Sylvain Takerkart

86 total papers · 1.4k total citations
38 papers, 805 citations indexed

About

Sylvain Takerkart is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Sylvain Takerkart has authored 38 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Sylvain Takerkart's work include Functional Brain Connectivity Studies (15 papers), Neural dynamics and brain function (13 papers) and Neuroscience and Music Perception (8 papers). Sylvain Takerkart is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Neural dynamics and brain function (13 papers) and Neuroscience and Music Perception (8 papers). Sylvain Takerkart collaborates with scholars based in France, Canada and United States. Sylvain Takerkart's co-authors include Driss Boussaoud, Andrea Brovelli, Pascal Belin, Fakhita Regragui, Abdelhak Mahmoudi, W. Richter, Kimberlee D’Ardenne, James V. Haxby, Ingrid Daubechies and Jonathan D. Cohen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sylvain Takerkart

36 papers receiving 793 citations

Author Peers

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

Author Last Decade Papers Cites
Sylvain Takerkart 634 144 113 84 79 38 805
Todd D. Watson 684 1.1× 130 0.9× 100 0.9× 66 0.8× 99 1.3× 20 918
Sara L. Gonzalez Andino 847 1.3× 77 0.5× 96 0.8× 95 1.1× 223 2.8× 27 1.0k
Dongchuan Yu 496 0.8× 83 0.6× 37 0.3× 72 0.9× 54 0.7× 53 974
Michael Wagner 817 1.3× 130 0.9× 62 0.5× 83 1.0× 77 1.0× 21 1.0k
Francesco Gentile 405 0.6× 95 0.7× 54 0.5× 44 0.5× 72 0.9× 43 766
H. Lee Seldon 781 1.2× 92 0.6× 38 0.3× 128 1.5× 102 1.3× 34 969
Timothy Justus 629 1.0× 61 0.4× 87 0.8× 41 0.5× 196 2.5× 31 1.0k
Pavan Ramkumar 627 1.0× 44 0.3× 110 1.0× 74 0.9× 34 0.4× 24 784
Burak Erdeniz 490 0.8× 105 0.7× 35 0.3× 83 1.0× 122 1.5× 25 825
Mainak Jas 656 1.0× 57 0.4× 58 0.5× 69 0.8× 63 0.8× 18 787

Countries citing papers authored by Sylvain Takerkart

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Takerkart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Takerkart

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Takerkart. A scholar is included among the top collaborators of Sylvain Takerkart 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 Sylvain Takerkart. Sylvain Takerkart 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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