Carlos A. Silva

11.6k citations
55 papers · 3.1k indexed · 1 hit paper · h-index 20

Carlos A. Silva

50 papers receiving 3.0k citations

Hit Papers

Brain Tumor Segmentation Using Convolutional Neural Netwo...1.8k201620262019202250010001.5k

Peers

Carlos A. Silva
Comparison fields: 5 of 148
  • Neurology 1.4k
  • Health Informatics 166
  • Computer Vision and Pattern Recognition 1.6k
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Artificial Intelligence 836
Replace Sérgio Pereira with:
Sérgio Pereira Portugal
Konstantinos Kamnitsas United Kingdom
U. Raghavendra India
Deepak Ranjan Nayak India
Anjan Gudigar India
Mauricio Reyes Switzerland
Guotai Wang China
Victor Alves Portugal
Yaozong Gao United States
Chris Pal United States
Carlos A. Silva relative to Sérgio Pereira Portugal Sérgio Pereira's profile →
Citations per field
00.5×1.5×2.5×
Sérgio Pereira · 1×
Citations per year

Countries citing papers authored by Carlos A. Silva

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Carlos A. Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Carlos A. Silva Line = papers co-authored together Carlos A. Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 202222
3 202162
4 202025
5 2020283
6 201933
7 20195
8 201855
9 201872
10 201779
11 201628
12 201643
13 201569
14 20145
15 201212
16 20116
17 200819
18 20081
19 200716
20
Blind source separation by independent component analysis applied to electroencephalographic signals
20031

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), Brain Tumor Detection and Classification (8 papers), Advanced Neural Network Applications (8 papers), Advanced Software Engineering Methodologies (7 papers), Glaucoma and retinal disorders (6 papers), Digital Imaging for Blood Diseases (5 papers) and Real-Time Systems Scheduling (5 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.

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2026