Ali Farhadi Google Scholar: h-index, Total Citations, and Citation Map
Ali Farhadi's h-index is 78 (194 i10-index, 230,642+ total citations across 315+ publications) according to Google Scholar as of November 2026. Ali Farhadi is affiliated with Computer Science and Engineering, University of Washington.
Ali Farhadi is a researcher affiliated with Computer Science and Engineering, University of Washington, specializing in AI & Machine Learning. Their work has been cited 230,642 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ali Farhadi's Citation Metrics
Bibliometric impact based on 315 indexed publications.
- H-Index
- 78
- i10-Index
- 194
- Total Citations
- 230,642
- Citing Countries
- 75
As of November 2026.
Ali Farhadi has an h-index of 78 and 230,642 total citations across 315 publications, with research cited by institutions in 75 countries.
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.
You Only Look Once: Unified, Real-Time Object Detection
201675,074
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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Ali Farhadi's research
Ali Farhadi is a researcher in AI & Machine Learning at Computer Science and Engineering, University of Washington. Their work has been cited 230,642 times across 315 publications (h-index 78), according to Google Scholar.
Their most-cited work, “You Only Look Once: Unified, Real-Time Object Detection” (2016), has accumulated 75,074 citations. Other influential works include “YOLO9000: Better, Faster, Stronger” (2017) with 18,710 citations and “YOLOv3: An Incremental Improvement” (2018) with 5,881 citations.
Citations of Ali Farhadi's research come primarily from United States, China 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.
