Martin Schrimpf

58 total papers · 2.9k total citations
15 papers, 699 citations indexed

About

Martin Schrimpf is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Schrimpf has authored 15 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Cognitive Neuroscience and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Schrimpf's work include Neural dynamics and brain function (4 papers), Topic Modeling (4 papers) and Neurobiology of Language and Bilingualism (3 papers). Martin Schrimpf is often cited by papers focused on Neural dynamics and brain function (4 papers), Topic Modeling (4 papers) and Neurobiology of Language and Bilingualism (3 papers). Martin Schrimpf collaborates with scholars based in United States, Switzerland and Belgium. Martin Schrimpf's co-authors include James J. DiCarlo, Evelina Fedorenko, Greta Tuckute, Eghbal A. Hosseini, Nancy Kanwisher, Idan Blank, Joshua B. Tenenbaum, Carina Kauf, Aran Nayebi and Daniel Yamins and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Martin Schrimpf

15 papers receiving 692 citations

Hit Papers

The neural architecture o... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Schrimpf 524 196 119 65 65 15 699
Raphaël Monat 483 0.9× 143 0.7× 31 0.3× 54 0.8× 63 1.0× 42 702
Grace W. Lindsay 501 1.0× 148 0.8× 132 1.1× 41 0.6× 22 0.3× 11 821
Pouya Bashivan 499 1.0× 112 0.6× 133 1.1× 28 0.4× 13 0.2× 23 643
Francisco Pereira 477 0.9× 206 1.1× 119 1.0× 51 0.8× 15 0.2× 13 722
Yoichi Miyawaki 726 1.4× 88 0.4× 130 1.1× 44 0.7× 13 0.2× 25 882
Cai Wingfield 549 1.0× 69 0.4× 63 0.5× 111 1.7× 107 1.6× 13 654
Eghbal A. Hosseini 601 1.1× 185 0.9× 13 0.1× 84 1.3× 54 0.8× 11 705
Yusuke Morito 571 1.1× 52 0.3× 80 0.7× 143 2.2× 33 0.5× 10 708
Tony Vladusich 484 0.9× 98 0.5× 50 0.4× 144 2.2× 109 1.7× 29 727
Adrien Baranès 331 0.6× 293 1.5× 65 0.5× 123 1.9× 193 3.0× 12 888

Countries citing papers authored by Martin Schrimpf

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schrimpf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schrimpf

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

All Works

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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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