Emily M. Bender: h-index, Total Citations, and Citation Map
Emily M. Bender's h-index is 43 (91 i10-index, 27,956+ total citations across 244+ publications) according to Google Scholar as of July 2026. Emily M. Bender is affiliated with Professor, Dept of Linguistics, University of Washington.
Emily M. Bender is a researcher affiliated with Professor, Dept of Linguistics, University of Washington, specializing in Computational Linguistics, Linguistics. Their work has been cited 27,956 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Emily M. Bender's Citation Metrics
Bibliometric impact based on 244 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 43
- i10-Index
- 91
- Total Citations
- 27,956
- Citing Countries
- 56
As of July 2026.
Emily M. Bender has an h-index of 43 and 27,956 total citations across 244 publications, with research cited by institutions in 56 countries.
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On the dangers of stochastic parrots: Can language models be too big?🦜
202114,788
Top Citing Countries
Top Citing Institutions
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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.
48 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a formal syntactic theory framework, subsequently advancing scalable, modular grammar engineering methodologies that significantly influenced computational linguistics.
The researcher developed the Grammar Matrix, an open-source framework enabling rapid, cross-linguistically consistent grammar development, a tool that has sustained independent scholarly adoption for over two decades.
The researcher advanced efficient deep processing for Japanese and cross-linguistic grammar resources, establishing a foundational framework widely adopted by independent scholars in computational linguistics.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Emily M. Bender's research
Emily M. Bender is a researcher in Computational Linguistics and Linguistics at Professor, Dept of Linguistics, University of Washington. Their work has been cited 27,956 times across 244 publications (h-index 43), according to Google Scholar.
Their most-cited work, “On the dangers of stochastic parrots: Can language models be too big?🦜” (2021), has accumulated 14,788 citations. Other influential works include “Climbing towards NLU: On meaning, form, and understanding in the age of data” (2020) with 2,381 citations and “Syntactic theory: A formal introduction” (1999) with 2,141 citations.
Citations of Emily M. Bender's research come primarily from United States, China and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
