Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
2017 • 32042 Citations
Published in IEEE International Conference on Computer Vision (ICCV)
Alexei A. Efros
Alexei A. Efros is a researcher affiliated with Dept. of Electrical Engineering and Computer Sciences, UC Berkeley, specializing in AI & Machine Learning. Their work has been cited 182,488 times. This profile visualizes their global influence, highlighting strong citation networks in US.
AI & Machine Learning
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Dept. of Electrical Engineering and Computer Sciences, UC Berkeley•
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Alexei A. Efros's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 182,488
- Citing Countries
- 1
As of April 2026.
Alexei A. Efros has an h-index of 1 and 182,488 total citations across 1 publication, with research cited by institutions in 1 country.
Global Impact Map
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Top Citing Countries(Limited)
United States(US)
3Top Citing Institutions(Limited)
Stanford University
3Visa 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.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 1 of 1 countries (3 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Lvmin Zhang
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution - #2
Anyi Rao
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution - #3
Maneesh Agrawala
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (University of California, Berkeley). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
· cites “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
· cites “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
Lvmin Zhang, Anyi Rao, Maneesh Agrawala
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2023· cites “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
· cites “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
Top Cited Works(Showing 1 of 1)
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Citation Trend (Last 10 Years)
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