Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
Countries citing papers authored by Jeanny Hérault
Since
Specialization
Citations
This map shows the geographic impact of Jeanny 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 Jeanny Hérault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeanny Hérault more than expected).
This network shows the impact of papers produced by Jeanny 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 Jeanny Hérault. The network helps show where Jeanny Hérault may publish in the future.
Co-authorship network of co-authors of Jeanny Hérault
This figure shows the co-authorship network connecting the top 25 collaborators of Jeanny Hérault.
A scholar is included among the top collaborators of Jeanny Hérault based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Jeanny Hérault. Jeanny Hérault is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Hérault, Jeanny. (2010). Vision: Images, Signals and Neural Networks: Models of Neural Processing in Visual Perception. Medical Entomology and Zoology.6 indexed citations
Alleysson, David, Sabine Süsstrunk, & Jeanny Hérault. (2003). Accurate Color Demosaicing inspired by the Human Visual System. Infoscience (Ecole Polytechnique Fédérale de Lausanne).1 indexed citations
Hérault, Jeanny, et al.. (2002). Searching for the embedded manifolds in high- dimensional data, problems and unsolved questions. The European Symposium on Artificial Neural Networks. 39(2). 173–184.8 indexed citations
7.
Alleysson, David & Jeanny Hérault. (2001). Interpolation d'images couleurs sous échantillonnées par un modèle de perception.2 indexed citations
8.
Guyader, Nathalie & Jeanny Hérault. (2001). Représentation espace-fréquence pour la catégorisation d'images.2 indexed citations
Torralba, Antonio & Jeanny Hérault. (1997). From retinal circuits to motion processing: a neuromorphic approach to velocity estimation.. The European Symposium on Artificial Neural Networks.8 indexed citations
12.
Torralba, Antonio & Jeanny Hérault. (1997). Circuits neuromorphiques pour l'estimation du mouvement.
13.
Osowski, S. & Jeanny Hérault. (1995). Signal Flow Graphs as an Efficient Tool for Gradient and Exact Hessian Determination.. Complex Systems. 9.4 indexed citations
14.
Hérault, Jeanny, et al.. (1995). CCA : "Curvilinear component analysis".13 indexed citations
Jutten, Christian & Jeanny Hérault. (1991). Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal Processing. 24(1). 1–10.1658 indexed citations breakdown →
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.