Patrick Héas

648 total citations
29 papers, 378 citations indexed

About

Patrick Héas is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Statistics, Probability and Uncertainty. According to data from OpenAlex, Patrick Héas has authored 29 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Atmospheric Science and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Patrick Héas's work include Advanced Image Processing Techniques (11 papers), Advanced Vision and Imaging (10 papers) and Image and Signal Denoising Methods (8 papers). Patrick Héas is often cited by papers focused on Advanced Image Processing Techniques (11 papers), Advanced Vision and Imaging (10 papers) and Image and Signal Denoising Methods (8 papers). Patrick Héas collaborates with scholars based in France, Germany and United States. Patrick Héas's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Patrick Héas

27 papers receiving 351 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Patrick Héas France	10	198	113	59	54	54	29	378
Stephen Schiller United States	13	170 0.9×	53 0.5×	92 1.6×	33 0.6×	67 1.2×	50	523
A. Jalobeanu France	12	265 1.3×	62 0.5×	20 0.3×	50 0.9×	13 0.2×	42	471
Jerry Tessendorf United States	9	149 0.8×	144 1.3×	26 0.4×	29 0.5×	39 0.7×	27	462
Paolo Marcoionni Italy	12	62 0.3×	21 0.2×	57 1.0×	76 1.4×	131 2.4×	45	432
Christoph Traxler Austria	11	152 0.8×	58 0.5×	19 0.3×	24 0.4×	32 0.6×	37	443
Bainian Liu China	8	25 0.1×	29 0.3×	67 1.1×	35 0.6×	57 1.1×	32	284
Paul Ruhnau Germany	4	157 0.8×	121 1.1×	11 0.2×	11 0.2×	11 0.2×	7	258
Ivan Pippi Italy	14	143 0.7×	41 0.4×	114 1.9×	157 2.9×	171 3.2×	81	697
Jiangbo Xi China	10	46 0.2×	38 0.3×	47 0.8×	17 0.3×	38 0.7×	37	292
R. A. Richter Germany	11	276 1.4×	196 1.7×	244 4.1×	156 2.9×	283 5.2×	21	767

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-authorship network of co-authors of Patrick Héas

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Héas. A scholar is included among the top collaborators of Patrick Héas 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 Patrick Héas. Patrick Héas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cérou, Frédéric, Patrick Héas, & Mathias Rousset. (2025). Adaptive Reduced Multilevel Splitting. Statistics and Computing. 36(1).

Héas, Patrick, Frédéric Cérou, & M. Rousset. (2023). Chilled sampling for uncertainty quantification: a motivation from a meteorological inverse problem ^*. Inverse Problems. 40(2). 25004–25004. 1 indexed citations

Héas, Patrick & Cédric Herzet. (2021). Low-Rank Dynamic Mode Decomposition: An Exact and Tractable Solution. Journal of Nonlinear Science. 32(1). 6 indexed citations

Héas, Patrick, Cédric Herzet, & Benoît Combès. (2020). Generalized Kernel-Based Dynamic Mode Decomposition. arXiv (Cornell University). 3877–3881. 4 indexed citations

Héas, Patrick. (2018). Selecting Reduced Models in the Cross-Entropy Method. arXiv (Cornell University). 2 indexed citations

Héas, Patrick & Cédric Herzet. (2017). Reduced Modeling of Unknown Trajectories. Archives of Computational Methods in Engineering. 25(1). 87–101. 1 indexed citations

Héas, Patrick & Cédric Herzet. (2016). Low-rank Approximation and Dynamic Mode Decomposition.. arXiv (Cornell University). 2 indexed citations

Dérian, Pierre, Patrick Héas, Cédric Herzet, & Étienne Mémin. (2013). Wavelets and Optical Flow Motion Estimation. Numerical Mathematics Theory Methods and Applications. 6(1). 116–137. 51 indexed citations

Héas, Patrick, Cédric Herzet, Étienne Mémin, Dominique Heitz, & Pablo D. Mininni. (2012). Bayesian Estimation of Turbulent Motion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(6). 1343–1356. 15 indexed citations

10.

Héas, Patrick, Étienne Mémin, Dominique Heitz, & Pablo D. Mininni. (2012). Power laws and inverse motion modelling: application to turbulence measurements from satellite images. Tellus A Dynamic Meteorology and Oceanography. 64(1). 10962–10962. 23 indexed citations

11.

Dérian, Pierre, et al.. (2012). Divergence-Free Wavelets and High Order Regularization. International Journal of Computer Vision. 103(1). 80–99. 51 indexed citations

12.

Dérian, Pierre, Patrick Héas, & Étienne Mémin. (2011). WAVELETS TO RECONSTRUCT TURBULENCE MULTIFRACTALS FROM EXPERIMENTAL IMAGE SEQUENCES. 1–6. 2 indexed citations

13.

Héas, Patrick, Cédric Herzet, & Étienne Mémin. (2011). Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation. IEEE Transactions on Image Processing. 21(4). 1437–1451. 14 indexed citations

14.

Mayor, Shane D., Pierre Dérian, Patrick Héas, & Étienne Mémin. (2010). Two-Component Horizontal Motion Vectors from Scanning Eye-Safe Aerosol Lidar. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

15.

Dérian, Pierre, Patrick Héas, Étienne Mémin, & Shane D. Mayor. (2010). Dense Motion Estimation from Eye-Safe Aerosol Lidar Data. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations

16.

Héas, Patrick & Étienne Mémin. (2008). Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences. IEEE Transactions on Geoscience and Remote Sensing. 46(8). 2385–2396. 31 indexed citations

17.

Héas, Patrick, et al.. (2007). Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing. 45(12). 4087–4104. 55 indexed citations

18.

Héas, Patrick, Nicolas Papadakis, & Étienne Mémin. (2007). Time-consistent estimators of 2D/3D motion of atmospheric layers from pressure images. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

19.

Héas, Patrick, Étienne Mémin, & Nicolas Papadakis. (2006). Dense Estimation of Layer Motions in the Atmosphere. 1–4. 2 indexed citations

20.

Héas, Patrick, Philippe Marthon, Mihai Datcu, & Alain Giros. (2004). Image time-series mining. 4. 2420–2423. 2 indexed citations

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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