Jacques Prado

611 citations
13 papers · 348 · h-index 6

Impact in

Papers in

Jacques Prado

12 papers receiving 324 citations

Peers

Jacques Prado
Comparison fields: 5 of 45
  • Cognitive Neuroscience 226
  • Signal Processing 86
  • Experimental and Cognitive Psychology 82
  • Human-Computer Interaction 14
  • Sensory Systems 11
Replace Urszula Malinowska with:
Urszula Malinowska Poland
Alaa Kharbouch United States
Asghar Zarei Iran
Stanislas Chambon France
Gudrun Stockmanns Germany
Tilmann Kluge Austria
ML Akin Türkiye
Evangelos Roussos United Kingdom
Erna Loretz Austria
Marion Boeck Austria
Jacques Prado relative to Urszula Malinowska Poland Urszula Malinowska's profile →
Citations per field
00.5×3.7×
Urszula Malinowska · 1×
Citations per year

Countries citing papers authored by Jacques Prado

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Prado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jacques Prado, 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 Jacques Prado Line = papers co-authored together Jacques Prado links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2007219
2 200038
3 202028
4 199418
5 199417
6 198517
7
A Paraconsistent Multi-Agent System
20025
8 19952
9
Inter- and intra-expert variability in sleep scoring: comparison between visual and automatic analysis
20181
10 20071
11
Une inversion simple de la transformée à Q constant
20111
12 19851
13 20040

About Jacques Prado

Jacques Prado is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Cognitive Neuroscience, Physiology and Signal Processing, having authored 13 papers that have together received 348 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (3 papers), Sleep and Work-Related Fatigue (2 papers), Sleep and related disorders (2 papers), Sleep and Wakefulness Research (2 papers), Optical Network Technologies (1 paper), AI-based Problem Solving and Planning (1 paper), Advanced Vision and Imaging (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (226 citations), Signal Processing (86 citations), Experimental and Cognitive Psychology (82 citations), Human-Computer Interaction (14 citations) and Sensory Systems (11 citations). Jacques Prado has collaborated with scholars based in France, Belgium and Italy. Frequent co-authors include O Benoît, Pierre Berthomier, Jérémie Mattout, Christian Berthomier, Marie‐Pia d’Ortho, Xavier Drouot, Agnès Daurat, Éric Moulines, Christine Payan and Sarah L. Chellappa. Their work appears in journals such as Clinical Neurophysiology, Proceedings of the IEEE, SLEEP, Journal of Lightwave Technology and Psychopharmacology.

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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