Daniel C. Castro

2.0k total citations
16 papers, 379 citations indexed

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 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel C. Castro's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Machine Learning in Healthcare (2 papers). Daniel C. Castro is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Machine Learning in Healthcare (2 papers). Daniel C. Castro collaborates with scholars based in United States, United Kingdom and Canada. Daniel C. Castro's co-authors include Irfan Essa, Vivek Kwatra, Matthias Grundmann, Ozan Oktay, Laura Flórez, Ben Glocker, Anton Schwaighofer, Javier Alvarez-Valle, Shruthi Bannur 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

Daniel C. Castro

16 papers receiving 369 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel C. Castro United States	10	152	105	73	44	42	16	379
Farzeen Ashfaq Malaysia	8	65 0.4×	89 0.8×	48 0.7×	20 0.5×	17 0.4×	20	311
Ziyan Zhang China	7	112 0.7×	260 2.5×	49 0.7×	11 0.3×	14 0.3×	15	430
Saeed Ur Rehman Pakistan	9	145 1.0×	99 0.9×	122 1.7×	26 0.6×	7 0.2×	15	513
Xinxin Zhou China	9	100 0.7×	163 1.6×	39 0.5×	14 0.3×	13 0.3×	29	383
Jamin Rahman Jim Bangladesh	9	87 0.6×	136 1.3×	82 1.1×	12 0.3×	9 0.2×	17	434
Mohammed Khalaf Iraq	12	41 0.3×	107 1.0×	25 0.3×	14 0.3×	16 0.4×	40	385
Ahmad MohdAziz Hussein Saudi Arabia	9	50 0.3×	150 1.4×	67 0.9×	11 0.3×	6 0.1×	17	358
Lun-Chi Chen Taiwan	10	63 0.4×	59 0.6×	28 0.4×	23 0.5×	30 0.7×	28	238

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Castro. A scholar is included among the top collaborators of Daniel C. Castro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel C. Castro. Daniel C. Castro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Pérez‐García, Fernando, Harshita Sharma, Valentina Salvatelli, et al.. (2025). Exploring scalable medical image encoders beyond text supervision. Nature Machine Intelligence. 7(1). 119–130. 11 indexed citations

Pérez‐García, Fernando, Shruthi Bannur, Daniel C. Castro, et al.. (2024). MAIRA at RRG24: A specialised large multimodal model for radiology report generation. 597–602. 4 indexed citations

Jones, Charles, et al.. (2024). A causal perspective on dataset bias in machine learning for medical imaging. Nature Machine Intelligence. 6(2). 138–146. 22 indexed citations

Sharma, Harshita, Sarah Killcoyne, Daniel C. Castro, et al.. (2024). Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology. Nature Communications. 15(1). 2026–2026. 11 indexed citations

Liu, Qianchu, Stephanie L. Hyland, Shruthi Bannur, et al.. (2023). Exploring the Boundaries of GPT-4 in Radiology. 14414–14445. 14 indexed citations

Bannur, Shruthi, Stephanie L. Hyland, Qianchu Liu, et al.. (2023). Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. 15016–15027. 62 indexed citations

Castro, Daniel C., Ryutaro Tanno, Anton Schwaighofer, et al.. (2022). Active label cleaning for improved dataset quality under resource constraints. Nature Communications. 13(1). 1161–1161. 55 indexed citations

Pawlowski, Nick, Daniel C. Castro, & Ben Glocker. (2020). Deep Structural Causal Models for Tractable Counterfactual Inference. Spiral (Imperial College London). 33. 857–869. 3 indexed citations

Castro, Daniel C., Jeremy Tan, Bernhard Kainz, Ender Konukoğlu, & Ben Glocker. (2019). Morpho-Mnist: Quantitative assessment and diagnostics for representation learning. Journal of Machine Learning Research. 20(178). 1–29. 5 indexed citations

10.

Glocker, Ben, R. H. Robinson, Daniel C. Castro, Qi Dou, & Ender Konukoğlu. (2019). Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects.. Spiral (Imperial College London). 2 indexed citations

11.

Bettadapura, Vinay, Daniel C. Castro, & Irfan Essa. (2016). Discovering picturesque highlights from egocentric vacation videos. 33. 1–9. 5 indexed citations

12.

Flórez, Laura, Daniel C. Castro, & Javier Irizarry. (2013). Measuring sustainability perceptions of construction materials. Construction Innovation. 13(2). 217–234. 30 indexed citations

13.

Grundmann, Matthias, Vivek Kwatra, Daniel C. Castro, & Irfan Essa. (2012). Calibration-free rolling shutter removal. SMARTech Repository (Georgia Institute of Technology). 1–8. 120 indexed citations

14.

Flórez, Laura, Daniel C. Castro, & Andrés L. Medaglia. (2012). Maximizing Labor Stability As a Sustainability Performance Indicator in Project Scheduling. Construction Research Congress 2012. 465–474. 9 indexed citations

15.

Augenbroe, Godfried, et al.. (2009). Decision model for energy performance improvements in existing buildings. Journal of Engineering Design and Technology. 7(1). 21–36. 15 indexed citations

16.

Juan, Yi‐Kai, Daniel C. Castro, & Kathy O. Roper. (2009). Decision support approach based on multiple objectives and resources for assessing the relocation plan of dangerous hillside aggregations. European Journal of Operational Research. 202(1). 265–272. 11 indexed citations

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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