Anna D. Broido: h-index, Total Citations, and Citation Map
Anna D. Broido's h-index is 5 (5 i10-index, 1,554+ total citations across 5+ publications) according to Google Scholar as of May 2026. Anna D. Broido is affiliated with University of Colorado Boulder.
Anna D. Broido is a researcher affiliated with University of Colorado Boulder, specializing in various fields. Their work has been cited 1,554 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Anna D. Broido's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 5
- i10-Index
- 5
- Total Citations
- 1,554
- Citing Countries
- 22
As of May 2026.
Anna D. Broido has an h-index of 5 and 1,554 total citations across 5 publications, with research cited by institutions in 22 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Anna D. Broido's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Top Cited Works
Tip: clickto hide a row from the map
Scale-free networks are rare
20191,486
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.
The researcher challenged the ubiquity of scale-free networks, providing critical empirical evidence that such structures are rare in real-world systems.
The researcher advanced stochastic algorithm efficiency analysis by comparing computational performance across two distinct infection models, establishing a benchmark for methodological evaluation in this domain.
The researcher challenged the ubiquity of scale-free networks, providing critical empirical evidence that such structures are rare in real-world systems.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.











