Mark Dredze
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence top 0.05%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
Papers in
-
- Topic Modeling 87
- Natural Language Processing Techniques 60
- Text and Document Classification Technologies 15
-
- Misinformation and Its Impacts 37
- Co-authors
- Fernando Pereira (11 shared papers)Michael J. Paul (30 shared papers)Glen Coppersmith (8 shared papers)John Blitzer (6 shared papers)David Broniatowski (25 shared papers)John W. Ayers (45 shared papers)Koby Crammer (12 shared papers)Craig Harman (5 shared papers)
- Journals
- JAMA Internal Medicine (10 papers)PLoS ONE (8 papers)Journal of Medical Internet Research (6 papers)Vaccine (5 papers)American Journal of Preventive Medicine (5 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Mark Dredze
243 papers receiving 13.3k citations
Mark Dredze's Hit Papers
Peers
Comparison fields: 5 of 186
- Health Informatics 802
- Artificial Intelligence 6.6k
- Applied Psychology 844
- Health 1.2k
- Communication 727
Countries citing papers authored by Mark Dredze
This map shows the geographic impact of Mark Dredze'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 Mark Dredze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Dredze more than expected).
Fields of papers citing papers by Mark Dredze
This network shows the impact of papers produced by Mark Dredze. 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 Mark Dredze. The network helps show where Mark Dredze may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Dredze, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum Hit paper breakdown → | 2023 | 1326 |
| 2 | Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification Hit paper breakdown → | 2007 | 1319 |
| 3 | Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate Hit paper breakdown → | 2018 | 691 |
| 4 | Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media Hit paper breakdown → | 2016 | 471 |
| 5 | Quantifying Mental Health Signals in Twitter Hit paper breakdown → | 2014 | 435 |
| 6 | 2013 | 326 | |
| 7 | Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT Hit paper breakdown → | 2019 | 304 |
| 8 | 2015 | 283 | |
| 9 | 2008 | 272 | |
| 10 | 2015 | 245 | |
| 11 | 2013 | 213 | |
| 12 | 2015 | 207 | |
| 13 | Creating Speech and Language Data With Amazon's Mechanical Turk | 2010 | 205 |
| 14 | 2015 | 204 | |
| 15 | 2014 | 200 | |
| 16 | 2010 | 190 | |
| 17 | 2014 | 189 | |
| 18 | 2014 | 186 | |
| 19 | 2010 | 179 | |
| 20 | Separating Fact from Fear: Tracking Flu Infections on Twitter | 2013 | 177 |
About Mark Dredze
Mark Dredze is a scholar working on Artificial Intelligence, Sociology and Political Science, Epidemiology, Health and Information Systems, having authored 255 papers that have together received 14.1k indexed citations. Recurring topics across this work include Topic Modeling (87 papers), Natural Language Processing Techniques (60 papers), Misinformation and Its Impacts (37 papers), Data-Driven Disease Surveillance (35 papers), Vaccine Coverage and Hesitancy (17 papers), Mental Health via Writing (16 papers), Social Media in Health Education (15 papers) and Text and Document Classification Technologies (15 papers). The work is most often cited by research in Health Informatics (802 citations), Artificial Intelligence (6.6k citations), Applied Psychology (844 citations), Health (1.2k citations) and Communication (727 citations). Mark Dredze has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Fernando Pereira, Michael J. Paul, Glen Coppersmith, John Blitzer, David Broniatowski, John W. Ayers, Koby Crammer, Craig Harman, Eric C. Leas and Nanyun Peng. Their work appears in journals such as JAMA Internal Medicine, PLoS ONE, Journal of Medical Internet Research, Vaccine and American Journal of Preventive Medicine.
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.