Sergi Caelles
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Medical Image Segmentation Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Media Technology top 10%
Papers in
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- Visual Attention and Saliency Detection 5
- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 4
- Medical Image Segmentation Techniques 1
- Video Surveillance and Tracking Methods 1
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- Glaucoma and retinal disorders 1
- Co-authors
- Luc Van Gool (6 shared papers)Kevis-Kokitsi Maninis (5 shared papers)Jordi Pont-Tuset (1 shared paper)Jordi Pont-Tuset (4 shared papers)Federico Perazzi (1 shared paper)Alberto Montes (1 shared paper)Daniel Cremers (2 shared papers)Laura Leal-Taixé (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (1 paper)Repository for Publications and Research Data (ETH Zurich) (1 paper)Lirias (3 papers)
- Partner nations
- SwitzerlandGermanySpain
In The Last Decade
Sergi Caelles
8 papers receiving 473 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 369
- Media Technology 30
- Biophysics 16
- Artificial Intelligence 83
- Industrial and Manufacturing Engineering 18
Countries citing papers authored by Sergi Caelles
This map shows the geographic impact of Sergi Caelles'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 Sergi Caelles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergi Caelles more than expected).
Fields of papers citing papers by Sergi Caelles
This network shows the impact of papers produced by Sergi Caelles. 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 Sergi Caelles. The network helps show where Sergi Caelles may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergi Caelles, 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 | 2018 | 338 | |
| 2 | 2019 | 72 | |
| 3 | 2015 | 30 | |
| 4 | 2017 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 3 | |
| 8 | 2022 | 2 |
About Sergi Caelles
Sergi Caelles is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 8 papers that have together received 484 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (5 papers), Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Medical Image Segmentation Techniques (1 paper), Advanced Photonic Communication Systems (1 paper), Video Surveillance and Tracking Methods (1 paper), Glaucoma and retinal disorders (1 paper) and Optical Network Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (369 citations), Media Technology (30 citations), Biophysics (16 citations), Artificial Intelligence (83 citations) and Industrial and Manufacturing Engineering (18 citations). Sergi Caelles has collaborated with scholars based in Switzerland, Germany and Spain. Frequent co-authors include Luc Van Gool, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Daniel Cremers, Laura Leal-Taixé, Nicolas K. Fontaine and Peter J. Winzer. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, Repository for Publications and Research Data (ETH Zurich) and Lirias.
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.