Aarthi Sivasankaran: h-index, Total Citations, and Citation Map
Aarthi Sivasankaran's h-index is 8 (8 i10-index, 218+ total citations across 29+ publications) according to Google Scholar as of May 2026. Aarthi Sivasankaran is affiliated with Technical Program Manager.
Aarthi Sivasankaran is a researcher affiliated with Technical Program Manager, specializing in AI, Program Management, Technology. Their work has been cited 218 times. This profile visualizes their global influence, highlighting strong citation networks in India.
Aarthi Sivasankaran's Citation Metrics
Bibliometric impact based on 29 indexed publications. Of these, 16 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 8
- i10-Index
- 8
- Total Citations
- 218
- Citing Countries
- 17
As of May 2026.
Aarthi Sivasankaran has an h-index of 8 and 218 total citations across 29 publications, with research cited by institutions in 17 countries.
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Global Impact Map
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Top Cited Works
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Scene understanding—a survey
201751
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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.
153 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered a differentiated tuberculosis care model in India, establishing a framework for analyzing care cascade losses and evaluating the feasibility of subsequent national implementation guidelines.
The researcher provided a comprehensive survey of scene understanding, establishing a foundational reference point for the field that has been widely adopted by independent scholars.
The researcher established a framework for implementing AI-driven virtual personal assistants by defining critical system requirements, a contribution validated by independent scholarly uptake.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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