Patrick Héas
Impact in
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- Computational Mechanics top 10%
- Fluid Dynamics and Turbulent Flows
Papers in
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- Advanced Vision and Imaging 17
- Advanced Image Processing Techniques 16
- Image and Signal Denoising Methods 10
- Image Enhancement Techniques 5
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- Probabilistic and Robust Engineering Design 7
- Co-authors
- Étienne Mémin (17 shared papers)Étienne Mémin (7 shared papers)Cédric Herzet (11 shared papers)Pierre Dérian (6 shared papers)Dominique Heitz (7 shared papers)Mihai Datcu (4 shared papers)Nicolas Papadakis (6 shared papers)Pablo D. Mininni (4 shared papers)
In The Last Decade
Patrick Héas
35 papers receiving 452 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 266
- Computational Mechanics 129
- Computer Graphics and Computer-Aided Design 23
- Media Technology 42
- Atmospheric Science 74
Countries citing papers authored by Patrick Héas
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
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 20 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.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 58 | |
| 2 | 2012 | 56 | |
| 3 | 2013 | 54 | |
| 4 | 2008 | 47 | |
| 5 | 2005 | 44 | |
| 6 | 2008 | 34 | |
| 7 | 2012 | 25 | |
| 8 | 2012 | 23 | |
| 9 | 2008 | 22 | |
| 10 | 2011 | 20 | |
| 11 | 2012 | 18 | |
| 12 | 2009 | 15 | |
| 13 | 2021 | 8 | |
| 14 | 2007 | 6 | |
| 15 | 2003 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2020 | 4 | |
| 18 | Dense Motion Estimation from Eye-Safe Aerosol Lidar Data | 2010 | 4 |
| 19 | 2011 | 3 | |
| 20 | 2008 | 3 |
About Patrick Héas
Patrick Héas is a scholar working on Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty, Atmospheric Science, Environmental Engineering and Statistical and Nonlinear Physics, having authored 40 papers that have together received 478 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (17 papers), Advanced Image Processing Techniques (16 papers), Image and Signal Denoising Methods (10 papers), Meteorological Phenomena and Simulations (8 papers), Probabilistic and Robust Engineering Design (7 papers), Image Enhancement Techniques (5 papers), Model Reduction and Neural Networks (5 papers) and Wind and Air Flow Studies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Computational Mechanics (129 citations), Computer Graphics and Computer-Aided Design (23 citations), Media Technology (42 citations) and Atmospheric Science (74 citations). Patrick Héas has collaborated with scholars based in France, Germany and Argentina. Frequent co-authors include Étienne Mémin, Étienne Mémin, Cédric Herzet, Pierre Dérian, Dominique Heitz, Mihai Datcu, Nicolas Papadakis, Pablo D. Mininni, Julien Carlier and Thomas Corpetti. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Tellus A Dynamic Meteorology and Oceanography, IEEE Transactions on Image Processing, Archives of Computational Methods in Engineering 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.