Veer Sangha: h-index, Total Citations, and Citation Map
Veer Sangha's h-index is 14 (17 i10-index, 857+ total citations across 76+ publications) according to Google Scholar as of May 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 857 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Veer Sangha's Citation Metrics
Bibliometric impact based on 76 indexed publications.
- H-Index
- 14
- i10-Index
- 17
- Total Citations
- 857
- Citing Countries
- 14
As of May 2026.
Veer Sangha has an h-index of 14 and 857 total citations across 76 publications, with research cited by institutions in 14 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Veer Sangha's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Top Cited Works
Tip: clickto hide a row from the map
Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images
2023137
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)
Related Guides
Learn how to use citation maps for your research and visa applications.
