Srivalli Boddupalli: h-index, Total Citations, and Citation Map
Srivalli Boddupalli's h-index is 7 (6 i10-index, 233+ total citations across 17+ publications) according to Google Scholar as of May 2026. Srivalli Boddupalli is affiliated with Lucid Motors, University of Florida.
Srivalli Boddupalli is a researcher affiliated with Lucid Motors, University of Florida, specializing in Machine Learning, Connected Autonomous Vehicles, Cybersecurity. Their work has been cited 233 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Srivalli Boddupalli's Citation Metrics
Bibliometric impact based on 17 indexed publications.
- H-Index
- 7
- i10-Index
- 6
- Total Citations
- 233
- Citing Countries
- 20
As of May 2026.
Srivalli Boddupalli has an h-index of 7 and 233 total citations across 17 publications, with research cited by institutions in 20 countries.
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Top Cited Works
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Resilient cooperative adaptive cruise control for autonomous vehicles using machine learning
202290
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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.
148 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for automotive system security, subsequently advancing resilient control mechanisms for autonomous vehicles against adversarial threats.
The researcher developed a framework for real-time detection and mitigation of communication attacks in connected autonomous vehicles, extending this work to address security resiliency and validation challenges.
The researcher developed Autohal, a pioneering exploration platform for ranging sensor attacks on automotive systems, establishing a foundational framework for vehicular security research.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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