Ananth Narayan Samudrala: h-index, Total Citations, and Citation Map
Ananth Narayan Samudrala's h-index is 5 (5 i10-index, 119+ total citations across 7+ publications) according to Google Scholar as of May 2026. Ananth Narayan Samudrala is affiliated with Apple.
Ananth Narayan Samudrala is a researcher affiliated with Apple, specializing in Signal Detection and Estimation Theory, Encryption, Cybersecurity. Their work has been cited 119 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ananth Narayan Samudrala's Citation Metrics
Bibliometric impact based on 7 indexed publications.
- H-Index
- 5
- i10-Index
- 5
- Total Citations
- 119
- Citing Countries
- 20
As of May 2026.
Ananth Narayan Samudrala has an h-index of 5 and 119 total citations across 7 publications, with research cited by institutions in 20 countries.
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Top Cited Works
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Distributed outage detection in power distribution networks
202032
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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.
3 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed foundational methods for optimal sensor placement to enable topology identification in smart power grids, establishing a framework for subsequent work on distributed outage detection and network resilience.
The researcher developed a method for detecting outages in distribution networks using limited power flow measurements, establishing a foundational approach for monitoring grid reliability with sparse data.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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