Greg Perlman: h-index, Total Citations, and Citation Map
Greg Perlman's h-index is 35 (68 i10-index, 4,580+ total citations across 5+ publications) according to Google Scholar as of May 2026. Greg Perlman is affiliated with Unknown affiliation.
Greg Perlman is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 4,580 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Greg Perlman's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 35
- i10-Index
- 68
- Total Citations
- 4,580
- Citing Countries
- 11
As of May 2026.
Greg Perlman has an h-index of 35 and 4,580 total citations across 5 publications, with research cited by institutions in 11 countries.
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Global Impact Map
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Top Cited Works
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The 20-year longitudinal trajectories of social functioning in individuals with psychotic disorders
2017397
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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 established a foundational 20-year longitudinal framework for tracking social functioning trajectories in psychotic disorders, providing critical long-term data that has been widely adopted by independent scholars.
The researcher advanced the neurobiological understanding of adolescent depression by characterizing amygdala response and functional connectivity during emotion regulation in a seminal 2012 study.
The researcher identified blunted neural reward responses as a prospective predictor of depression development in adolescent girls, establishing a critical biomarker for early intervention.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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