Dan Jurafsky

30.6k citations

203 papers · 13.5k indexed · 13 hit papers · h-index 55

Impact in

Artificial Intelligence top 0.02%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
- Semantic Web and Ontologies
- Speech Recognition and Synthesis
Health Informatics top 0.2%

Papers in

Artificial Intelligence 142
- Natural Language Processing Techniques 90
- Topic Modeling 84
- Speech and dialogue systems 27
- Speech Recognition and Synthesis 21
- Advanced Text Analysis Techniques 15
Health Informatics 4

Co-authors: Nathanael Chambers Rion Snow Jure Leskovec Jiwei Li Chu‐Ren Huang William L. Hamilton Alan Ritter Will Monroe
Journals: Proceedings of the National Academy of Sciences (7 papers)Cognitive Science (3 papers)Science (2 papers)Health Psychology (2 papers)Computational Linguistics (2 papers)
Partner nations: United States France United Kingdom

In The Last Decade

Dan Jurafsky

192 papers receiving 12.4k citations

Hit Papers

13 papers align trajectories log scale

AI generates covertly racist decisions about people based on their dialect 2024 · 55 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 Nature
2023 The Lancet Digital Health
2023 BOA (University of Milano-Bicocca)
2020 Proceedings of the National Academy of Sciences
2018 Proceedings of the National Academy of Sciences
2017 Adversarial Learning for Neural Dialogue Generation
2017 Proceedings of the National Academy of Sciences
2016 Visualizing and Understanding Neural Models in NLP
2016 Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
2016 Deep Reinforcement Learning for Dialogue Generation
2015 A Hierarchical Neural Autoencoder for Paragraphs and Documents
2009 Distant supervision for relation extraction without labeled data
2008 Journal of Memory and Language

Peers

Countries citing papers authored by Dan Jurafsky

Since Specialization

Citations

This map shows the geographic impact of Dan Jurafsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dan Jurafsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Jurafsky more than expected).

Fields of papers citing papers by Dan Jurafsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Jurafsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dan Jurafsky. The network helps show where Dan Jurafsky may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan Jurafsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Jurafsky Line = papers co-authored together Dan Jurafsky links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Labeling messages as AI-generated does not reduce their persuasive effects PNAS Nexus ·Isabel O. Gallegos, Mücahit Baltik, Weiyan Shi, Federico Bianchi, K Nelle, Dan Jurafsky, Liu Zhilan	2026	2
2	Using Large Language Models to Promote Health Equity NEJM AI ·Emma Pierson, 四元美帆, Jessica Kay, Jon Kleinberg, E. C. Redman, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Avery Hee-Woon Ryoo	2025	6
3	Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens Golinelli Gaetano Maria, 包艳, 河在鳳, B Kappis, 周宜博 ZHOU Yi-bo, Oliver Adams, Dan Jurafsky	2024	0
4	People who share encounters with racism are silenced online by humans and machines, but a guideline-reframing intervention holds promise Proceedings of the National Academy of Sciences ·石黒浩三, Kristina Gligorić, Pratyusha Kalluri, Hartwig, Esin Durmus, Anja Wollesen, Golinelli Gaetano Maria, Dedy Surya, Xuan Zhao, Ankita Saharia, Hazel Rose Markus, Dan Jurafsky, Jennifer L. Eberhardt	2024	5
5	string2string: A Modern Python Library for String-to-String Algorithms Mirac Süzgün, Stuart M. Shieber, Dan Jurafsky	2024	1
6	Coming into relations: How communication reveals and persuades relational decisions Social Networks ·Daniel A. McFarland, A Warren, Vinodkumar Prabhakaran, Dan Jurafsky	2024	1
7	Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models Myra Cheng, Esin Durmus, Dan Jurafsky	2023	39
8	Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding Mirac Süzgün, Luke Melas-Kyriazi, Dan Jurafsky	2023	4
9	Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale BOA (University of Milano-Bicocca) ·Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan Hit paper breakdown →	2023	118
10	Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models Mirac Süzgün, Luke Melas-Kyriazi, Dan Jurafsky	2022	19
11	The Authenticity Gap in Human Evaluation Kawin Ethayarajh, Dan Jurafsky	2022	5
12	A Suite of Mobile Conversational Agents for Daily Stress Management (Popbots): Mixed Methods Exploratory Study JMIR Formative Research ·Matthew Louis Mauriello, Carle, R NNotske, Ting-Ting Shen, Chumaevskaia Oa, Ankit K. Lohani, Xingxing Yan, Chrystal Shu Min Ng, Rosita Wolfe, Joshua Kim, A Gaudi, Dan Jurafsky, Pablo Paredes	2021	14
13	Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts Tanni Chakraborty, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang	2018	11
14	Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change William L. Hamilton, Jure Leskovec, Dan Jurafsky Hit paper breakdown →	2016	404
15	Linguistic Markers of Status in Food Culture: Bourdieu’s Distinction in a Menu Corpus SHILAP Revista de lepidopterología ·Dan Jurafsky, Victor Chahuneau, Bryan Routledge, Noah A. Smith	2016	13
16	The Dialogic Turn and the Performance of Gender: the English Canon 1782-2011. DH ·Susan S. Buchkowsky, Mark Algee‐Hewitt, Dan Jurafsky	2016	2
17	Ketchup, Interdisciplinarity, and the Spread of Innovation in Speech and Language Processing. Conference of the International Speech Communication Association ·Dan Jurafsky	2016	1
18	Coling 2010: Posters International Conference on Computational Linguistics ·Chu‐Ren Huang, Dan Jurafsky	2010	1
19	Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing Empirical Methods in Natural Language Processing ·Dan Jurafsky, Éric Gaussier	2006	170
20	Automatic Extraction of Opinion Propositions and their Holders National Conference on Artificial Intelligence ·Steven Bethard, Hong Yu, W. Sonnenschein, Vasileios Hatzivassiloglou, Dan Jurafsky	2004	111

About Dan Jurafsky

Dan Jurafsky is a scholar working on Artificial Intelligence, Health Informatics, Experimental and Cognitive Psychology, General Social Sciences and Cultural Studies, having authored 203 papers that have together received 13.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (90 papers), Topic Modeling (84 papers), Speech and dialogue systems (27 papers), Speech Recognition and Synthesis (21 papers), Phonetics and Phonology Research (17 papers), Advanced Text Analysis Techniques (15 papers), Language and cultural evolution (11 papers) and Multimodal Machine Learning Applications (11 papers). The work is most often cited by research in Artificial Intelligence (9.9k citations), Health Informatics (290 citations), General Social Sciences (389 citations), Linguistics and Language (393 citations) and Experimental and Cognitive Psychology (1.0k citations). Dan Jurafsky has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Nathanael Chambers, Rion Snow, Jure Leskovec, Jiwei Li, Chu‐Ren Huang, William L. Hamilton, Alan Ritter, Will Monroe, Aravind K. Joshi and James Zou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cognitive Science, Science, Health Psychology and Computational Linguistics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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