Shubir Dutt: h-index, Total Citations, and Citation Map
Shubir Dutt's h-index is 24 (34 i10-index, 2,461+ total citations across 4+ publications) according to Google Scholar as of May 2026. Shubir Dutt is affiliated with Neuropsychology Fellow, UCSF Memory & Aging Center.
Shubir Dutt is a researcher affiliated with Neuropsychology Fellow, UCSF Memory & Aging Center, specializing in various fields. Their work has been cited 2,461 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Shubir Dutt's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 24
- i10-Index
- 34
- Total Citations
- 2,461
- Citing Countries
- 14
As of May 2026.
Shubir Dutt has an h-index of 24 and 2,461 total citations across 4 publications, with research cited by institutions in 14 countries.
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Global Impact Map
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Top Cited Works
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Bayesian segmentation of brainstem structures in MRI
2015343
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Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher developed a Bayesian framework for segmenting brainstem structures in MRI, establishing a foundational method that has been widely adopted by independent researchers.
The researcher advanced the understanding of executive function neuroanatomy by demonstrating that these cognitive processes rely on neural substrates extending beyond traditional prefrontal structures.
The researcher established a critical link between the structural integrity of specific dopaminergic and noradrenergic brain regions and distinct aspects of late-life memory performance.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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