Carlos A. Silva
- Computer Vision and Pattern Recognition top 0.5%
- Neurology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 1%
- Biomedical Engineering top 10%
- Co-authors
- Sérgio PereiraAdriano PintoVictor AlvesMauricio ReyesRoland WiestRaphael MeierFried-Michael DahlweidRonald M. Summers
- Topics
- Medical Image Segmentation Techniques (9 papers)Retinal Imaging and Analysis (8 papers)Brain Tumor Detection and Classification (8 papers)
- Partner nations
- PortugalSwitzerlandUnited States
In The Last Decade
Carlos A. Silva
50 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Computer Vision and Pattern Recognition 1.6k
- Neurology 1.4k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Artificial Intelligence 836
- Biomedical Engineering 377
Countries citing papers authored by Carlos A. Silva
This map shows the geographic impact of Carlos A. Silva'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 Carlos A. Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos A. Silva more than expected).
Fields of papers citing papers by Carlos A. Silva
This network shows the impact of papers produced by Carlos A. Silva. 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 Carlos A. Silva. The network helps show where Carlos A. Silva may publish in the future.
Co-authorship network of co-authors of Carlos A. Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos A. Silva. A scholar is included among the top collaborators of Carlos A. Silva 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 Carlos A. Silva. Carlos A. Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 22 | |
| 3 | 62 | |
| 4 | 25 | |
| 5 | 283 | |
| 6 | 33 | |
| 7 | 5 | |
| 8 | 55 | |
| 9 | 72 | |
| 10 | 79 | |
| 11 | 28 | |
| 12 | 43 | |
| 13 | 69 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 19 | |
| 18 | 1 | |
| 19 | 16 | |
| 20 | Blind source separation by independent component analysis applied to electroencephalographic signals | 1 |
About Carlos A. Silva
Carlos A. Silva is a scholar working on Neurology, Software and Hardware and Architecture, having authored 55 papers that have together received 3.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Retinal Imaging and Analysis (8 papers) and Brain Tumor Detection and Classification (8 papers). The work is most often cited by research in Neurology (1.4k citations), Health Informatics (166 citations) and Computer Vision and Pattern Recognition (1.6k citations). Carlos A. Silva has collaborated with scholars based in Portugal, Switzerland and United States. Frequent co-authors include Sérgio Pereira, Adriano Pinto, Victor Alves, Mauricio Reyes, Roland Wiest, Raphael Meier, Fried-Michael Dahlweid, Ronald M. Summers, Hendrik von Tengg‐Kobligk and Richard McKinley. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Medical Imaging.
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.