John Quan Google Scholar: h-index, Total Citations, and Citation Map
John Quan's h-index is 20 (24 i10-index, 28,805+ total citations across 25+ publications) according to Google Scholar as of September 2026. John Quan is affiliated with Meta FAIR.
John Quan is a researcher affiliated with Meta FAIR, specializing in various fields. Their work has been cited 28,805 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
John Quan's Citation Metrics
Bibliometric impact based on 25 indexed publications.
- H-Index
- 20
- i10-Index
- 24
- Total Citations
- 28,805
- Citing Countries
- 68
As of September 2026.
John Quan has an h-index of 20 and 28,805 total citations across 25 publications, with research cited by institutions in 68 countries.
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Overcoming catastrophic forgetting in neural networks
201713,405
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About John Quan's research
John Quan is a researcher at Meta FAIR. Their work has been cited 28,805 times across 25 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Overcoming catastrophic forgetting in neural networks” (2017), has accumulated 13,405 citations. Other influential works include “Prioritized experience replay” (2015) with 7,705 citations and “Deep q-learning from demonstrations” (2018) with 1,691 citations.
Citations of John Quan'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.
