Darwin Castillo

31 papers receiving 242 citations

Peers

Darwin Castillo
Comparison fields: 5 of 71
  • Neurology 24
  • Radiology, Nuclear Medicine and Imaging 47
  • Rheumatology 31
  • Electronic, Optical and Magnetic Materials 42
  • Periodontics 9
Replace M. Sumathi with:
M. Sumathi India
Lirui Wang China
Wenhui Zhu China
Rahul Kumar Jain Japan
Danqing Ma China
Boyang Li China
Kenji Matsuo Japan
Davinder Pal Sharma India
Darwin Castillo relative to M. Sumathi India M. Sumathi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Darwin Castillo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202258
2 199743
3 202117
4 202215
5 201714
6 202413
7 200910
8 20247
9 19937
10 19967
11 20186
12 20146
13 20185
14 20195
15 20215
16 20234
17 20174
18 20193
19 20253
20 20183

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.

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