Phillip Isola Google Scholar: h-index, Total Citations, and Citation Map
Phillip Isola has 129,339+ total citations according to Google Scholar as of November 2026. Phillip Isola is affiliated with MIT.
Phillip Isola is a researcher affiliated with MIT, specializing in AI & Machine Learning. Their work has been cited 129,339 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Phillip Isola's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 129,339
- Citing Countries
- 7
As of November 2026.
Phillip Isola has an h-index of 1 and 129,339 total citations across 1 publication, with research cited by institutions in 7 countries.
Global Impact Map
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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
201731,948
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 Phillip Isola's research
Phillip Isola is a researcher in AI & Machine Learning at MIT. Their work has been cited 129,339 times across 1 publication, according to Google Scholar.
Their most-cited work, “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks” (2017), has accumulated 31,948 citations.
Citations of Phillip Isola's research come primarily from United States, India and Italy, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
