Daniel C. Castro
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Advanced Vision and Imaging
- Multimodal Machine Learning Applications
- Image and Video Stabilization
Papers in
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- Machine Learning in Healthcare 3
- Topic Modeling 3
- Explainable Artificial Intelligence (XAI) 3
- Adversarial Robustness in Machine Learning 2
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- Medical Image Segmentation Techniques 2
- Co-authors
- Ozan Oktay (9 shared papers)Irfan Essa (2 shared papers)Vivek Kwatra (1 shared paper)Matthias Grundmann (1 shared paper)Javier Alvarez-Valle (7 shared papers)Anton Schwaighofer (7 shared papers)Shruthi Bannur (6 shared papers)Aditya Nori (5 shared papers)
- Journals
- Nature Machine Intelligence (2 papers)Nature Communications (2 papers)Construction Innovation (1 paper)European Journal of Operational Research (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesUnited KingdomColombia
In The Last Decade
Daniel C. Castro
21 papers receiving 649 citations
Daniel C. Castro's Hit Papers
Peers
Comparison fields: 5 of 99
- Health Informatics 59
- Computer Vision and Pattern Recognition 256
- Radiology, Nuclear Medicine and Imaging 196
- Media Technology 59
- Artificial Intelligence 223
Countries citing papers authored by Daniel C. Castro
This map shows the geographic impact of Daniel C. Castro'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 Daniel C. Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Castro more than expected).
Fields of papers citing papers by Daniel C. Castro
This network shows the impact of papers produced by Daniel C. Castro. 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 Daniel C. Castro. The network helps show where Daniel C. Castro may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Castro, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 140 | |
| 2 | 2012 | 135 | |
| 3 | 2023 | 89 | |
| 4 | 2022 | 65 | |
| 5 | 2024 | 33 | |
| 6 | 2013 | 31 | |
| 7 | 2018 | 30 | |
| 8 | 2018 | 24 | |
| 9 | Exploring scalable medical image encoders beyond text supervision Hit paper breakdown → | 2025 | 23 |
| 10 | 2009 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2024 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2009 | 11 | |
| 15 | 2012 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2016 | 6 | |
| 18 | 2024 | 5 | |
| 19 | Deep Structural Causal Models for Tractable Counterfactual Inference | 2020 | 3 |
| 20 | Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects. | 2019 | 3 |
About Daniel C. Castro
Daniel C. Castro is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Building and Construction and Health Informatics, having authored 21 papers that have together received 672 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Machine Learning in Healthcare (3 papers), Topic Modeling (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Sustainable Building Design and Assessment (2 papers), Medical Image Segmentation Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (59 citations), Computer Vision and Pattern Recognition (256 citations), Radiology, Nuclear Medicine and Imaging (196 citations), Media Technology (59 citations) and Artificial Intelligence (223 citations). Daniel C. Castro has collaborated with scholars based in United States, United Kingdom and Colombia. Frequent co-authors include Ozan Oktay, Irfan Essa, Vivek Kwatra, Matthias Grundmann, Javier Alvarez-Valle, Anton Schwaighofer, Shruthi Bannur, Aditya Nori, Maria Teodora Wetscherek and Benedikt Boecking. Their work appears in journals such as Nature Machine Intelligence, Nature Communications, Construction Innovation, European Journal of Operational Research and Journal of Machine Learning Research.
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.