Virginia Smith Google Scholar: h-index, Total Citations, and Citation Map
Virginia Smith's h-index is 45 (81 i10-index, 37,291+ total citations across 158+ publications) according to Google Scholar as of September 2026. Virginia Smith is affiliated with Carnegie Mellon University.
Virginia Smith is a researcher affiliated with Carnegie Mellon University, specializing in various fields. Their work has been cited 37,291 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Virginia Smith's Citation Metrics
Bibliometric impact based on 158 indexed publications.
- H-Index
- 45
- i10-Index
- 81
- Total Citations
- 37,291
- Citing Countries
- 60
As of September 2026.
Virginia Smith has an h-index of 45 and 37,291 total citations across 158 publications, with research cited by institutions in 60 countries.
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Global Impact Map
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Federated optimization in heterogeneous networks
202011,905
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Virginia Smith's research
Virginia Smith is a researcher at Carnegie Mellon University. Their work has been cited 37,291 times across 158 publications (h-index 45), according to Google Scholar.
Their most-cited work, “Federated optimization in heterogeneous networks” (2020), has accumulated 11,905 citations. Other influential works include “Federated learning: Challenges, methods, and future directions” (2020) with 9,655 citations and “Federated multi-task learning” (2017) with 3,027 citations.
Citations of Virginia Smith's research come primarily from China, United States 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.
