Matthew Lieberman: h-index, Total Citations, and Citation Map
Matthew Lieberman's h-index is 108 (210 i10-index, 59,249+ total citations across 5+ publications) according to Google Scholar as of May 2026. Matthew Lieberman is affiliated with Professor of Psychology, University of California Los Angeles (UCLA).
Matthew Lieberman is a researcher affiliated with Professor of Psychology, University of California Los Angeles (UCLA), specializing in Social Cognitive Neuroscience, Social Neuroscience, Affective Neuroscience. Their work has been cited 59,249 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Matthew Lieberman's Citation Metrics
Bibliometric impact based on 5 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 108
- i10-Index
- 210
- Total Citations
- 59,249
- Citing Countries
- 11
As of May 2026.
Matthew Lieberman has an h-index of 108 and 59,249 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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Does rejection hurt? An fMRI study of social exclusion
20036,751
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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 social cognitive neuroscience framework for understanding intuition, a contribution validated by highly cited core and follow-up publications in top-tier journals.
The researcher pioneered the use of fMRI to investigate the neural mechanisms of social exclusion, establishing a foundational link between social pain and physical pain processing.
The researcher established that verbal labeling of emotions disrupts amygdala activity, providing a foundational neural mechanism for how language modulates affective responses.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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