Aarthi Sivasankaran Google Scholar: h-index, Total Citations, and Citation Map
Aarthi Sivasankaran's h-index is 10 (11 i10-index, 303+ total citations across 41+ publications) according to Google Scholar as of October 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 303 times. This profile visualizes their global influence, highlighting strong citation networks in India.
Aarthi Sivasankaran's Citation Metrics
Bibliometric impact based on 41 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 10
- i10-Index
- 11
- Total Citations
- 303
- Citing Countries
- 53
As of October 2026.
Aarthi Sivasankaran has an h-index of 10 and 303 total citations across 41 publications, with research cited by institutions in 53 countries.
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Global Impact Map
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Scene understanding—a survey
201753
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.
21 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed and evaluated India's first differentiated TB care model, establishing a framework for reducing care cascade losses and informing subsequent national implementation guidance and triage protocols.
The researcher provided a comprehensive survey of scene understanding, establishing a foundational reference for the field with 51 citations from entirely independent researchers.
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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About Aarthi Sivasankaran's research
Aarthi Sivasankaran is a researcher in AI, Program Management and Technology at Technical Program Manager. Their work has been cited 303 times across 41 publications (h-index 10), according to Google Scholar.
Their most-cited work, “Scene understanding—a survey” (2017), has accumulated 53 citations. Other influential works include “Implementing virtual personal assistant through artificial intelligence requirements” (2022) with 39 citations and “The first differentiated TB care model from India: delays and predictors of losses in the care cascade” (2023) with 35 citations.
Citations of Aarthi Sivasankaran's research come primarily from India, United States 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.
