Andres Diaz‐Pinto
- Radiology, Nuclear Medicine and Imaging top 5%
- Ophthalmology top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Valery NaranjoSandra MoralesAmparo NáveaThomas KöhlerJosé M. MossiAlejandro F. FrangiAdrián ColomerYanwu Xu
- Topics
- Retinal Imaging and Analysis (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Digital Imaging for Blood Diseases (3 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Andres Diaz‐Pinto
14 papers receiving 607 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Radiology, Nuclear Medicine and Imaging 503
- Ophthalmology 330
- Computer Vision and Pattern Recognition 306
- Artificial Intelligence 81
- Biomedical Engineering 67
Countries citing papers authored by Andres Diaz‐Pinto
This map shows the geographic impact of Andres Diaz‐Pinto'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 Andres Diaz‐Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andres Diaz‐Pinto more than expected).
Fields of papers citing papers by Andres Diaz‐Pinto
This network shows the impact of papers produced by Andres Diaz‐Pinto. 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 Andres Diaz‐Pinto. The network helps show where Andres Diaz‐Pinto may publish in the future.
Co-authorship network of co-authors of Andres Diaz‐Pinto
This figure shows the co-authorship network connecting the top 25 collaborators of Andres Diaz‐Pinto. A scholar is included among the top collaborators of Andres Diaz‐Pinto 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 Andres Diaz‐Pinto. Andres Diaz‐Pinto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 36 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 56 | |
| 9 | 23 | |
| 10 | 54 | |
| 11 | 148 | |
| 12 | CNNs for automatic glaucoma assessment using fundus images: an extensive validationbreakdown → | 289 |
| 13 | 3 | |
| 14 | 8 |
About Andres Diaz‐Pinto
Andres Diaz‐Pinto is a scholar working on Ophthalmology, Oral Surgery and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 637 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Ophthalmology (330 citations), Radiology, Nuclear Medicine and Imaging (503 citations) and Computer Vision and Pattern Recognition (306 citations). Andres Diaz‐Pinto has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Valery Naranjo, Sandra Morales, Amparo Návea, Thomas Köhler, José M. Mossi, Alejandro F. Frangi, Adrián Colomer, Yanwu Xu, Nishant Ravikumar and Xiang Chen. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Journal of Dentistry.
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.