Marie‐Constance Corsi

113 total papers · 717 total citations
27 papers, 430 citations indexed

About

Marie‐Constance Corsi is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marie‐Constance Corsi has authored 27 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 3 papers in Psychiatry and Mental health and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marie‐Constance Corsi's work include Functional Brain Connectivity Studies (23 papers), EEG and Brain-Computer Interfaces (18 papers) and Neural dynamics and brain function (12 papers). Marie‐Constance Corsi is often cited by papers focused on Functional Brain Connectivity Studies (23 papers), EEG and Brain-Computer Interfaces (18 papers) and Neural dynamics and brain function (12 papers). Marie‐Constance Corsi collaborates with scholars based in France, Italy and United States. Marie‐Constance Corsi's co-authors include Danielle S. Bassett, Fabrizio De Vico Fallani, Lionel Naccache, Laurent Hugueville, Federico Raimondo, Marion Houot, Stéphane Epelbaum, Mario Chávez, Jacobo Sitt and Sinead Gaubert and has published in prestigious journals such as Nature Communications, NeuroImage and Brain.

In The Last Decade

Marie‐Constance Corsi

24 papers receiving 424 citations

Author Peers

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

Author						Papers	Cites
Marie‐Constance Corsi	310	89	57	57	52	27	430
Umesh Vivekananda	169 0.5×	59 0.7×	163 2.9×	42 0.7×	33 0.6×	29	458
Chang Cai	305 1.0×	31 0.3×	30 0.5×	100 1.8×	31 0.6×	36	442
Yasuhiro Haruta	286 0.9×	100 1.1×	23 0.4×	68 1.2×	27 0.5×	27	457
Wolfgang Härer	229 0.7×	47 0.5×	104 1.8×	78 1.4×	38 0.7×	16	374
Chan‐Hong Moon	296 1.0×	35 0.4×	52 0.9×	159 2.8×	40 0.8×	28	478
Hannes Nowak	200 0.6×	24 0.3×	71 1.2×	64 1.1×	45 0.9×	16	407
H.-A. Wischmann	246 0.8×	24 0.3×	24 0.4×	107 1.9×	28 0.5×	15	376
Carney Landis	159 0.5×	45 0.5×	37 0.6×	11 0.2×	40 0.8×	25	485
Lau M. Andersen	349 1.1×	46 0.5×	49 0.9×	42 0.7×	20 0.4×	25	453
Youbin Kang	115 0.4×	15 0.2×	27 0.5×	44 0.8×	61 1.2×	32	432

Countries citing papers authored by Marie‐Constance Corsi

Since Specialization

Citations

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

Fields of papers citing papers by Marie‐Constance Corsi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Constance Corsi. 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 Marie‐Constance Corsi. The network helps show where Marie‐Constance Corsi may publish in the future.

Co-authorship network of co-authors of Marie‐Constance Corsi

This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Constance Corsi. A scholar is included among the top collaborators of Marie‐Constance Corsi 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 Marie‐Constance Corsi. Marie‐Constance Corsi 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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