institute of Technology). 7816–7826. 9 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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