Daniel Crepeau

8 papers receiving 377 citations

Daniel Crepeau's Hit Papers

Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals 2022 · 170 citations
1700+1+2Years since publication50100150

Peers

Daniel Crepeau
Comparison fields: 5 of 85
  • Health Informatics 15
  • Cognitive Neuroscience 177
  • Psychiatry and Mental health 76
  • Neurology 75
  • Signal Processing 43
Replace Mustafa Aykut Kural with:
Mustafa Aykut Kural Denmark
Petr Nejedlý Czechia
Mona Nasseri United States
Jay Pathmanathan United States
Alexandra-Maria Tăuţan Romania
Andrzej W. Przybyszewski United States
Petr Klimeš Czechia
Mar Estarellas United Kingdom
Andrés Hoyos-Idrobo France
Daniel Crepeau relative to Mustafa Aykut Kural Denmark Mustafa Aykut Kural's profile →
Citations per field
00.5×6.7×
Mustafa Aykut Kural · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Crepeau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Crepeau Line = papers co-authored together Daniel Crepeau links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals
Hit paper breakdown →
2022170
2 201497
3 201559
4 202121
5 202111
6 201610
7 20246
8 20184

About Daniel Crepeau

Daniel Crepeau is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Neurology and Computational Mathematics, having authored 8 papers that have together received 378 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Epilepsy research and treatment (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Tensor decomposition and applications (1 paper), Integrated Circuits and Semiconductor Failure Analysis (1 paper), Neurological disorders and treatments (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and VLSI and Analog Circuit Testing (1 paper). The work is most often cited by research in Health Informatics (15 citations), Cognitive Neuroscience (177 citations), Psychiatry and Mental health (76 citations), Neurology (75 citations) and Signal Processing (43 citations). Daniel Crepeau has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Gregory A. Worrell, Benjamin H. Brinkmann, Edward E. Patterson, Vincent M. Vasoli, Charles H. Vite, Brian Litt, James Jeffry Howbert, Dina Katabi, Guo Zhang and Yingcheng Liu. Their work appears in journals such as PLoS ONE, Frontiers in Neurology, Nature Medicine, Brain Communications and Frontiers in Veterinary Science.

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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