Michelle Girvan Google Scholar: h-index, Total Citations, and Citation Map
Michelle Girvan's h-index is 37 (63 i10-index, 51,015+ total citations across 134+ publications) according to Google Scholar as of October 2026. Michelle Girvan is affiliated with University of Maryland.
Michelle Girvan is a researcher affiliated with University of Maryland, specializing in complex networks, computational biology. Their work has been cited 51,015 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Michelle Girvan's Citation Metrics
Bibliometric impact based on 134 indexed publications. Of these, 15 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 37
- i10-Index
- 63
- Total Citations
- 51,015
- Citing Countries
- 42
As of October 2026.
Michelle Girvan has an h-index of 37 and 51,015 total citations across 134 publications, with research cited by institutions in 42 countries.
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Community structure in social and biological networks
200221,754
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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 advanced the understanding of community structure in social and biological networks through a seminal 2002 PNAS publication that has garnered over 21,000 citations.
The researcher established that policing behavior stabilizes social niche construction in primates, a foundational finding published in Nature with nearly 1,000 citations.
The researcher developed a foundational framework for identifying and evaluating community structure in complex networks, establishing a standard methodology widely adopted across scientific disciplines.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Michelle Girvan's research
Michelle Girvan is a researcher in complex networks and computational biology at University of Maryland. Their work has been cited 51,015 times across 134 publications (h-index 37), according to Google Scholar.
Their most-cited work, “Community structure in social and biological networks” (2002), has accumulated 21,754 citations. Other influential works include “Finding and evaluating community structure in networks” (2004) with 19,991 citations and “Model-free prediction of large spatiotemporally chaotic systems from data: A reservoir computing approach” (2018) with 1,725 citations.
Citations of Michelle Girvan's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
