Kristopher J. Preacher: h-index, Total Citations, and Citation Map
Kristopher J. Preacher's h-index is 90 (151 i10-index, 163,334+ total citations across 4+ publications) according to Google Scholar as of May 2026. Kristopher J. Preacher is affiliated with Professor, Quantitative Methods and Data Analytics, Vanderbilt University.
Kristopher J. Preacher is a researcher affiliated with Professor, Quantitative Methods and Data Analytics, Vanderbilt University, specializing in Quantitative Psychology, Quantitative Methods, Methodology. Their work has been cited 163,334 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Kristopher J. Preacher's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 90
- i10-Index
- 151
- Total Citations
- 163,334
- Citing Countries
- 13
As of May 2026.
Kristopher J. Preacher has an h-index of 90 and 163,334 total citations across 4 publications, with research cited by institutions in 13 countries.
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Top Cited Works
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Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
200843,766
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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.
The researcher developed asymptotic and resampling strategies for assessing indirect effects in multiple mediator models, establishing a foundational methodological framework widely adopted in behavioral research.
The researcher developed computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis, significantly advancing statistical methodology in educational and behavioral research.
The researcher established a foundational framework for addressing moderated mediation hypotheses, providing essential theoretical and methodological prescriptions that have become a standard reference in multivariate behavioral research.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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