Paul Ferrari

3.4k total citations
71 papers, 2.2k citations indexed

About

Paul Ferrari is a scholar working on Cognitive Neuroscience, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Paul Ferrari has authored 71 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 12 papers in Molecular Biology and 10 papers in Psychiatry and Mental health. Recurrent topics in Paul Ferrari's work include EEG and Brain-Computer Interfaces (27 papers), Neural dynamics and brain function (16 papers) and Functional Brain Connectivity Studies (16 papers). Paul Ferrari is often cited by papers focused on EEG and Brain-Computer Interfaces (27 papers), Neural dynamics and brain function (16 papers) and Functional Brain Connectivity Studies (16 papers). Paul Ferrari collaborates with scholars based in United States, France and Canada. Paul Ferrari's co-authors include Douglas Cheyne, Timothy P. L. Roberts, Debadatta Dash, Sonya Bells, William Gaetz, Andreea C. Bostan, Howard A. Rowley, Mitchel S. Berger, Hagen Schiffbauer and David Poeppel and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Paul Ferrari

69 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul Ferrari United States 24 1.2k 442 313 266 232 71 2.2k
Yuko Yoshimura Japan 21 943 0.8× 203 0.5× 115 0.4× 81 0.3× 213 0.9× 97 1.6k
Erik Peterson United States 32 1.7k 1.3× 738 1.7× 167 0.5× 768 2.9× 265 1.1× 97 4.4k
Junichi Yamamoto Japan 29 774 0.6× 844 1.9× 78 0.2× 334 1.3× 75 0.3× 174 3.4k
Kathrin Wagner Germany 33 728 0.6× 542 1.2× 239 0.8× 491 1.8× 135 0.6× 94 3.0k
Emmanuel Fournier France 31 397 0.3× 1.3k 3.0× 207 0.7× 978 3.7× 105 0.5× 109 3.2k
Thomas Ernst Germany 23 1.1k 0.9× 213 0.5× 426 1.4× 455 1.7× 26 0.1× 63 2.5k
Feng Pan United States 26 797 0.6× 1.3k 3.1× 193 0.6× 1.4k 5.4× 232 1.0× 83 3.4k
Xingchao Wang China 20 355 0.3× 623 1.4× 86 0.3× 49 0.2× 281 1.2× 55 1.8k
Carlos Barcia Spain 29 312 0.3× 849 1.9× 257 0.8× 588 2.2× 465 2.0× 75 2.8k
Hirohito M. Kondo Japan 25 1.1k 0.9× 255 0.6× 142 0.5× 106 0.4× 61 0.3× 72 2.3k

Countries citing papers authored by Paul Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Paul Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Ferrari

