Sharad Goel: h-index, Total Citations, and Citation Map
Sharad Goel's h-index is 49 (90 i10-index, 20,322+ total citations across 5+ publications) according to Google Scholar as of May 2026. Sharad Goel is affiliated with Professor of Public Policy, Harvard University.
Sharad Goel is a researcher affiliated with Professor of Public Policy, Harvard University, specializing in computational social science, applied statistics, applied mathematics. Their work has been cited 20,322 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sharad Goel's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 49
- i10-Index
- 90
- Total Citations
- 20,322
- Citing Countries
- 20
As of May 2026.
Sharad Goel has an h-index of 49 and 20,322 total citations across 5 publications, with research cited by institutions in 20 countries.
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We've mapped 5,000 of 20,322 citations for Sharad Goel
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Global Impact Map
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Top Cited Works
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Filter Bubbles, Echo Chambers, and Online News Consumption
20163,273
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.
The researcher established a foundational framework for analyzing how filter bubbles and echo chambers shape online news consumption, a contribution evidenced by over 3,000 citations.
The researcher established a critical framework for evaluating fairness metrics in machine learning, challenging prevailing assumptions and providing a rigorous standard for assessing algorithmic bias.
The researcher pioneered the use of web search data as a predictive indicator for consumer behavior, establishing a novel methodological approach published in a high-impact venue.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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