David Sontag
Impact in
- Health Informatics top 0.5%
- Health Information Management top 0.1%
- Artificial Intelligence in Healthcare
Papers in
-
- Topic Modeling 15
- Machine Learning in Healthcare 13
- Bayesian Modeling and Causal Inference 13
- Natural Language Processing Techniques 11
- Machine Learning and Algorithms 10
- Machine Learning and Data Classification 5
-
- Biomedical Text Mining and Ontologies 7
- Co-authors
- Sanjay Purushotham (1 shared paper)Yan Liu (1 shared paper)Zhengping Che (1 shared paper)Alexander M. Rush (4 shared papers)Yacine Jernite (6 shared papers)Tommi Jaakkola (10 shared papers)Yoon Kim (4 shared papers)Yoni Halpern (11 shared papers)
- Journals
- Journal of the American Medical Informatics Association (3 papers)Scientific Reports (3 papers)Annals of Emergency Medicine (2 papers)The Journal of Rheumatology (1 paper)BMC Medical Research Methodology (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
David Sontag
84 papers receiving 5.2k citations
David Sontag's Hit Papers
Peers
Comparison fields: 5 of 191
- Health Informatics 176
- Health Information Management 466
- Artificial Intelligence 3.3k
- Signal Processing 657
- Computational Mathematics 21
Countries citing papers authored by David Sontag
This map shows the geographic impact of David Sontag'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 David Sontag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sontag more than expected).
Fields of papers citing papers by David Sontag
This network shows the impact of papers produced by David Sontag. 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 David Sontag. The network helps show where David Sontag may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sontag, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recurrent Neural Networks for Multivariate Time Series with Missing Values Hit paper breakdown → | 2018 | 1295 |
| 2 | Character-Aware Neural Language Models Hit paper breakdown → | 2016 | 641 |
| 3 | 2017 | 240 | |
| 4 | 2017 | 210 | |
| 5 | 2007 | 183 | |
| 6 | 2018 | 181 | |
| 7 | 2017 | 172 | |
| 8 | Large language models are few-shot clinical information extractors Hit paper breakdown → | 2022 | 161 |
| 9 | Learning Low-Dimensional Representations of Medical Concepts. | 2016 | 151 |
| 10 | 2015 | 139 | |
| 11 | 2014 | 139 | |
| 12 | 2011 | 130 | |
| 13 | 2012 | 111 | |
| 14 | On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing | 2010 | 110 |
| 15 | Dual Decomposition for Parsing with Non-Projective Head Automata | 2010 | 110 |
| 16 | Learning Bayesian Network Structure using LP Relaxations | 2010 | 103 |
| 17 | 2016 | 99 | |
| 18 | Introduction to dual composition for inference | 2011 | 99 |
| 19 | New Outer Bounds on the Marginal Polytope | 2007 | 75 |
| 20 | 2012 | 74 |
About David Sontag
David Sontag is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Health Information Management, having authored 86 papers that have together received 5.4k indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Machine Learning in Healthcare (13 papers), Bayesian Modeling and Causal Inference (13 papers), Natural Language Processing Techniques (11 papers), Machine Learning and Algorithms (10 papers), Biomedical Text Mining and Ontologies (7 papers), Machine Learning and Data Classification (5 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Informatics (176 citations), Health Information Management (466 citations), Artificial Intelligence (3.3k citations), Signal Processing (657 citations) and Computational Mathematics (21 citations). David Sontag has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Sanjay Purushotham, Yan Liu, Zhengping Che, Alexander M. Rush, Yacine Jernite, Tommi Jaakkola, Yoon Kim, Yoni Halpern, Steven Horng and Amir Globerson. Their work appears in journals such as Journal of the American Medical Informatics Association, Scientific Reports, Annals of Emergency Medicine, The Journal of Rheumatology and BMC Medical Research Methodology.
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.