Matthieu P. Vanni

49 total papers · 1.5k total citations
26 papers, 904 citations indexed

About

Matthieu P. Vanni is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthieu P. Vanni has authored 26 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 16 papers in Cellular and Molecular Neuroscience and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthieu P. Vanni's work include Neural dynamics and brain function (19 papers), Photoreceptor and optogenetics research (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). Matthieu P. Vanni is often cited by papers focused on Neural dynamics and brain function (19 papers), Photoreceptor and optogenetics research (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). Matthieu P. Vanni collaborates with scholars based in Canada, United States and China. Matthieu P. Vanni's co-authors include Timothy H. Murphy, Gergely Silasi, Dongsheng Xiao, Andrew C. N. Chen, Matilde Balbi, Jeffrey LeDue, Allen W. Chan, Christian Casanova, Jamie D. Boyd and Federico Bolaños and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and NeuroImage.

In The Last Decade

Matthieu P. Vanni

26 papers receiving 893 citations

Author Peers

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

Author Last Decade Papers Cites
Matthieu P. Vanni 519 501 133 124 85 26 904
Daniel Aharoni 437 0.8× 394 0.8× 84 0.6× 31 0.3× 203 2.4× 23 801
Shawn Mikula 196 0.4× 153 0.3× 182 1.4× 117 0.9× 246 2.9× 21 856
Boma Fubara 157 0.3× 117 0.2× 155 1.2× 328 2.6× 109 1.3× 11 808
L. Narici 477 0.9× 136 0.3× 47 0.4× 128 1.0× 11 0.1× 70 944
Paul Ruenzel 231 0.4× 212 0.4× 83 0.6× 245 2.0× 15 0.2× 14 825
Muhammad G. Saleh 198 0.4× 172 0.3× 97 0.7× 459 3.7× 92 1.1× 37 801
J. László 94 0.2× 180 0.4× 160 1.2× 38 0.3× 147 1.7× 88 936
Jin Hyung Lee 279 0.5× 238 0.5× 34 0.3× 408 3.3× 25 0.3× 20 870
Shane Smith 98 0.2× 198 0.4× 164 1.2× 233 1.9× 12 0.1× 61 934
Aileen Schroeter 496 1.0× 356 0.7× 123 0.9× 384 3.1× 23 0.3× 26 950

Countries citing papers authored by Matthieu P. Vanni

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu P. Vanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthieu P. Vanni. 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 Matthieu P. Vanni. The network helps show where Matthieu P. Vanni may publish in the future.

Co-authorship network of co-authors of Matthieu P. Vanni

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu P. Vanni. A scholar is included among the top collaborators of Matthieu P. Vanni 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 Matthieu P. Vanni. Matthieu P. Vanni 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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