Jose J. Ramasco: h-index, Total Citations, and Citation Map
Jose J. Ramasco's h-index is 51 (106 i10-index, 16,531+ total citations across 284+ publications) according to Google Scholar as of June 2026. Jose J. Ramasco is affiliated with IFISC (CSIC-UIB).
Jose J. Ramasco is a researcher affiliated with IFISC (CSIC-UIB), specializing in Complex Systems, urban science, human mobility. Their work has been cited 16,531 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jose J. Ramasco's Citation Metrics
Bibliometric impact based on 284 indexed publications.
- H-Index
- 51
- i10-Index
- 106
- Total Citations
- 16,531
- Citing Countries
- 64
As of June 2026.
Jose J. Ramasco has an h-index of 51 and 16,531 total citations across 284 publications, with research cited by institutions in 64 countries.
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Multiscale mobility networks and the spatial spreading of infectious diseases
20091,786
Top Citing Countries
Top Citing Institutions
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.
5 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed foundational methods for identifying statistically significant communities in networks, establishing a rigorous framework that has been widely adopted and extended in subsequent network science research.
The researcher established a foundational framework for modeling infectious disease spread using multiscale mobility networks, fundamentally advancing spatial epidemiology.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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