José Rouco
Impact in
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- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Ophthalmology top 2%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
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- Retinal Imaging and Analysis 31
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- Digital Imaging for Blood Diseases 14
- Medical Image Segmentation Techniques 3
- Co-authors
- Marcos Ortega (34 shared papers)Jorge Novo (36 shared papers)Aurélio Campilho (5 shared papers)Manuel G. Penedo (13 shared papers)Teresa Araújo (1 shared paper)António Polónia (1 shared paper)Guilherme Aresta (1 shared paper)Eduardo Castro (1 shared paper)
- Journals
- Computer Methods and Programs in Biomedicine (4 papers)Sensors (3 papers)Computers in Biology and Medicine (3 papers)Expert Systems with Applications (2 papers)Applied Soft Computing (2 papers)
- Partner nations
- SpainPortugalSaudi Arabia
In The Last Decade
José Rouco
44 papers receiving 1.5k citations
José Rouco's Hit Papers
Peers
Comparison fields: 5 of 98
- Radiology, Nuclear Medicine and Imaging 855
- Ophthalmology 269
- Computer Vision and Pattern Recognition 503
- Health Informatics 26
- Artificial Intelligence 639
Countries citing papers authored by José Rouco
This map shows the geographic impact of José Rouco'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 José Rouco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Rouco more than expected).
Fields of papers citing papers by José Rouco
This network shows the impact of papers produced by José Rouco. 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 José Rouco. The network helps show where José Rouco may publish in the future.
Co-authors
The 25 scholars most cited alongside José Rouco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classification of breast cancer histology images using Convolutional Neural Networks Hit paper breakdown → | 2017 | 659 |
| 2 | 2018 | 219 | |
| 3 | 2009 | 65 | |
| 4 | 2021 | 60 | |
| 5 | 2010 | 51 | |
| 6 | 1992 | 47 | |
| 7 | 2009 | 37 | |
| 8 | 2021 | 31 | |
| 9 | 2021 | 28 | |
| 10 | 2019 | 26 | |
| 11 | 2022 | 26 | |
| 12 | An end-to-end deep learning approach for simultaneous background modeling and subtraction. | 2019 | 25 |
| 13 | 2020 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2020 | 21 | |
| 16 | 2022 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2018 | 17 | |
| 19 | 2021 | 16 | |
| 20 | 2020 | 15 |
About José Rouco
José Rouco is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (31 papers), Digital Imaging for Blood Diseases (14 papers), Glaucoma and retinal disorders (11 papers), Retinal Diseases and Treatments (9 papers), Cell Image Analysis Techniques (5 papers), Water Quality Monitoring Technologies (4 papers), Medical Image Segmentation Techniques (3 papers) and Retinal and Optic Conditions (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (855 citations), Ophthalmology (269 citations), Computer Vision and Pattern Recognition (503 citations), Health Informatics (26 citations) and Artificial Intelligence (639 citations). José Rouco has collaborated with scholars based in Spain, Portugal and Saudi Arabia. Frequent co-authors include Marcos Ortega, Jorge Novo, Aurélio Campilho, Manuel G. Penedo, Teresa Araújo, António Polónia, Guilherme Aresta, Eduardo Castro, Paulo Aguiar and Catarina Eloy. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Sensors, Computers in Biology and Medicine, Expert Systems with Applications and Applied Soft Computing.
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.