Patrick Héas

648 citations
29 papers · 378 · h-index 10

Impact in

Papers in

Patrick Héas

27 papers receiving 351 citations

Peers

Patrick Héas
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 198
  • Computational Mechanics 113
  • Computer Graphics and Computer-Aided Design 14
  • Media Technology 34
  • Environmental Engineering 54
Replace Stephen Schiller with:
Stephen Schiller United States
Didier Auroux France
A. Jalobeanu France
Giulio Pellegrino France
Christoph Traxler Austria
Jerry Tessendorf United States
A. F. Hasler United States
Paul Ruhnau Germany
R. A. Richter Germany
Ivan Pippi Italy
Patrick Héas relative to Stephen Schiller United States Stephen Schiller's profile →
Citations per field
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Citations per year

Countries citing papers authored by Patrick Héas

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Héas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Patrick Héas, 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 Patrick Héas Line = papers co-authored together Patrick Héas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200755
2 201251
3 201351
4 200845
5 200534
6 200831
7 201223
8 200819
9 201215
10 201114
11 20216
12
Dense Motion Estimation from Eye-Safe Aerosol Lidar Data
20104
13 20204
14 20164
15
Two-Component Horizontal Motion Vectors from Scanning Eye-Safe Aerosol Lidar
20102
16
Selecting Reduced Models in the Cross-Entropy Method
20182
17
Low-rank Approximation and Dynamic Mode Decomposition.
20162
18 20042
19 20062
20 20112

About Patrick Héas

Patrick Héas is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Computational Mechanics, having authored 29 papers that have together received 378 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (11 papers), Advanced Vision and Imaging (10 papers), Image and Signal Denoising Methods (8 papers), Probabilistic and Robust Engineering Design (6 papers), Meteorological Phenomena and Simulations (5 papers), Model Reduction and Neural Networks (5 papers), Wind and Air Flow Studies (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Computational Mechanics (113 citations), Computer Graphics and Computer-Aided Design (14 citations), Media Technology (34 citations) and Environmental Engineering (54 citations). Patrick Héas has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Étienne Mémin, Étienne Mémin, Pierre Dérian, Cédric Herzet, Dominique Heitz, Nicolas Papadakis, Mihai Datcu, Julien Carlier, Pablo D. Mininni and Thomas Corpetti. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Tellus A Dynamic Meteorology and Oceanography, Journal of Nonlinear Science, IEEE Transactions on Image Processing and Numerical Mathematics Theory Methods and Applications.

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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