Thomas Batard

460 citations
36 papers · 268 · h-index 8

Impact in

Papers in

    • Image and Signal Denoising Methods 16
    • Medical Image Segmentation Techniques 13
    • Advanced Image Processing Techniques 5
    • Image Enhancement Techniques 4
    • Digital Image Processing Techniques 4
    • Advanced Image Fusion Techniques 11

Thomas Batard

32 papers receiving 247 citations

Peers

Thomas Batard
Comparison fields: 5 of 56
  • Media Technology 101
  • Computer Vision and Pattern Recognition 193
  • Computational Mathematics 3
  • Architecture 6
  • Biophysics 12
Replace Sibel Tarı with:
Sibel Tarı Türkiye
Sylvain Fischer Spain
Zeeshan Hayder Australia
Xiaoran Jiang France
Stepan Tulyakov Switzerland
Liyuan Pan China
Alessandro Rizzi Italy
Xingran Liao China
Stanislav Frolov Germany
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 201731
3 200830
4 201823
5 201414
6 201311
7 20219
8 20188
9 20117
10
Fourier Transform for Color Image Processing
20116
11 20135
12 20165
13 20104
14 20174
15 20104
16 20093
17 20073
18 20203
19 20193
20 20163

About Thomas Batard

Thomas Batard is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Applied Mathematics, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics, having authored 36 papers that have together received 268 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (16 papers), Medical Image Segmentation Techniques (13 papers), Advanced Image Fusion Techniques (11 papers), Mathematical Analysis and Transform Methods (8 papers), Advanced Image Processing Techniques (5 papers), Image Enhancement Techniques (4 papers), Digital Image Processing Techniques (4 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Media Technology (101 citations), Computer Vision and Pattern Recognition (193 citations), Computational Mathematics (3 citations), Architecture (6 citations) and Biophysics (12 citations). Thomas Batard has collaborated with scholars based in Spain, France and Mexico. Frequent co-authors include Marcelo Bertalmı́o, Stacey Levine, Michel Berthier, Nir Sochen, Josep Blat, Alun Evans, Jesús Malo, Gloria Haro, Coloma Ballester and Ji Hyun Kim. Their work appears in journals such as Journal of Mathematical Imaging and Vision, SIAM Journal on Imaging Sciences, Journal of Vision, Lecture notes in computer science and IEEE Transactions on Image Processing.

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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