Nima Shamsaei: h-index, Total Citations, and Citation Map
Nima Shamsaei's h-index is 75 (215 i10-index, 22,985+ total citations across 396+ publications) according to Google Scholar as of June 2026. Nima Shamsaei is affiliated with Philpott-WPS Distinguished Professor, Auburn University.
Nima Shamsaei is a researcher affiliated with Philpott-WPS Distinguished Professor, Auburn University, specializing in Fatigue and Fracture Mechanics, Additive Manufacturing, Advanced Manufacturing. Their work has been cited 22,985 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Nima Shamsaei's Citation Metrics
Bibliometric impact based on 396 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 75
- i10-Index
- 215
- Total Citations
- 22,985
- Citing Countries
- 57
As of June 2026.
Nima Shamsaei has an h-index of 75 and 22,985 total citations across 396 publications, with research cited by institutions in 57 countries.
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An overview of Direct Laser Deposition for additive manufacturing; Part I: Transport phenomena, modeling and diagnostics
20151,766
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.
40 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for understanding transport phenomena in Direct Laser Deposition, subsequently expanding this work to address critical challenges in fatigue resistance and defect mitigation in metal additive manufacturing.
The researcher established foundational process-structure-property relationships for direct laser deposited 316L stainless steel, significantly advancing additive manufacturing metallurgy.
The researcher provided a foundational overview and approximation models for multiaxial fatigue life estimation, establishing a widely adopted framework for predicting material failure under complex loading conditions.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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