Albert-László Barabási: h-index, Total Citations, and Citation Map
Albert-László Barabási's h-index is 174 (438 i10-index, 325,454+ total citations across 5+ publications) according to Google Scholar as of May 2026. Albert-László Barabási is affiliated with Northeastern University, Harvard Medical School, Central European University.
Albert-László Barabási is a researcher affiliated with Northeastern University, Harvard Medical School, Central European University, specializing in network science, statistical physics, biological physics. Their work has been cited 325,454 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Albert-László Barabási's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 174
- i10-Index
- 438
- Total Citations
- 325,454
- Citing Countries
- 20
As of May 2026.
Albert-László Barabási has an h-index of 174 and 325,454 total citations across 5 publications, with research cited by institutions in 20 countries.
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We've mapped 5,000 of 325,454 citations for Albert-László Barabási
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Global Impact Map
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Top Cited Works
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Emergence of scaling in random networks
199949,713
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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 the theoretical framework for scaling laws in random networks, fundamentally advancing the understanding of complex network structures through a seminal 1999 publication.
The researcher established foundational frameworks for assessing the error and attack tolerance of complex networks, a seminal contribution that has profoundly shaped the field of network science.
The researcher advanced the scientific understanding of network structures through a seminal 2002 publication that established foundational concepts in the emerging field of network science.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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