Akash Mittal: h-index, Total Citations, and Citation Map
Akash Mittal's h-index is 3 (1 i10-index, 261+ total citations across 7+ publications) according to Google Scholar as of May 2026. Akash Mittal is affiliated with Microsoft AI.
Akash Mittal is a researcher affiliated with Microsoft AI, specializing in Machine Learning, Artificial Intelligence, Data Systems. Their work has been cited 261 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Akash Mittal's Citation Metrics
Bibliometric impact based on 7 indexed publications.
- H-Index
- 3
- i10-Index
- 1
- Total Citations
- 261
- Citing Countries
- 24
As of May 2026.
Akash Mittal has an h-index of 3 and 261 total citations across 7 publications, with research cited by institutions in 24 countries.
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Global Impact Map
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Top Cited Works
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Gcomb: Learning budget-constrained combinatorial algorithms over billion-sized graphs
2020251
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.
101 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed Gcomb, a framework for learning budget-constrained combinatorial algorithms on billion-sized graphs, establishing a scalable approach to large-scale graph optimization.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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