Aaron Defazio

11 papers and 184 indexed citations i.

About

Aaron Defazio is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Aaron Defazio has authored 11 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computational Mechanics. Recurrent topics in Aaron Defazio’s work include Sparse and Compressive Sensing Techniques (4 papers), Medical Imaging Techniques and Applications (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). Aaron Defazio is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Medical Imaging Techniques and Applications (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). Aaron Defazio collaborates with scholars based in Israel, United States and Australia. Aaron Defazio's co-authors include Daniel K. Sodickson, C. Lawrence Zitnick, Anuroop Sriram, Tullie Murrell, Jure Žbontar, Michael P. Recht, Florian Knöll, Michael Rabbat, Nafissa Yakubova and Matthew J. Muckley and has published in prestigious journals such as Magnetic Resonance in Medicine, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Aaron Defazio i

Fields of papers citing papers by Aaron Defazio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron Defazio. 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 Aaron Defazio. The network helps show where Aaron Defazio may publish in the future.

Countries citing papers authored by Aaron Defazio

Since Specialization
Citations

This map shows the geographic impact of Aaron Defazio'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 Aaron Defazio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Defazio 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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