David Wingate
Impact in
- General Social Sciences top 0.5%
- Computational and Text Analysis Methods
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Bayesian Modeling and Causal Inference
- Topic Modeling
- Machine Learning and Algorithms
Papers in
-
- Bayesian Modeling and Causal Inference 9
- Reinforcement Learning in Robotics 8
- Gaussian Processes and Bayesian Inference 7
- Machine Learning and Algorithms 6
- Topic Modeling 5
- Co-authors
- Lisa P. Argyle (5 shared papers)Ethan C. Busby (5 shared papers)Joshua R. Gubler (5 shared papers)Christopher Rytting (2 shared papers)Nancy Fulda (5 shared papers)Marc D. Killpack (4 shared papers)Kevin Seppi (5 shared papers)Noah D. Goodman (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Mathematical Geosciences (1 paper)Nature Computational Science (1 paper)Frontiers in Neurorobotics (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
David Wingate
49 papers receiving 1.2k citations
David Wingate's Hit Papers
Peers
Comparison fields: 5 of 118
- General Social Sciences 73
- Artificial Intelligence 525
- Health Informatics 17
- Control and Systems Engineering 172
- Computational Theory and Mathematics 102
Countries citing papers authored by David Wingate
This map shows the geographic impact of David Wingate'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 Wingate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wingate more than expected).
Fields of papers citing papers by David Wingate
This network shows the impact of papers produced by David Wingate. 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 Wingate. The network helps show where David Wingate may publish in the future.
Co-authors
The 25 scholars most cited alongside David Wingate, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Out of One, Many: Using Language Models to Simulate Human Samples Hit paper breakdown → | 2023 | 304 |
| 2 | 2019 | 128 | |
| 3 | 2018 | 117 | |
| 4 | Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale Hit paper breakdown → | 2023 | 73 |
| 5 | Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation | 2011 | 56 |
| 6 | 2019 | 55 | |
| 7 | 2005 | 55 | |
| 8 | 2021 | 37 | |
| 9 | 2017 | 31 | |
| 10 | A Physics-Based Model Prior for Object-Oriented MDPs | 2014 | 24 |
| 11 | Nonparametric Bayesian Policy Priors for Reinforcement Learning | 2010 | 22 |
| 12 | 2010 | 22 | |
| 13 | Bayesian Policy Search with Policy Priors | 2012 | 20 |
| 14 | 2015 | 19 | |
| 15 | 2007 | 18 | |
| 16 | Nonstandard Interpretations of Probabilistic Programs for Efficient Inference | 2011 | 17 |
| 17 | Infinite Dynamic Bayesian Networks | 2011 | 17 |
| 18 | 2004 | 15 | |
| 19 | 2015 | 14 | |
| 20 | Exponential Family Predictive Representations of State | 2007 | 14 |
About David Wingate
David Wingate is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Reinforcement Learning in Robotics (8 papers), Gaussian Processes and Bayesian Inference (7 papers), Machine Learning and Algorithms (6 papers), Topic Modeling (5 papers), Parallel Computing and Optimization Techniques (4 papers), Computational and Text Analysis Methods (3 papers) and Soft Robotics and Applications (3 papers). The work is most often cited by research in General Social Sciences (73 citations), Artificial Intelligence (525 citations), Health Informatics (17 citations), Control and Systems Engineering (172 citations) and Computational Theory and Mathematics (102 citations). David Wingate has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Lisa P. Argyle, Ethan C. Busby, Joshua R. Gubler, Christopher Rytting, Nancy Fulda, Marc D. Killpack, Kevin Seppi, Noah D. Goodman, Andreas Stuhlmüller and Taylor Sorensen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Mathematical Geosciences, Nature Computational Science, Frontiers in Neurorobotics and Journal of Machine Learning Research.
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.