Domènec Puig
Impact in
- Media Technology top 0.5%
- Image Processing Techniques and Applications
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- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Advanced Neural Network Applications
Papers in
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- Image Retrieval and Classification Techniques 24
- Advanced Image and Video Retrieval Techniques 23
- Medical Image Segmentation Techniques 21
- Advanced Vision and Imaging 13
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- Image Processing Techniques and Applications 16
- Co-authors
- Miguel Ángel GarcíaSaid PertuzMohamed Abdel‐NasserHatem A. RashwanAı̈da VallsAntonio MorenoHamed Habibi AghdamJainendra Shukla
In The Last Decade
Domènec Puig
153 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Media Technology 679
- Computer Vision and Pattern Recognition 1.3k
- Radiology, Nuclear Medicine and Imaging 703
- Artificial Intelligence 769
- Ophthalmology 207
Countries citing papers authored by Domènec Puig
This map shows the geographic impact of Domènec Puig'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 Domènec Puig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Domènec Puig more than expected).
Fields of papers citing papers by Domènec Puig
This network shows the impact of papers produced by Domènec Puig. 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 Domènec Puig. The network helps show where Domènec Puig may publish in the future.
Co-authors
The 25 scholars most cited alongside Domènec Puig, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 3 | |
| 12 | 2019 | 45 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 26 | |
| 16 | Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. | 2018 | 4 |
| 17 | 2017 | 10 | |
| 18 | 2017 | 44 | |
| 19 | Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals. | 2016 | 6 |
| 20 | 2014 | 80 |
About Domènec Puig
Domènec Puig is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Information Management, having authored 160 papers that have together received 2.9k indexed citations. Recurring topics across this work include AI in cancer detection (29 papers), Image Retrieval and Classification Techniques (24 papers), Advanced Image and Video Retrieval Techniques (23 papers), Medical Image Segmentation Techniques (21 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Image Processing Techniques and Applications (16 papers), Advanced Vision and Imaging (13 papers) and Retinal Imaging and Analysis (11 papers). The work is most often cited by research in Media Technology (679 citations), Computer Vision and Pattern Recognition (1.3k citations), Radiology, Nuclear Medicine and Imaging (703 citations), Artificial Intelligence (769 citations) and Ophthalmology (207 citations). Domènec Puig has collaborated with scholars based in Spain, Egypt and France. Frequent co-authors include Miguel Ángel García, Said Pertuz, Mohamed Abdel‐Nasser, Hatem A. Rashwan, Aı̈da Valls, Miguel Ángel García, Antonio Moreno, Hamed Habibi Aghdam, Jainendra Shukla and Joan Guix Oliver. Their work appears in journals such as Expert Systems with Applications, Electronics Letters, Computer Vision and Image Understanding, Pattern Recognition and Pattern Recognition Letters.
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.