Shakeel Asharaf: h-index, Total Citations, and Citation Map
Shakeel Asharaf's h-index is 12 (12 i10-index, 981+ total citations across 51+ publications) according to Google Scholar as of May 2026. Shakeel Asharaf is affiliated with UCLA/JPL.
Shakeel Asharaf is a researcher affiliated with UCLA/JPL, specializing in Climate Research, Seasonal Prediction, Remote Sensing. Their work has been cited 981 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Shakeel Asharaf's Citation Metrics
Bibliometric impact based on 51 indexed publications.
- H-Index
- 12
- i10-Index
- 12
- Total Citations
- 981
- Citing Countries
- 26
As of May 2026.
Shakeel Asharaf has an h-index of 12 and 981 total citations across 51 publications, with research cited by institutions in 26 countries.
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Top Cited Works
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Downscaled climate change projections with uncertainty assessment over India using a high resolution multi-model approach
2013206
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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.
483 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for evaluating regional climate models in simulating the Indian monsoon, subsequently advancing high-resolution projections and soil moisture feedback analyses.
The researcher established a foundational framework for evaluating CYGNSS constellation performance, subsequently extending this work to quantify ocean surface heat fluxes during atmospheric rivers.
The researcher advanced seasonal climate prediction for East Africa by integrating dynamical downscaling with global hindcasts to assess precipitation value.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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