Chiraag Sumanth: h-index, Total Citations, and Citation Map
Chiraag Sumanth's h-index is 6 (5 i10-index, 138+ total citations across 24+ publications) according to Google Scholar as of May 2026. Chiraag Sumanth is affiliated with Apple.
Chiraag Sumanth is a researcher affiliated with Apple, specializing in various fields. Their work has been cited 138 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Chiraag Sumanth's Citation Metrics
Bibliometric impact based on 24 indexed publications.
- H-Index
- 6
- i10-Index
- 5
- Total Citations
- 138
- Citing Countries
- 25
As of May 2026.
Chiraag Sumanth has an h-index of 6 and 138 total citations across 24 publications, with research cited by institutions in 25 countries.
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Global Impact Map
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Top Cited Works
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Studying the “wisdom of crowds” at scale
201957
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.
1 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced the study of the wisdom of crowds at scale, establishing a foundational framework that has garnered significant independent scholarly attention.
The researcher advanced sentiment analysis of microposts by investigating the specific utility of word sense disambiguation, establishing a foundational reference point for handling lexical ambiguity in short text.
The researcher developed a people suggestion system leveraging historical device interactions, establishing a foundational approach to context-aware social recommendations.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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