Daniel C. Castro

About

Daniel C. Castro is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel C. Castro has authored 16 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel C. Castro’s work include Explainable Artificial Intelligence (XAI) (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Machine Learning in Healthcare (3 papers). Daniel C. Castro is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Machine Learning in Healthcare (3 papers). Daniel C. Castro collaborates with scholars based in United States, United Kingdom and Taiwan. Daniel C. Castro's co-authors include Ben Glocker, Ian D. Walker, Irfan Essa, Vivek Kwatra, Matthias Grundmann, Laura Flórez, Javier Irizarry, Ozan Oktay, Javier Alvarez-Valle and Aditya Nori and has published in prestigious journals such as Nature Communications, European Journal of Operational Research and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Daniel C. Castro i

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Fields of papers citing papers by Daniel C. Castro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel C. Castro

Since Specialization

Citations

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).

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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