Veer Sangha Google Scholar: h-index, Total Citations, and Citation Map
Veer Sangha's h-index is 20 (20 i10-index, 1,064+ total citations across 78+ publications) according to Google Scholar as of October 2026. Veer Sangha is affiliated with Yale University.
Veer Sangha is a researcher affiliated with Yale University, specializing in various fields. Their work has been cited 1,064 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Veer Sangha's Citation Metrics
Bibliometric impact based on 78 indexed publications.
- H-Index
- 20
- i10-Index
- 20
- Total Citations
- 1,064
- Citing Countries
- 61
As of October 2026.
Veer Sangha has an h-index of 20 and 1,064 total citations across 78 publications, with research cited by institutions in 61 countries.
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Global Impact Map
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Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images
2023162
Top Citing Countries
Top Citing Institutions
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 method to detect left ventricular systolic dysfunction using electrocardiographic images, establishing a non-invasive diagnostic approach published in a leading cardiology journal.
The researcher developed a method to detect left ventricular systolic dysfunction using single-lead ECG, enabling adaptation for portable and wearable cardiac monitoring devices.
The researcher established a foundational framework for understanding how nanoparticle size dictates drug delivery efficiency, a seminal contribution that has significantly influenced independent research in nanomedicine.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Veer Sangha's research
Veer Sangha is a researcher at Yale University. Their work has been cited 1,064 times across 78 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images” (2023), has accumulated 162 citations. Other influential works include “Automated multilabel diagnosis on electrocardiographic images and signals” (2022) with 149 citations and “Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images” (2023) with 137 citations.
Citations of Veer Sangha's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
