Marc Barthelemy: h-index, Total Citations, and Citation Map
Marc Barthelemy's h-index is 72 (129 i10-index, 47,020+ total citations across 5+ publications) according to Google Scholar as of May 2026. Marc Barthelemy is affiliated with Institut de Physique Theorique (CEA) - CAMS (EHESS), CSH Vienna.
Marc Barthelemy is a researcher affiliated with Institut de Physique Theorique (CEA) - CAMS (EHESS), CSH Vienna, specializing in Networks, Statistical Physics, Cities. Their work has been cited 47,020 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Marc Barthelemy's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 72
- i10-Index
- 129
- Total Citations
- 47,020
- Citing Countries
- 18
As of May 2026.
Marc Barthelemy has an h-index of 72 and 47,020 total citations across 5 publications, with research cited by institutions in 18 countries.
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Global Impact Map
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Top Cited Works
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The architecture of complex weighted networks
20045,524
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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 foundational frameworks for analyzing complex weighted and multilayer networks, significantly advancing the theoretical understanding of network architecture and structure.
The researcher established a foundational framework for classifying small-world networks, a seminal contribution that has been widely adopted by independent scholars across diverse scientific disciplines.
The researcher identified a fundamental resolution limit in community detection algorithms, establishing a critical theoretical boundary for network analysis published in PNAS.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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