Jimmy Ba: h-index, Total Citations, and Citation Map
Jimmy Ba's h-index is 34 (54 i10-index, 336,364+ total citations across 104+ publications) according to Google Scholar as of September 2026. Jimmy Ba is affiliated with University of Toronto.
Jimmy Ba is a researcher affiliated with University of Toronto, specializing in AI & Machine Learning. Their work has been cited 336,364 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jimmy Ba's Citation Metrics
Bibliometric impact based on 104 indexed publications.
- H-Index
- 34
- i10-Index
- 54
- Total Citations
- 336,364
- Citing Countries
- 57
As of September 2026.
Jimmy Ba has an h-index of 34 and 336,364 total citations across 104 publications, with research cited by institutions in 57 countries.
Global Impact Map
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Adam: A Method for Stochastic Optimization
2015248,343
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 Jimmy Ba's research
Jimmy Ba is a researcher in AI & Machine Learning at University of Toronto. Their work has been cited 336,364 times across 104 publications (h-index 34), according to Google Scholar.
Their most-cited work, “Adam: A Method for Stochastic Optimization” (2015), has accumulated 248,343 citations. Other influential works include “Show, Attend and Tell: Neural Image Caption Generation with Visual Attention” (2015) with 7,495 citations and “Do Deep Nets Really Need to be Deep?” (2013) with 1,480 citations.
Citations of Jimmy Ba'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.
