Gérard Dreyfus

7.2k citations
144 papers · 4.2k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Gérard Dreyfus

138 papers receiving 3.9k citations

Hit Papers

Neural Networks: Methodology and Applications 2010 · 400 citations
4002010202620152020100200300400

Peers

Gérard Dreyfus
Comparison fields: 5 of 182
  • Signal Processing 552
  • Artificial Intelligence 1.5k
  • Cognitive Neuroscience 688
  • Control and Systems Engineering 508
  • Computer Vision and Pattern Recognition 399
Replace Babak Nadjar Araabi with:
Babak Nadjar Araabi Iran
Zhe Wang China
Todd K. Leen United States
Martin F. Møller Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Gérard Dreyfus

Since Specialization
Citations

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

Fields of papers citing papers by Gérard Dreyfus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20222
4 202015
5 202034
6 201918
7 201897
8 201727
9
Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study
20141
10
An educational platform to capture, visualize and analyze rare singing
20145
11 20137
12
Spatial projection of Tachycardia electrograms for morphology discrimination in implantable cardioverter defibrillators
20091
13
A wavelet transform for atrial fibrillation Cycle Length measurements
20092
14
Efficient modeling of ECG waves for morphology tracking
20099
15
Apprentissage statistique : Réseaux de neurones - Cartes topologiques - Machines à vecteurs supports
200816
16 200816
17
Oscillatory activity, behaviour and memory, new approaches for LFP signal analysis
20034
18
Training Context-Sensitive Neural Networks with Few Relevant Examples for the TREC-9 Routing.
20004
19
Comment on "Discrete-time recurrent neural network architectures: A unifying review".
19980
20
Placement and channel routing by simulated annealing: some recent developments
19896

About Gérard Dreyfus

Gérard Dreyfus is a scholar working on Signal Processing, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 144 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (35 papers), Neural dynamics and brain function (20 papers), Speech and Audio Processing (19 papers), EEG and Brain-Computer Interfaces (18 papers), Blind Source Separation Techniques (13 papers), Fault Detection and Control Systems (12 papers), Indoor and Outdoor Localization Technologies (9 papers) and Power Transformer Diagnostics and Insulation (9 papers). The work is most often cited by research in Signal Processing (552 citations), Artificial Intelligence (1.5k citations), Cognitive Neuroscience (688 citations), Control and Systems Engineering (508 citations) and Computer Vision and Pattern Recognition (399 citations). Gérard Dreyfus has collaborated with scholars based in France, United States and Japan. Frequent co-authors include L. Personnaz, Yacine Oussar, J. Lewiner, Isabelle Guyon, Isabelle Guyon, François Vialatte, Rémi Dubois, C. Alquié, P. Roussel-Ragot and S. Knerr. Their work appears in journals such as Neurocomputing, Neural Computation, Physical review. B, Condensed matter, Journal of Applied Physics and Journal of Chemical Information and Modeling.

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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