John Hopfield: h-index, Total Citations, and Citation Map
John Hopfield's h-index is 96 (182 i10-index, 98,364+ total citations across 306+ publications) according to Google Scholar as of September 2026. John Hopfield is affiliated with Professor, Princeton University.
John Hopfield is a researcher affiliated with Professor, Princeton University, specializing in Neural Networks, AI, Neuroscience. Their work has been cited 98,364 times. This profile visualizes their global influence, spanning a global audience.
John Hopfield's Citation Metrics
Bibliometric impact based on 306 indexed publications.
- H-Index
- 96
- i10-Index
- 182
- Total Citations
- 98,364
- Citing Countries
- 0
As of September 2026.
John Hopfield has an h-index of 96 and 98,364 total citations across 306 publications, with research cited by institutions in 0 countries.
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Neural networks and physical systems with emergent collective computational abilities.
198230,416
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Citation Trend (Last 10 Years)
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About John Hopfield's research
John Hopfield is a researcher in Neural Networks, AI and Neuroscience at Professor, Princeton University. Their work has been cited 98,364 times across 306 publications (h-index 96), according to Google Scholar.
Their most-cited work, “Neural networks and physical systems with emergent collective computational abilities.” (1982), has accumulated 30,416 citations. Other influential works include “Neural networks and physical systems with emergent collective computational abilities.” (1982) with 30,416 citations and “Neurons with graded response have collective computational properties like those of two-state neurons.” (1984) with 10,078 citations.
