Aprameya Bharadwaj: h-index, Total Citations, and Citation Map
Aprameya Bharadwaj's h-index is 4 (3 i10-index, 109+ total citations across 4+ publications) according to Google Scholar as of May 2026. Aprameya Bharadwaj is affiliated with Adobe, Carnegie Mellon University.
Aprameya Bharadwaj is a researcher affiliated with Adobe, Carnegie Mellon University, specializing in Data Science, Machine Learning. Their work has been cited 109 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Aprameya Bharadwaj's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 4
- i10-Index
- 3
- Total Citations
- 109
- Citing Countries
- 9
As of May 2026.
Aprameya Bharadwaj has an h-index of 4 and 109 total citations across 4 publications, with research cited by institutions in 9 countries.
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Top Cited Works
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Optimization of Image Embeddings for Few Shot Learning
202049
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Top Citing Institutions
Visa Evidence Package
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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 deep learning framework utilizing binary patterns to enhance face recognition accuracy, as demonstrated in their 2018 ICCIDS publication.
The researcher advanced unconstrained face recognition by introducing a Bayesian classification framework, establishing a methodological foundation for robust identity verification in challenging, real-world conditions.
The researcher advanced few-shot learning by developing optimization techniques for image embeddings, establishing a foundational approach adopted by independent scholars.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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