Dan Jurafsky: h-index, Total Citations, and Citation Map
Dan Jurafsky's h-index is 137 (371 i10-index, 116,648+ total citations across 502+ publications) according to Google Scholar as of August 2026. Dan Jurafsky is affiliated with Professor of Linguistics and Computer Science, Stanford University.
Dan Jurafsky is a researcher affiliated with Professor of Linguistics and Computer Science, Stanford University, specializing in various fields. Their work has been cited 116,648 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Dan Jurafsky's Citation Metrics
Bibliometric impact based on 502 indexed publications.
- H-Index
- 137
- i10-Index
- 371
- Total Citations
- 116,648
- Citing Countries
- 70
As of August 2026.
Dan Jurafsky has an h-index of 137 and 116,648 total citations across 502 publications, with research cited by institutions in 70 countries.
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Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition
200023,176
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Dan Jurafsky's research
Dan Jurafsky is a researcher at Professor of Linguistics and Computer Science, Stanford University. Their work has been cited 116,648 times across 502 publications (h-index 137), according to Google Scholar.
Their most-cited work, “Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition” (2000), has accumulated 23,176 citations. Other influential works include “On the opportunities and risks of foundation models” (2021) with 11,503 citations and “Distant supervision for relation extraction without labeled data” (2009) with 4,062 citations.
Citations of Dan Jurafsky'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.
