Shadi Saleh, PhD: h-index, Total Citations, and Citation Map
Shadi Saleh, PhD's h-index is 8 (6 i10-index, 473+ total citations across 61+ publications) according to Google Scholar as of May 2026. Shadi Saleh, PhD is affiliated with Applied Data Scientist at Microsoft.
Shadi Saleh, PhD is a researcher affiliated with Applied Data Scientist at Microsoft, specializing in NLP, Misinformation Detection, Differential Privacy. Their work has been cited 473 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Shadi Saleh, PhD's Citation Metrics
Bibliometric impact based on 61 indexed publications.
- H-Index
- 8
- i10-Index
- 6
- Total Citations
- 473
- Citing Countries
- 26
As of May 2026.
Shadi Saleh, PhD has an h-index of 8 and 473 total citations across 61 publications, with research cited by institutions in 26 countries.
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Top Cited Works
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Universal Dependencies 2.2
2018275
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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.
232 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced cross-lingual information retrieval by developing methods to rerank machine-translated queries and optimizing term selection for medical domain applications.
The researcher developed and evaluated NLP systems for health information retrieval, establishing a sustained track record in CLEF eHealth and MLIA tasks from 2014 to 2020.
The researcher established a standardized framework for universal syntactic dependencies, creating a widely adopted resource that has significantly influenced computational linguistics research.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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