V. Caselles

4.2k citations
13 papers · 2.8k indexed · 1 hit paper · h-index 9

Impact in

Papers in

V. Caselles

13 papers receiving 2.6k citations

Hit Papers

Image inpainting 2000 · 2.4k citations
2.4k200020262008201750010001.5k2.0k

Peers

V. Caselles
Comparison fields: 5 of 117
  • Computer Graphics and Computer-Aided Design 648
  • Computer Vision and Pattern Recognition 2.3k
  • Computational Mathematics 41
  • Media Technology 294
  • Computational Mechanics 457
Replace Coloma Ballester with:
Coloma Ballester Spain
Christine Guillemot France
David H. Marimont United States
Olivier Lézoray France
Yann Gousseau France
Timothy J. Purcell United States
Abderrahim Elmoataz France
Jean–François Aujol France
Issei Fujishiro Japan
Tieyong Zeng Hong Kong
V. Caselles relative to Coloma Ballester Spain Coloma Ballester's profile →
Citations per field
00.5×1.5×
Coloma Ballester · 1×
Citations per year

Countries citing papers authored by V. Caselles

Since Specialization
Citations

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

Fields of papers citing papers by V. Caselles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside V. Caselles, 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 V. Caselles Line = papers co-authored together V. Caselles links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201223
2 20123
3 20117
4 20102
5 200910
6 200563
7 200420
8 200488
9 20033
10 200232
11
Image inpainting
Hit paper breakdown →
20002382
12 1999117
13 199310

About V. Caselles

V. Caselles is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Applied Mathematics, Computational Theory and Mathematics and Surfaces, Coatings and Films, having authored 13 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Nonlinear Partial Differential Equations (3 papers), Advanced Mathematical Modeling in Engineering (3 papers), Advanced Numerical Analysis Techniques (2 papers), Stability and Controllability of Differential Equations (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (648 citations), Computer Vision and Pattern Recognition (2.3k citations), Computational Mathematics (41 citations), Media Technology (294 citations) and Computational Mechanics (457 citations). V. Caselles has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Guillermo Sapiro, Marcelo Bertalmı́o, Coloma Ballester, José-Luis Lisani, Jean‐Michel Morel, Joan Verdera, Antonin Chambolle, José M. Mazón, Fuensanta Andreu-Vaillo and Gabriele Facciolo. Their work appears in journals such as Mathematische Annalen, IEEE Transactions on Image Processing, SIAM Journal on Imaging Sciences, Surface Science and Multiscale Modeling and Simulation.

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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