Gérard Dray

2.1k citations
38 papers · 415 indexed · h-index 11

Impact in

    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Transcranial Magnetic Stimulation Studies

Papers in

Gérard Dray

30 papers receiving 387 citations

Peers

Gérard Dray
Comparison fields: 5 of 84
  • Cognitive Neuroscience 130
  • Neurology 45
  • Radiology, Nuclear Medicine and Imaging 124
  • Cardiology and Cardiovascular Medicine 67
  • Rehabilitation 20
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Citations per year

Countries citing papers authored by Gérard Dray

Since Specialization
Citations

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

Fields of papers citing papers by Gérard Dray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gérard Dray, 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 Gérard Dray Line = papers co-authored together Gérard Dray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201372
2 200852
3 201446
4 201341
5 201929
6 201325
7
Web Analyzing Traffic Challenge: Description and Results
200724
8 200019
9 202114
10 200114
11 202310
12
Opinion Mining From Blogs
20099
13 20238
14 20195
15 20235
16 20225
17 20244
18
Détection d'opinion : Apprenons les bons adjectifs !
20084
19 20214
20 20224

About Gérard Dray

Gérard Dray is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Information Systems, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 38 papers that have together received 415 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Optical Imaging and Spectroscopy Techniques (6 papers), Advanced Text Analysis Techniques (6 papers), Natural Language Processing Techniques (5 papers), Muscle activation and electromyography studies (4 papers), Web Data Mining and Analysis (4 papers), Neural and Behavioral Psychology Studies (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Cognitive Neuroscience (130 citations), Neurology (45 citations), Radiology, Nuclear Medicine and Imaging (124 citations), Cardiology and Cardiovascular Medicine (67 citations) and Rehabilitation (20 citations). Gérard Dray has collaborated with scholars based in France, Ireland and Germany. Frequent co-authors include Stéphane Perrey, Gérard Derosière, Kévin Mandrick, Tomás Ward, Jean‐Paul Micallef, Pascal Poncelet, Mathieu Roche, Makii Muthalib, D.W. Pearson and John C. Rothwell. Their work appears in journals such as Annals of Physical and Rehabilitation Medicine, ACM Transactions on Software Engineering and Methodology, Journal of Diabetes Science and Technology, IEEE Software and Neuroscience Research.

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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