richard j smith Google Scholar: h-index, Total Citations, and Citation Map
richard j smith's h-index is 35 (62 i10-index, 41,891+ total citations across 110+ publications) according to Google Scholar as of October 2026. richard j smith is affiliated with University of Cambridge.
richard j smith is a researcher affiliated with University of Cambridge, specializing in Econometrics, Statistics. Their work has been cited 41,891 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
richard j smith's Citation Metrics
Bibliometric impact based on 110 indexed publications.
- H-Index
- 35
- i10-Index
- 62
- Total Citations
- 41,891
- Citing Countries
- 92
As of October 2026.
richard j smith has an h-index of 35 and 41,891 total citations across 110 publications, with research cited by institutions in 92 countries.
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Bounds testing approaches to the analysis of level relationships
200134,078
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.
1854 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed foundational methods for structural vector error correction models and bounds testing approaches to analyze level relationships in time series data.
The researcher clarified the classical statistical properties of Wu-Hausman tests regarding stochastic regressor independence, establishing a foundational theoretical benchmark for econometric inference.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About richard j smith's research
richard j smith is a researcher in Econometrics and Statistics at University of Cambridge. Their work has been cited 41,891 times across 110 publications (h-index 35), according to Google Scholar.
Their most-cited work, “Bounds testing approaches to the analysis of level relationships” (2001), has accumulated 34,078 citations. Other influential works include “An exogeneity test for a simultaneous equation Tobit model with an application to labor supply” (1986) with 1,597 citations and “Structural analysis of vector error correction models with exogenous I(1) variables” (2000) with 1,196 citations.
Citations of richard j smith's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
