Alexei A. Efros: h-index, Total Citations, and Citation Map
Alexei A. Efros's h-index is 20 (20 i10-index, 190,692+ total citations across 1+ publications) according to Google Scholar as of August 2026. Alexei A. Efros is affiliated with UC Berkeley.
Alexei A. Efros is a researcher affiliated with UC Berkeley, specializing in AI & Machine Learning. Their work has been cited 190,692 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Alexei A. Efros's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 20
- i10-Index
- 20
- Total Citations
- 190,692
- Citing Countries
- 62
As of August 2026.
Alexei A. Efros has an h-index of 20 and 190,692 total citations across 1 publication, with research cited by institutions in 62 countries.
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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
201732,042
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Alexei A. Efros's research
Alexei A. Efros is a researcher in AI & Machine Learning at UC Berkeley. Their work has been cited 190,692 times across 1 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks” (2017), has accumulated 32,042 citations. Other influential works include “The Unreasonable Effectiveness of Deep Features as a Perceptual Metric” (2018) with 11,717 citations and “Colorful Image Colorization” (2016) with 3,312 citations.
Citations of Alexei A. Efros'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.