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

All Works

20 of 20 papers shown
1.
Wang, Sheng H., Paul Ferrari, Gabriele Arnulfo, et al.. (2025). Toward Unified Biomarkers for Focal Epilepsy. Journal of Neuroscience. 46(1). e0879252025–e0879252025. 1 indexed citations
2.
Dash, Debadatta, Paul Ferrari, & Jun Wang. (2024). Neural Decoding of Spontaneous Overt and Intended Speech. Journal of Speech Language and Hearing Research. 67(11). 4216–4225. 2 indexed citations
3.
Wang, Sheng H., Gabriele Arnulfo, Lino Nobili, et al.. (2024). Neuronal synchrony and critical bistability: Mechanistic biomarkers for localizing the epileptogenic network. Epilepsia. 65(7). 2041–2053. 4 indexed citations
4.
Dash, Debadatta, et al.. (2024). Automatic detection of ALS from single-trial MEG signals during speech tasks: a pilot study. Frontiers in Psychology. 15. 1114811–1114811. 2 indexed citations
5.
Dash, Debadatta, Paul Ferrari, Abbas Babajani‐Feremi, et al.. (2023). Subject Generalization in Classifying Imagined and Spoken Speech with MEG. 1–4. 2 indexed citations
6.
Dash, Debadatta, et al.. (2020). MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 8. 182320–182337. 24 indexed citations
7.
Cassotta, Antonino, Vincent Mikol, Thomas Bertrand, et al.. (2019). A single T cell epitope drives the neutralizing anti-drug antibody response to natalizumab in multiple sclerosis patients. Nature Medicine. 25(9). 1402–1407. 49 indexed citations
8.
Dash, Debadatta, Paul Ferrari, Saleem Malik, & Jun Wang. (2019). Automatic Speech Activity Recognition from MEG Signals Using Seq2Seq Learning. 340–343. 8 indexed citations
9.
Dash, Debadatta, Paul Ferrari, Saleem Malik, et al.. (2018). Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. Lecture notes in computer science. 11309. 163–172. 11 indexed citations
10.
Jobst, Cecilia, et al.. (2018). BrainWave: A Matlab Toolbox for Beamformer Source Analysis of MEG Data. Frontiers in Neuroscience. 12. 587–587. 16 indexed citations
11.
He, Timothy, Julie-Ann Gavigan, Stéphanie Vougier, et al.. (2018). A Robust Multiplex Mass Spectrometric Assay for Screening Small-Molecule Inhibitors of CD73 with Diverse Inhibition Modalities. SLAS DISCOVERY. 23(3). 264–273. 13 indexed citations
12.
Ferrari, Paul, et al.. (2015). Complementary roles of cortical oscillations in automatic and controlled processing during rapid serial tasks. NeuroImage. 118. 268–281. 28 indexed citations
13.
Deckert, Jutta, Marie-Cécile Wetzel, Laura M. Bartle, et al.. (2014). SAR650984, A Novel Humanized CD38-Targeting Antibody, Demonstrates Potent Antitumor Activity in Models of Multiple Myeloma and Other CD38+ Hematologic Malignancies. Clinical Cancer Research. 20(17). 4574–4583. 245 indexed citations
14.
Cheyne, Douglas, Paul Ferrari, & James Allan Cheyne. (2012). Intended actions and unexpected outcomes: automatic and controlled processing in a rapid motor task. Frontiers in Human Neuroscience. 6. 237–237. 29 indexed citations
15.
Mohamed, Ismail, Hiroshi Otsubo, Paul Ferrari, et al.. (2011). Neuromagnetic cerebellar activation during seizures arising from the motor cortex. Epilepsy Research. 96(3). 283–287. 9 indexed citations
16.
17.
Kubota, Mikio, et al.. (2005). The elicitation of phonological and semantic neuromagnetic field components by non-words in human auditory sentence comprehension. Neuroscience Letters. 380(1-2). 116–121. 1 indexed citations
18.
19.
Schiffbauer, Hagen, Mitchel S. Berger, Paul Ferrari, et al.. (2002). Preoperative magnetic source imaging for brain tumor surgery: a quantitative comparison with intraoperative sensory and motor mapping. Journal of neurosurgery. 97(6). 1333–1342. 85 indexed citations
20.
Roberts, Timothy P. L., Paul Ferrari, David C. Perry, Howard A. Rowley, & Mitchel S. Berger. (2000). Presurgical mapping with magnetic source imaging: comparisons with intraoperative findings. Brain Tumor Pathology. 17(2). 57–64. 26 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yuko Yoshimura Breakdown of academic impact, for papers by Erik Peterson Breakdown of academic impact, for papers by Junichi Yamamoto Breakdown of academic impact, for papers by Kathrin Wagner Breakdown of academic impact, for papers by Emmanuel Fournier Breakdown of academic impact, for papers by Thomas Ernst Breakdown of academic impact, for papers by Feng Pan Breakdown of academic impact, for papers by Xingchao Wang Breakdown of academic impact, for papers by Carlos Barcia Breakdown of academic impact, for papers by Hirohito M. Kondo
Rankless by CCL
2026