Sai Sree Laya Chukkapalli: h-index, Total Citations, and Citation Map
Sai Sree Laya Chukkapalli's h-index is 11 (11 i10-index, 763+ total citations across 4+ publications) according to Google Scholar as of May 2026. Sai Sree Laya Chukkapalli is affiliated with IBM Research.
Sai Sree Laya Chukkapalli is a researcher affiliated with IBM Research, specializing in Cyber Security, Artificial Intelligence. Their work has been cited 763 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sai Sree Laya Chukkapalli's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 11
- i10-Index
- 11
- Total Citations
- 763
- Citing Countries
- 13
As of May 2026.
Sai Sree Laya Chukkapalli has an h-index of 11 and 763 total citations across 4 publications, with research cited by institutions in 13 countries.
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Top Cited Works
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Cyber Attacks on Smart Farming Infrastructure
2020173
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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.
The researcher developed a smart-farming ontology for attribute-based access control, establishing a foundational framework for secure data management in agricultural cloud environments.
The researcher established a foundational framework for analyzing cyber threats to smart farming infrastructure, as evidenced by a seminal 2020 conference paper that has garnered significant independent academic attention.
The researcher developed ontologies and AI systems to enable cooperative smart farming ecosystems, establishing a foundational framework for intelligent agricultural collaboration.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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