David Doukhan

468 citations
15 papers · 207 · h-index 3

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Visual Attention and Saliency Detection
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Face Recognition and Perception

Papers in

David Doukhan

12 papers receiving 196 citations

Peers

David Doukhan
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 86
  • Cognitive Neuroscience 57
  • Artificial Intelligence 75
  • Signal Processing 24
  • Computational Mathematics 1
Replace Soopil Kim with:
Soopil Kim South Korea
Stephan Tschechne Germany
Said Ghoniemy Egypt
Aaron Chadha United Kingdom
Loong Fah Cheong Singapore
Auxiliadora Sarmiento Spain
Tiejun Huang China
Prima Dewi Purnamasari Indonesia
Guangyu Wang China
Taras Kowaliw France
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Citations per field
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Citations per year

Countries citing papers authored by David Doukhan

Since Specialization
Citations

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

Fields of papers citing papers by David Doukhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside David Doukhan, 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 David Doukhan Line = papers co-authored together David Doukhan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2009183
2
Investigating the Use of Semi-Supervised Convolutional Neural Network Models for Speech/Music Classification and Segmentation
20177
3
Auditory-visual virtual environments to treat dog phobia
20086
4 20122
5 20182
6 20181
7 20091
8
A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation
20091
9 20231
10
Pendant le confinement, le temps de parole des femmes a baissé à la télévision et à la radio
20201
11 20211
12 20241
13 20240
14
Quantifier les inégalités de genre dans les médias : approches computationnelles
20230
15 20150

About David Doukhan

David Doukhan is a scholar working on Artificial Intelligence, Gender Studies, Molecular Biology, Biophysics and Political Science and International Relations, having authored 15 papers that have together received 207 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Speech Recognition and Synthesis (3 papers), Cell Image Analysis Techniques (3 papers), Media, Gender, and Advertising (2 papers), Multiculturalism, Politics, Migration, Gender (2 papers), Music and Audio Processing (2 papers), Speech and dialogue systems (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (86 citations), Cognitive Neuroscience (57 citations), Artificial Intelligence (75 citations), Signal Processing (24 citations) and Computational Mathematics (1 citation). David Doukhan has collaborated with scholars based in France and United States. Frequent co-authors include James J. DiCarlo, David Cox, Nicolas Pinto, Isabelle Viaud‐Delmon, Clara Suied, Olivier Warusfel, Nicolas Bonneel, Marie Tahon, Cécile Méadel and Anthony Larcher. Their work appears in journals such as Language Resources and Evaluation, PLoS Computational Biology, ARCA (Università Ca' Foscari Venezia), Communication and DSpace@MIT (Massachusetts Institute of Technology).

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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