Daniel Crepeau

638 total citations · 1 hit paper
8 papers, 366 citations indexed

About

Daniel Crepeau is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel Crepeau has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Psychiatry and Mental health and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel Crepeau's work include Epilepsy research and treatment (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Daniel Crepeau is often cited by papers focused on Epilepsy research and treatment (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Daniel Crepeau collaborates with scholars based in United States, Czechia and Canada. Daniel Crepeau's co-authors include Gregory A. Worrell, Benjamin H. Brinkmann, Edward E. Patterson, Vincent M. Vasoli, Charles H. Vite, James Jeffry Howbert, Brian Litt, Yuzhe Yang, Mithri R. Junna and Dina Katabi and has published in prestigious journals such as Nature Medicine, PLoS ONE and Frontiers in Human Neuroscience.

In The Last Decade

Daniel Crepeau

8 papers receiving 366 citations

Hit Papers

Artificial intelligence-enabled detection and assessment ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Crepeau United States 7 183 92 76 75 48 8 366
Yan Tang China 14 299 1.6× 43 0.5× 49 0.6× 83 1.1× 36 0.8× 32 577
Yue-Loong Hsin Taiwan 10 172 0.9× 82 0.9× 128 1.7× 62 0.8× 67 1.4× 23 380
Petr Nejedlý Czechia 16 428 2.3× 152 1.7× 111 1.5× 65 0.9× 40 0.8× 37 613
Jaishree Narayanan United States 9 251 1.4× 174 1.9× 84 1.1× 78 1.0× 14 0.3× 15 444
Evy Cleeren Belgium 12 368 2.0× 227 2.5× 101 1.3× 37 0.5× 81 1.7× 22 517
Daniel E. Payne Australia 8 348 1.9× 243 2.6× 73 1.0× 37 0.5× 22 0.5× 9 444
David Martín-López United Kingdom 10 232 1.3× 118 1.3× 78 1.0× 127 1.7× 17 0.4× 17 394
Mona Nasseri United States 12 409 2.2× 298 3.2× 81 1.1× 80 1.1× 54 1.1× 35 603
Kaat Vandecasteele Belgium 10 337 1.8× 202 2.2× 48 0.6× 31 0.4× 72 1.5× 12 416
Peyvand Ghaderyan Iran 12 192 1.0× 42 0.5× 31 0.4× 81 1.1× 91 1.9× 21 375

Countries citing papers authored by Daniel Crepeau

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Crepeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Crepeau

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

All Works

8 of 8 papers shown
1.
Varatharajah, Yogatheesan, Ellen Dicks, Benjamin H. Brinkmann, et al.. (2024). Data-driven retrieval of population-level EEG features and their role in neurodegenerative diseases. Brain Communications. 6(4). fcae227–fcae227. 6 indexed citations
2.
Yang, Yuzhe, Yuan Yuan, Guo Zhang, et al.. (2022). Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals. Nature Medicine. 28(10). 2207–2215. 160 indexed citations breakdown →
3.
Attia, Tal Pal, Daniel Crepeau, Václav Křemen, et al.. (2021). Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation. Frontiers in Neurology. 12. 704170–704170. 21 indexed citations
4.
Balzekas, Irena, Vladimir Sladky, Petr Nejedlý, et al.. (2021). Invasive Electrophysiology for Circuit Discovery and Study of Comorbid Psychiatric Disorders in Patients With Epilepsy: Challenges, Opportunities, and Novel Technologies. Frontiers in Human Neuroscience. 15. 702605–702605. 11 indexed citations
5.
Crepeau, Daniel, et al.. (2018). Exploiting built-in delay lines for applying launch-on-capture at-speed testing on self-timed circuits. PolyPublie (École Polytechnique de Montréal). 1–6. 4 indexed citations
6.
Coles, Lisa D., Ilo E. Leppik, Gregory A. Worrell, et al.. (2016). Intravenous Topiramate: Pharmacokinetics in Dogs with Naturally Occurring Epilepsy. Frontiers in Veterinary Science. 3. 107–107. 10 indexed citations
7.
Brinkmann, Benjamin H., Edward E. Patterson, Charles H. Vite, et al.. (2015). Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy. PLoS ONE. 10(8). e0133900–e0133900. 59 indexed citations
8.
Howbert, James Jeffry, Edward E. Patterson, S. Matt Stead, et al.. (2014). Forecasting Seizures in Dogs with Naturally Occurring Epilepsy. PLoS ONE. 9(1). e81920–e81920. 95 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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