Thomas Batard

451 total citations
23 papers, 216 citations indexed

About

Thomas Batard is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Applied Mathematics. According to data from OpenAlex, Thomas Batard has authored 23 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 4 papers in Applied Mathematics. Recurrent topics in Thomas Batard's work include Image and Signal Denoising Methods (10 papers), Medical Image Segmentation Techniques (9 papers) and Advanced Image Fusion Techniques (7 papers). Thomas Batard is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Medical Image Segmentation Techniques (9 papers) and Advanced Image Fusion Techniques (7 papers). Thomas Batard collaborates with scholars based in Spain, France and United States. Thomas Batard's co-authors include Marcelo Bertalmı́o, Stacey Levine, Michel Berthier, Josep Blat, Nir Sochen, Alun Evans, Jesús Malo, Gloria Haro, Coloma Ballester and Gabriele Steidl and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Journal of Vision.

In The Last Decade

Thomas Batard

22 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Batard Spain 7 157 84 24 15 15 23 216
Erwin B. Bellers United States 9 353 2.2× 51 0.6× 7 0.3× 10 0.7× 2 0.1× 32 415
Henryk Palus Poland 8 102 0.6× 46 0.5× 27 1.1× 19 1.3× 2 0.1× 42 196
Sanjay Ghosh India 11 156 1.0× 74 0.9× 25 1.0× 8 0.5× 2 0.1× 29 243
David Helbert France 9 147 0.9× 64 0.8× 5 0.2× 10 0.7× 3 0.2× 28 249
Balu Adsumilli United States 12 497 3.2× 137 1.6× 9 0.4× 18 1.2× 2 0.1× 38 546
Tijana Ružić Belgium 6 201 1.3× 26 0.3× 32 1.3× 6 0.4× 2 0.1× 17 262
Evgeniy Upenik Switzerland 8 289 1.8× 61 0.7× 25 1.0× 6 0.4× 4 0.3× 18 344
Nayar United States 5 271 1.7× 81 1.0× 11 0.5× 37 2.5× 2 0.1× 6 328
Sylvain Fischer Spain 9 242 1.5× 163 1.9× 23 1.0× 8 0.5× 1 0.1× 14 321
Domonkos Varga Hungary 12 358 2.3× 155 1.8× 7 0.3× 23 1.5× 2 0.1× 37 416

Countries citing papers authored by Thomas Batard

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Batard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Batard

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Batard. A scholar is included among the top collaborators of Thomas Batard 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 Thomas Batard. Thomas Batard 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.
Batard, Thomas, Gloria Haro, & Coloma Ballester. (2021). DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation. SIAM Journal on Imaging Sciences. 14(4). 1816–1847. 7 indexed citations
2.
Batard, Thomas, et al.. (2020). Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience. Journal of Mathematical Imaging and Vision. 62(9). 1173–1194. 3 indexed citations
3.
Batard, Thomas, et al.. (2019). Hyperparameter-free losses for model-based monocular reconstruction. QRU Quaderns de Recerca en Urbanisme. 1 indexed citations
4.
Batard, Thomas, et al.. (2018). Derivatives and inverse of cascaded linear+nonlinear neural models. PLoS ONE. 13(10). e0201326–e0201326. 19 indexed citations
5.
Batard, Thomas & Marcelo Bertalmı́o. (2018). A Geometric Model of Brightness Perception and Its Application to Color Images Correction. Journal of Mathematical Imaging and Vision. 60(6). 849–881. 6 indexed citations
6.
Batard, Thomas, et al.. (2017). Optimizing layout using spatial quality metrics and user preferences. Graphical Models. 93. 25–38. 26 indexed citations
7.
Bertalmı́o, Marcelo, et al.. (2017). The Wilson-Cowan model describes Contrast Response and Subjective Distortion. Journal of Vision. 17(10). 657–657. 4 indexed citations
8.
Batard, Thomas, et al.. (2016). Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output. Electronic Imaging. 28(18). 1–8. 2 indexed citations
9.
Batard, Thomas, et al.. (2016). Local denoising based on curvature smoothing can visually outperform non-local methods on photographs with actual noise. Repositori digital de la UPF (Universitat Pompeu Fabra). 2. 3111–3115. 2 indexed citations
10.
Kim, Ji Hyun, Thomas Batard, & Marcelo Bertalmı́o. (2016). Retinal Processing Optimizes Contrast Coding. Journal of Vision. 16(12). 1151–1151. 3 indexed citations
11.
Batard, Thomas & Marcelo Bertalmı́o. (2015). A class of nonlocal variational problems on a vector bundle for color image local contrast reduction/enhancement. Repositori digital de la UPF (Universitat Pompeu Fabra). 2(3). 187–236. 2 indexed citations
12.
Batard, Thomas, et al.. (2015). A Decomposition Framework for Image Denoising Algorithms. IEEE Transactions on Image Processing. 25(1). 388–399. 68 indexed citations
13.
Batard, Thomas & Marcelo Bertalmı́o. (2014). On Covariant Derivatives and Their Applications to Image Regularization. SIAM Journal on Imaging Sciences. 7(4). 2393–2422. 12 indexed citations
14.
Batard, Thomas & Nir Sochen. (2013). A Class of Generalized Laplacians on Vector Bundles Devoted to Multi-Channel Image Processing. Journal of Mathematical Imaging and Vision. 48(3). 517–543. 9 indexed citations
15.
Batard, Thomas, et al.. (2011). Fourier Transform for Color Image Processing. 4 indexed citations
16.
Batard, Thomas & Michel Berthier. (2010). Clifford Algebra Bundles to Multidimensional Image Segmentation. Advances in Applied Clifford Algebras. 20(3-4). 489–516. 4 indexed citations
17.
Batard, Thomas. (2010). Clifford Bundles: A Common Framework for Image, Vector Field, and Orthonormal Frame Field Regularization. SIAM Journal on Imaging Sciences. 3(3). 670–701. 3 indexed citations
18.
Batard, Thomas & Michel Berthier. (2009). Heat kernels of generalized laplacians-application to color image smoothing. 461–464. 3 indexed citations
19.
Batard, Thomas, et al.. (2008). A Metric Approach to nD Images Edge Detection with Clifford Algebras. Journal of Mathematical Imaging and Vision. 33(3). 296–312. 26 indexed citations
20.
Batard, Thomas, et al.. (2007). Blockwise similarity in [0,1] via triangular norms and Sugeno integrals - Application to cluster validity. Proceedings of ... IEEE International Conference on Fuzzy Systems. 17. 1–6. 3 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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