J. Hérault

2.0k citations
37 papers · 1.3k indexed · h-index 15

Impact in

Papers in

J. Hérault

34 papers receiving 1.2k citations

Peers

J. Hérault
Comparison fields: 5 of 103
  • Signal Processing 317
  • Computer Vision and Pattern Recognition 523
  • Media Technology 193
  • Analytical Chemistry 111
  • Artificial Intelligence 352
Replace B.J. Hosticka with:
B.J. Hosticka Germany
Thomas G. Stockham United States
Ramakrishnan Mukundan New Zealand
Yehoshua Y. Zeevi Israel
Y.Y. Zeevi Israel
Martin Lades Germany
Abd Rahman Ramli Malaysia
Christophe García France
S.S. Dlay United Kingdom
Song Chun Zhu United States
J. Hérault relative to B.J. Hosticka Germany B.J. Hosticka's profile →
Citations per field
00.5×4.6×
B.J. Hosticka · 1×
Citations per year

Countries citing papers authored by J. Hérault

Since Specialization
Citations

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

Fields of papers citing papers by J. Hérault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20105
2 200915
3 200913
4 200823
5 20030
6 20034
7 200289
8 20029
9 20024
10 20022
11 19971
12 1997408
13 199624
14
A Contrast and Motion-Sensitive Silicon Retina
19955
15 198924
16 1986107
17
Detection de grandeurs primitives dans un message composite par une architecture de calcul neuromimetique en apprentissage non supervise
198599
18 19831
19
[Simulation of neuronal networks (SIRENE). II. Hypothesis for decoding the message of movement carried by spindle afferences IA and II by a mechanism of synaptic plasticity].
19832
20 19803

About J. Hérault

J. Hérault is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Artificial Intelligence and Cognitive Neuroscience, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Magnetic properties of thin films (8 papers), Advanced Memory and Neural Computing (7 papers), Neural dynamics and brain function (5 papers), CCD and CMOS Imaging Sensors (5 papers), Visual perception and processing mechanisms (5 papers), Blind Source Separation Techniques (5 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Signal Processing (317 citations), Computer Vision and Pattern Recognition (523 citations), Media Technology (193 citations), Analytical Chemistry (111 citations) and Artificial Intelligence (352 citations). J. Hérault has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Sabine Süsstrunk, Dawn E. Alley, Christian Jutten, Giansalvo Cirrincione, Sabine Van Huffel, Maurizio Cirrincione, Alexandre Benoît, Barthélémy Durette, Alice Caplier and Antonio Torralba. Their work appears in journals such as IEEE Transactions on Magnetics, Perception, Neurocomputing, International Journal of Nanotechnology and Applied Physics Letters.

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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