Darwin Castillo
Impact in
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- Brain Tumor Detection and Classification
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Digital Imaging for Blood Diseases 4
- Medical Image Segmentation Techniques 2
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- Gas Sensing Nanomaterials and Sensors 4
- Co-authors
- Vasudevan Lakshminarayanan (9 shared papers)María José Rodríguez-Álvarez (8 shared papers)Arvids Stashans (4 shared papers)R. C. DeVries (1 shared paper)Steve Martin (1 shared paper)P. H. Townsend (1 shared paper)J. P. Godschalx (1 shared paper)Edward O. Shaffer (1 shared paper)
In The Last Decade
Darwin Castillo
31 papers receiving 242 citations
Peers
Comparison fields: 5 of 71
- Neurology 24
- Radiology, Nuclear Medicine and Imaging 47
- Rheumatology 31
- Electronic, Optical and Magnetic Materials 42
- Periodontics 9
Countries citing papers authored by Darwin Castillo
This map shows the geographic impact of Darwin Castillo'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 Darwin Castillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darwin Castillo more than expected).
Fields of papers citing papers by Darwin Castillo
This network shows the impact of papers produced by Darwin Castillo. 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 Darwin Castillo. The network helps show where Darwin Castillo may publish in the future.
Co-authors
The 23 scholars most cited alongside Darwin Castillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 58 | |
| 2 | 1997 | 43 | |
| 3 | 2021 | 17 | |
| 4 | 2022 | 15 | |
| 5 | 2017 | 14 | |
| 6 | 2024 | 13 | |
| 7 | 2009 | 10 | |
| 8 | 2024 | 7 | |
| 9 | 1993 | 7 | |
| 10 | 1996 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2018 | 3 |
About Darwin Castillo
Darwin Castillo is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Artificial Intelligence, having authored 37 papers that have together received 249 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (6 papers), AI in cancer detection (5 papers), Digital Imaging for Blood Diseases (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers), TiO2 Photocatalysis and Solar Cells (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Image Segmentation Techniques (2 papers) and Synthesis and properties of polymers (2 papers). The work is most often cited by research in Neurology (24 citations), Radiology, Nuclear Medicine and Imaging (47 citations), Rheumatology (31 citations), Electronic, Optical and Magnetic Materials (42 citations) and Periodontics (9 citations). Darwin Castillo has collaborated with scholars based in Ecuador, Spain and Canada. Frequent co-authors include Vasudevan Lakshminarayanan, María José Rodríguez-Álvarez, Arvids Stashans, R. C. DeVries, Steve Martin, P. H. Townsend, J. P. Godschalx, Edward O. Shaffer, Dennis W. Smith and Nelson G. Rondan. Their work appears in journals such as Applied Sciences, Biosensors, Surface Review and Letters, AIP Advances and Physica B Condensed Matter.
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.