Dan Klein: h-index, Total Citations, and Citation Map
Dan Klein's h-index is 97 (232 i10-index, 47,172+ total citations across 332+ publications) according to Google Scholar as of July 2026. Dan Klein is affiliated with UC Berkeley.
Dan Klein is a researcher affiliated with UC Berkeley, specializing in various fields. Their work has been cited 47,172 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Dan Klein's Citation Metrics
Bibliometric impact based on 332 indexed publications.
- H-Index
- 97
- i10-Index
- 232
- Total Citations
- 47,172
- Citing Countries
- 64
As of July 2026.
Dan Klein has an h-index of 97 and 47,172 total citations across 332 publications, with research cited by institutions in 64 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Feature-rich part-of-speech tagging with a cyclic dependency network
20034,660
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
28 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered neural module networks for compositional reasoning, extending the framework to abstract syntax networks for code generation and semantic parsing.
The researcher pioneered methods for learning accurate, compact, and interpretable tree annotations, establishing a foundational framework for dependency-based compositional semantics in natural language processing.
The researcher advanced grammar induction by developing generative constituent-context models and extending them to corpus-based syntactic structure induction.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Dan Klein's research
Dan Klein is a researcher at UC Berkeley. Their work has been cited 47,172 times across 332 publications (h-index 97), according to Google Scholar.
Their most-cited work, “Feature-rich part-of-speech tagging with a cyclic dependency network” (2003), has accumulated 4,660 citations. Other influential works include “Accurate unlexicalized parsing” (2003) with 4,243 citations and “Calibrate before use: Improving few-shot performance of language models” (2021) with 2,243 citations.
Citations of Dan Klein'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.
