Richard Zemel Google Scholar: h-index, Total Citations, and Citation Map
Richard Zemel's h-index is 91 (215 i10-index, 118,463+ total citations across 100+ publications) according to Google Scholar as of November 2026. Richard Zemel is affiliated with University of Toronto.
Richard Zemel is a researcher affiliated with University of Toronto, specializing in AI & Machine Learning. Their work has been cited 118,463 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Richard Zemel's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 91
- i10-Index
- 215
- Total Citations
- 118,463
- Citing Countries
- 69
As of November 2026.
Richard Zemel has an h-index of 91 and 118,463 total citations across 100 publications, with research cited by institutions in 69 countries.
Global Impact Map
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Prototypical networks for few-shot learning
201714,788
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 Richard Zemel's research
Richard Zemel is a researcher in AI & Machine Learning at University of Toronto. Their work has been cited 118,463 times across 100 publications (h-index 91), according to Google Scholar.
Their most-cited work, “Prototypical networks for few-shot learning” (2017), has accumulated 14,788 citations. Other influential works include “Show, Attend and Tell: Neural Image Caption Generation with Visual Attention” (2015) with 14,521 citations and “Advances in neural information processing systems” (2019) with 11,136 citations.
Citations of Richard Zemel'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.
