José Rouco
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Ophthalmology top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Marcos OrtegaJorge NovoAurélio CampilhoManuel G. PenedoGuilherme ArestaAntónio PolóniaEduardo CastroTeresa Araújo
- Topics
- Retinal Imaging and Analysis (31 papers)Digital Imaging for Blood Diseases (18 papers)Glaucoma and retinal disorders (13 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingOphthalmologyComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- SpainPortugalSaudi Arabia
In The Last Decade
José Rouco
43 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Radiology, Nuclear Medicine and Imaging 899
- Artificial Intelligence 651
- Computer Vision and Pattern Recognition 524
- Ophthalmology 312
- Cardiology and Cardiovascular Medicine 214
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-authorship network of co-authors of José Rouco
This figure shows the co-authorship network connecting the top 25 collaborators of José Rouco. A scholar is included among the top collaborators of José Rouco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with José Rouco. José Rouco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 25 | |
| 6 | 17 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 23 | |
| 10 | An end-to-end deep learning approach for simultaneous background modeling and subtraction. | 25 |
| 11 | Blind-spot network for image anomaly detection: A new approach to diabetic retinopathy screening. | 3 |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | Classification of breast cancer histology images using Convolutional Neural Networksbreakdown → | 648 |
| 17 | Local and regional characterisation of the diurnal mountain wind systems in the Guadarrama mountain range (Spain) | 1 |
| 18 | GUMNET - A new long-term monitoring initiative in the Guadarrama Mountains, Madrid, Spain | 1 |
| 19 | 51 | |
| 20 | 64 |
About José Rouco
José Rouco is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (31 papers), Digital Imaging for Blood Diseases (18 papers) and Glaucoma and retinal disorders (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (899 citations), Ophthalmology (312 citations) and Computer Vision and Pattern Recognition (524 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, Guilherme Aresta, António Polónia, Eduardo Castro, Teresa Araújo, Catarina Eloy and Paulo Aguiar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.