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Mark Dredze

Active 2003–2026

287
Papers
24,263
Citations
68
h-index
182
i10-index

Citations

Citations per year for Mark Dredze1944: 1 citations1965: 1 citations1967: 3 citations1969: 2 citations1982: 1 citations1992: 1 citations1994: 1 citations1998: 1 citations1999: 3 citations2002: 3 citations2003: 1 citations2004: 1 citations2005: 2 citations2006: 12 citations2007: 13 citations2008: 74 citations2009: 148 citations2010: 190 citations2011: 290 citations2012: 379 citations2013: 512 citations2014: 577 citations2015: 695 citations2016: 849 citations2017: 1,046 citations2018: 948 citations2019: 1,191 citations2020: 1,320 citations2021: 1,214 citations2022: 800 citations2023: 1,008 citations2024: 1,378 citations2025: 1,042 citations2026: 321 citations1945–1964: no citations, so these years are not shown1966: no citations, so this year is not shown1968: no citations, so this year is not shown1970–1981: no citations, so these years are not shown1983–1991: no citations, so these years are not shown1993: no citations, so this year is not shown1995–1997: no citations, so these years are not shown2000–2001: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,221 citing papers, 30.2% of this breakdownChina: 1,812 citing papers, 13% of this breakdownUnited Kingdom: 1,018 citing papers, 7.3% of this breakdownGermany: 517 citing papers, 3.7% of this breakdownAustralia: 483 citing papers, 3.5% of this breakdownCanada: 447 citing papers, 3.2% of this breakdownIndia: 410 citing papers, 2.9% of this breakdownItaly: 340 citing papers, 2.4% of this breakdownFrance: 331 citing papers, 2.4% of this breakdownSingapore: 320 citing papers, 2.3% of this breakdownJapan: 304 citing papers, 2.2% of this breakdownSpain: 291 citing papers, 2.1% of this breakdown
0%30.2%Other 24.8%

Institutions

Fields

  • Computer Science52.1%
  • Medicine14.4%
  • Social Sciences11.9%
  • Psychology8.6%
  • Decision Sciences3.7%
  • Physics and Astronomy1.6%
  • Other7.7%

Topics

  • Topic Modeling10.9%
  • Natural Language Processing Techniques6.1%
  • Sentiment Analysis and Opinion Mining5.2%
  • Misinformation and Its Impacts3.2%
  • Mental Health via Writing3.1%
  • Text and Document Classification Technologies3%
  • Other68.5%

Coauthors

All papers

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  1. Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum

    Authors: John W. Ayers, Adam Poliak, Mark Dredze, Eric C. Leas, Zechariah Zhu, Jessica B. Kelley, Dennis J. Faix, Aaron M. Goodman, Chris Longhurst, Michael Hogarth, Davey M. Smith - JAMA Internal Medicine 2023 cited by 2,292

  2. BloombergGPT: A Large Language Model for Finance

    Authors: Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David S. Rosenberg, Gideon Mann - arXiv (Cornell University), CoRR 2023 cited by 976

  3. Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media

    Authors: Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar - CHI Conference on Human Factors in Computing Systems 2016 cited by 727

  4. Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate

    Authors: David Broniatowski, Amelia Jamison, SiHua Qi, Lulwah Alkulaib, Tao Chen, Adrian Benton, Sandra Crouse Quinn, Mark Dredze - American Journal of Public Health 2018 cited by 1,173

  5. Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings

    Authors: Nanyun Peng, Mark Dredze - Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 cited by 403

  6. Quantifying Mental Health Signals in Twitter

    Authors: Glen Coppersmith, Mark Dredze, Craig Harman - Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych@ACL 2014 cited by 706

  7. Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions

    Authors: Hanjie Chen, Zhouxiang Fang, Yash Singla, Mark Dredze - Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL (Long Papers) 2025 cited by 47

  8. Evaluating Artificial Intelligence Responses to Public Health Questions

    Authors: John W. Ayers, Zechariah Zhu, Adam Poliak, Eric C. Leas, Mark Dredze, Michael Hogarth, Davey M. Smith - JAMA Network Open 2023 cited by 115

  9. CLPsych 2015 Shared Task: Depression and PTSD on Twitter

    Authors: Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, Margaret Mitchell - Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych@HLT-NAACL 2015 cited by 322

  10. Are All Languages Created Equal in Multilingual BERT?

    Authors: Shijie Wu, Mark Dredze - Workshop on Representation Learning for NLP, RepL4NLP@ACL 2020 cited by 221

  11. Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

    Authors: Shijie Wu, Mark Dredze - Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), EMNLP/IJCNLP (1) 2019 cited by 594

  12. From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses

    Authors: Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead - Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych@HLT-NAACL 2015 cited by 347

  13. Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance

    Authors: Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein - PLoS Computational Biology, PLoS Comput. Biol. 2015 cited by 447

  14. Support for Interactive Identification of Mentioned Entities in Conversational Speech

    Authors: Ning Gao, Douglas W. Oard, Mark Dredze - SIGIR Conference on Research and Development in Information Retrieval 2017 cited by 22

  15. Measuring Post Traumatic Stress Disorder in Twitter

    Authors: Glen Coppersmith, Craig Harman, Mark Dredze - AAAI Conference on Web and Social Media, ICWSM 2014 cited by 310

  16. Ethical Research Protocols for Social Media Health Research

    Authors: Adrian Benton, Glen Coppersmith, Mark Dredze - First ACL Workshop on Ethics in Natural Language Processing, EthNLP@EACL 2017 cited by 215

  17. RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models

    Authors: Bang An, Shiyue Zhang, Mark Dredze - Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL (Long Papers) 2025 cited by 18

  18. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification

    Authors: John Blitzer, Mark Dredze, Fernando Pereira - http://www.seas.upenn.edu/~mdredze/publications/sentiment_acl07.pdf 2007 cited by 2,427

  19. A Closer Look at Claim Decomposition

    Authors: Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme - Joint Conference on Lexical and Computational Semantics (*SEM 2024), *SEM@NAACL 2024 cited by 17

  20. Confidence-weighted linear classification

    Authors: Mark Dredze, Koby Crammer, Fernando Pereira - conference on Machine learning - ICML '08 2008 cited by 376

  21. Using Large Language Models to Support Content Analysis: A Case Study of ChatGPT for Adverse Event Detection

    Authors: Eric C. Leas, John W. Ayers, Nimit Desai, Mark Dredze, Michael Hogarth, Davey M. Smith - Journal of Medical Internet Research 2024 cited by 25

  22. DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation

    Authors: Miriam Wanner, Benjamin Van Durme, Mark Dredze - Conference on Empirical Methods in Natural Language Processing, EMNLP 2025 cited by 12

  23. Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models

    Authors: Kaiser Sun, Mark Dredze - Workshop on Representation Learning for NLP (RepL4NLP-2025), Proceedings of the 10th Workshop on Representation Learning for NLP (RepL4NLP-2025) 2025 cited by 12

  24. You Are What You Tweet: Analyzing Twitter for Public Health

    Authors: Michael J. Paul, Mark Dredze - AAAI Conference on Web and Social Media, ICWSM 2011 cited by 964