Tomeu Coll
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Image and Object Detection Techniques
- Advanced Image Processing Techniques
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Media Technology top 1%
- Advanced Image Fusion Techniques
Papers in
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- Medical Image Segmentation Techniques 2
- Image and Signal Denoising Methods 1
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- Advanced Numerical Analysis Techniques 1
- Co-authors
- Vicent Caselles (1 shared paper)F. Dibos (1 shared paper)Francine Catté (1 shared paper)Pierre-Louis Lions (1 shared paper)Jean‐Michel Morel (1 shared paper)Getinet Woyessa (1 shared paper)V. Finazzi (1 shared paper)Frans L. Muller (1 shared paper)
- Journals
- SIAM Journal on Numerical Analysis (1 paper)Light Science & Applications (1 paper)Numerische Mathematik (1 paper)
- Partner nations
- SpainNetherlandsDenmark
In The Last Decade
Tomeu Coll
3 papers receiving 2.2k citations
Tomeu Coll's Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 1.8k
- Media Technology 390
- Computer Graphics and Computer-Aided Design 126
- Modeling and Simulation 119
- Biophysics 135
Countries citing papers authored by Tomeu Coll
This map shows the geographic impact of Tomeu Coll'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 Tomeu Coll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomeu Coll more than expected).
Fields of papers citing papers by Tomeu Coll
This network shows the impact of papers produced by Tomeu Coll. 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 Tomeu Coll. The network helps show where Tomeu Coll may publish in the future.
Co-authors
The 12 scholars most cited alongside Tomeu Coll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A geometric model for active contours in image processing Hit paper breakdown → | 1993 | 1223 |
| 2 | Image Selective Smoothing and Edge Detection by Nonlinear Diffusion Hit paper breakdown → | 1992 | 1053 |
| 3 | 2020 | 37 |
About Tomeu Coll
Tomeu Coll is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology, Water Science and Technology and Electrical and Electronic Engineering, having authored 3 papers that have together received 2.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (2 papers), Water Quality Monitoring Technologies (1 paper), Electrical and Bioimpedance Tomography (1 paper), Image and Signal Denoising Methods (1 paper), Advanced Numerical Analysis Techniques (1 paper), Computer Graphics and Visualization Techniques (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Media Technology (390 citations), Computer Graphics and Computer-Aided Design (126 citations), Modeling and Simulation (119 citations) and Biophysics (135 citations). Tomeu Coll has collaborated with scholars based in Spain, Netherlands and Denmark. Frequent co-authors include Vicent Caselles, F. Dibos, Francine Catté, Pierre-Louis Lions, Jean‐Michel Morel, Getinet Woyessa, V. Finazzi, Frans L. Muller, Timothy N. Hunter and Michael Stintz. Their work appears in journals such as SIAM Journal on Numerical Analysis, Light Science & Applications and Numerische Mathematik.
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.