Marie‐Constance Corsi

734 total citations
27 papers, 438 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 438 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, Marion Houot, Stéphane Epelbaum, Denis Schwartz, Laurent Hugueville, Jacobo Sitt, Federico Raimondo, Lionel Naccache 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 432 citations

Peers

Marie‐Constance Corsi

AMPO

CMN

RNMI

PMH

Emma L. Hall United Kingdom

Mite Mijalkov Sweden

Selma Supek Croatia

Andrew Morgan United States

Petteri Laine Finland

Ahmed Abou Elseoud Finland

Wolfgang Härer Germany

Federico Chella Italy

Siân E. Robson United Kingdom

Darren Price United Kingdom

Emma L. Hall United Kingdom

Marie‐Constance Corsi

523 ×1.7

53 ×0.6

AMPO

97 ×1.6

CMN

250 ×4.4

RNMI

48 ×0.9

PMH

Citations per year, relative to Marie‐Constance Corsi Marie‐Constance Corsi (= 1×) peers Emma L. Hall

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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20 of 20 papers shown

Scarano, Gaetano, et al.. (2025). Community Detection From Multiple Observations: From Product Graph Model to Brain Applications. IEEE Transactions on Signal and Information Processing over Networks. 11. 201–214.

Corsi, Marie‐Constance, Brigitte Charlotte Kaufmann, Baptiste Couvy‐Duchesne, et al.. (2025). Low-dimensional controllability of brain networks. PLoS Computational Biology. 21(1). e1012691–e1012691.

Corsi, Marie‐Constance, et al.. (2024). Introducing the Modularity Graph: An Application to Brain Functional Networks. 1611–1615. 1 indexed citations

Corsi, Marie‐Constance, et al.. (2024). Node-layer duality in networked systems. Nature Communications. 15(1). 6038–6038. 2 indexed citations

Lopez, Emahnuel Troisi, Marie‐Constance Corsi, Alberto Danieli, et al.. (2024). Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy: A neural fingerprint identification. iScience. 28(1). 111497–111497. 2 indexed citations

Corsi, Marie‐Constance, et al.. (2024). Geometric neural network based on phase space for BCI-EEG decoding. Journal of Neural Engineering. 22(1). 16049–16049. 3 indexed citations

Corsi, Marie‐Constance, et al.. (2024). Neuronal avalanches in temporal lobe epilepsy as a noninvasive diagnostic tool investigating large scale brain dynamics. Scientific Reports. 14(1). 14039–14039. 5 indexed citations

Corsi, Marie‐Constance, Pierpaolo Sorrentino, Denis Schwartz, et al.. (2023). Measuring neuronal avalanches to inform brain-computer interfaces. iScience. 27(1). 108734–108734. 4 indexed citations

Corsi, Marie‐Constance, Sylvain Chevallier, Fabrizio De Vico Fallani, & Florian Yger. (2021). Functional connectivity ensemble method to enhance BCI performance\n (FUCONE). arXiv (Cornell University). 14 indexed citations

10.

Colonnese, Stefania, et al.. (2021). Phase/amplitude synchronization of brain signals during motor imagery BCI tasks. IRIS Research product catalog (Sapienza University of Rome). 19 indexed citations

11.

Scarano, Gaetano, et al.. (2021). Improving J-divergence of brain connectivity states by graph Laplacian denoising. IRIS Research product catalog (Sapienza University of Rome). 9 indexed citations

12.

Gaubert, Sinead, Marion Houot, Federico Raimondo, et al.. (2021). A machine learning approach to screen for preclinical Alzheimer's disease. Neurobiology of Aging. 105. 205–216. 21 indexed citations

13.

Stiso, Jennifer, Marie‐Constance Corsi, Jean M. Vettel, et al.. (2020). Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior. Journal of Neural Engineering. 17(4). 46018–46018. 10 indexed citations

14.

Corsi, Marie‐Constance, Mario Chávez, Denis Schwartz, et al.. (2020). Functional disconnection of associative cortical areas predicts performance during BCI training. NeuroImage. 209. 116500–116500. 25 indexed citations

15.

Corsi, Marie‐Constance, Mario Chávez, Denis Schwartz, et al.. (2020). BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks. arXiv (Cornell University). 5 indexed citations

16.

Gaubert, Sinead, Federico Raimondo, Marion Houot, et al.. (2019). EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease. Brain. 142(7). 2096–2112. 148 indexed citations

17.

Labyt, Étienne, Marie‐Constance Corsi, Gilles Cauffet, et al.. (2018). Magnetoencephalography With Optically Pumped⁴He Magnetometers at Ambient Temperature. IEEE Transactions on Medical Imaging. 38(1). 90–98. 48 indexed citations

18.

Colonnese, Stefania, et al.. (2018). Characterization of Mental States through Node Connectivity between Brain Signals. HAL (Le Centre pour la Communication Scientifique Directe). 1377–1381. 8 indexed citations

19.

Morales, Sophie, Marie‐Constance Corsi, F. Bertrand, et al.. (2017). Magnetocardiography measurements with⁴He vector optically pumped magnetometers at room temperature. Physics in Medicine and Biology. 62(18). 7267–7279. 46 indexed citations

20.

Corsi, Marie‐Constance. (1968). [Radiotherapy of Dupuytren's disease].. PubMed. 21(3). 391–403. 3 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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