Daniel Sodickson: h-index, Total Citations, and Citation Map
Daniel Sodickson's h-index is 80 (268 i10-index, 32,387+ total citations across 683+ publications) according to Google Scholar as of June 2026. Daniel Sodickson is affiliated with Chief of Innovation, Department of Radiology, New York University Grossman School of Medicine.
Daniel Sodickson is a researcher affiliated with Chief of Innovation, Department of Radiology, New York University Grossman School of Medicine, specializing in biomedical imaging. Their work has been cited 32,387 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Daniel Sodickson's Citation Metrics
Bibliometric impact based on 683 indexed publications.
- H-Index
- 80
- i10-Index
- 268
- Total Citations
- 32,387
- Citing Countries
- 15
As of June 2026.
Daniel Sodickson has an h-index of 80 and 32,387 total citations across 683 publications, with research cited by institutions in 15 countries.
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Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays
19973,339
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Daniel Sodickson's research
Daniel Sodickson is a researcher in biomedical imaging at Chief of Innovation, Department of Radiology, New York University Grossman School of Medicine. Their work has been cited 32,387 times across 683 publications (h-index 80), according to Google Scholar.
Their most-cited work, “Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays” (1997), has accumulated 3,339 citations. Other influential works include “Learning a variational network for reconstruction of accelerated MRI data” (2018) with 2,407 citations and “fastMRI: An open dataset and benchmarks for accelerated MRI” (2018) with 1,383 citations.
Citations of Daniel Sodickson's research come primarily from United States, Australia and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











