José Rouco

2.5k total citations · 1 hit paper
49 papers, 1.5k citations indexed

About

José Rouco is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, José Rouco has authored 49 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Computer Vision and Pattern Recognition and 21 papers in Ophthalmology. Recurrent topics in José Rouco's work include Retinal Imaging and Analysis (31 papers), Digital Imaging for Blood Diseases (18 papers) and Glaucoma and retinal disorders (13 papers). José Rouco is often cited by papers focused on Retinal Imaging and Analysis (31 papers), Digital Imaging for Blood Diseases (18 papers) and Glaucoma and retinal disorders (13 papers). José Rouco collaborates with scholars based in Spain, Portugal and Saudi Arabia. José Rouco's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

José Rouco

43 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Classification of breast cancer histology images using Convolutional Neural Networks

2017 648 citations Teresa Araújo, Guilherme Aresta et al. PLoS ONE profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
José Rouco Spain	18	899	651	524	312	214	49	1.5k
Jorge Novo Spain	22	1.1k 1.2×	293 0.5×	341 0.7×	605 1.9×	212 1.0×	142	1.7k
M. Muthu Rama Krishnan India	20	443 0.5×	463 0.7×	309 0.6×	89 0.3×	202 0.9×	26	1.1k
Muthu Rama Krishnan Mookiah Singapore	23	1.4k 1.5×	220 0.3×	597 1.1×	790 2.5×	210 1.0×	50	1.9k
Manuel G. Penedo Spain	23	1.0k 1.2×	273 0.4×	594 1.1×	751 2.4×	232 1.1×	121	1.9k
Seyed‐Ahmad Ahmadi Germany	18	304 0.3×	180 0.3×	339 0.6×	68 0.2×	48 0.2×	48	1.2k
Ahmed Elazab China	22	593 0.7×	604 0.9×	427 0.8×	38 0.1×	26 0.1×	92	1.7k
Sanghoon Jun South Korea	10	487 0.5×	354 0.5×	201 0.4×	26 0.1×	46 0.2×	27	1.2k
Yuhui Ma China	14	692 0.8×	279 0.4×	573 1.1×	262 0.8×	30 0.1×	36	1.4k
Weifang Zhu China	23	1.5k 1.7×	420 0.6×	903 1.7×	805 2.6×	28 0.1×	124	2.3k
Guanyu Yang China	24	952 1.1×	287 0.4×	734 1.4×	30 0.1×	129 0.6×	122	1.9k

Countries citing papers authored by José Rouco

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hervella, Álvaro S., et al.. (2024). Computer-assisted evaluation of retinal vessel tortuosity in children with sickle cell disease without retinopathy. Microvascular Research. 157. 104752–104752.

Hervella, Álvaro S., Lucía Ramos, José Rouco, Jorge Novo, & Marcos Ortega. (2023). Explainable artificial intelligence for the automated assessment of the retinal vascular tortuosity. Medical & Biological Engineering & Computing. 62(3). 865–881. 7 indexed citations

Hervella, Álvaro S., et al.. (2023). Joint keypoint detection and description network for color fundus image registration. Quantitative Imaging in Medicine and Surgery. 13(7). 4540–4562. 6 indexed citations

Hervella, Álvaro S., José Rouco, Jorge Novo, & Marcos Ortega. (2023). Multi-Adaptive Optimization for multi-task learning with deep neural networks. Neural Networks. 170. 254–265. 7 indexed citations

Hervella, Álvaro S., José Rouco, Jorge Novo, & Marcos Ortega. (2022). Multimodal image encoding pre-training for diabetic retinopathy grading. Computers in Biology and Medicine. 143. 105302–105302. 25 indexed citations

Hervella, Álvaro S., et al.. (2022). Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning. Computer Methods and Programs in Biomedicine. 229. 107296–107296. 17 indexed citations

Hervella, Álvaro S., et al.. (2022). Context encoder transfer learning approaches for retinal image analysis. Computers in Biology and Medicine. 152. 106451–106451. 5 indexed citations

Ramos, Lucía, et al.. (2020). Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information. SHILAP Revista de lepidopterología. 32–32.

Hervella, Álvaro S., Lucía Ramos, José Rouco, Jorge Novo, & Marcos Ortega. (2020). Multi-Modal Self-Supervised Pre-Training for Joint Optic Disc and Cup Segmentation in Eye Fundus Images. 961–965. 23 indexed citations

10.

Rouco, José, et al.. (2019). An end-to-end deep learning approach for simultaneous background modeling and subtraction.. British Machine Vision Conference. 266. 25 indexed citations

11.

Rouco, José, et al.. (2019). Blind-spot network for image anomaly detection: A new approach to diabetic retinopathy screening.. The European Symposium on Artificial Neural Networks. 3 indexed citations

12.

Moura, Joaquim de, et al.. (2019). Artery/Vein Vessel Tree Identification in Near-Infrared Reflectance Retinographies. Journal of Digital Imaging. 32(6). 947–962. 1 indexed citations

13.

Ramos, Lucía, et al.. (2019). Computational assessment of the retinal vascular tortuosity integrating domain-related information. Scientific Reports. 9(1). 19940–19940. 11 indexed citations

14.

Ramos, Lucía, et al.. (2018). Retinal vascular tortuosity assessment: inter-intra expert analysis and correlation with computational measurements. BMC Medical Research Methodology. 18(1). 144–144. 17 indexed citations

15.

Ramos, Lucía, Jorge Novo, N. Barreira, et al.. (2018). Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis. Journal of Visualized Experiments. 1 indexed citations

16.

Araújo, Teresa, Guilherme Aresta, Eduardo Castro, et al.. (2017). Classification of breast cancer histology images using Convolutional Neural Networks. PLoS ONE. 12(6). e0177544–e0177544. 648 indexed citations breakdown →

17.

Sastre, Mariano, Gregorio Maqueda, Rosa Inclán, et al.. (2017). Local and regional characterisation of the diurnal mountain wind systems in the Guadarrama mountain range (Spain). Arcimis (State Meteorological Agency). 14802. 1 indexed citations

18.

Rath, Volker, et al.. (2014). GUMNET - A new long-term monitoring initiative in the Guadarrama Mountains, Madrid, Spain. EGUGA. 7124. 1 indexed citations

19.

Ortega, Marcos, et al.. (2010). Automatic detection and characterisation of retinal vessel tree bifurcations and crossovers in eye fundus images. Computer Methods and Programs in Biomedicine. 103(1). 28–38. 51 indexed citations

20.

Ortega, Marcos, Manuel G. Penedo, José Rouco, N. Barreira, & Marı́a J. Carreira. (2009). Retinal Verification Using a Feature Points-Based Biometric Pattern. EURASIP Journal on Advances in Signal Processing. 2009(1). 64 indexed citations

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.

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