David Wingate

2.2k citations
46 papers · 1.0k · 1 hit paper · h-index 15

Impact in

Papers in

David Wingate

44 papers receiving 986 citations

David Wingate's Hit Papers

Out of One, Many: Using Language Models to Simulate Human Samples 2023 · 250 citations
2500+1+2Years since publication50100150200250

Peers

David Wingate
Comparison fields: 5 of 111
  • General Social Sciences 70
  • Artificial Intelligence 438
  • Health Informatics 16
  • Control and Systems Engineering 152
  • Computational Theory and Mathematics 86
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Citations per field
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Citations per year

Countries citing papers authored by David Wingate

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 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 →
2023250
2 2019126
3 2018102
4 202360
5 201952
6 200547
7
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
201143
8 202135
9 201729
10
A Physics-Based Model Prior for Object-Oriented MDPs
201422
11 201019
12
Nonparametric Bayesian Policy Priors for Reinforcement Learning
201018
13
Infinite Dynamic Bayesian Networks
201117
14 201517
15 200716
16 201514
17
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
201113
18
Exponential Family Predictive Representations of State
200712
19 200412
20 200611

About David Wingate

David Wingate is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (8 papers), Gaussian Processes and Bayesian Inference (7 papers), Reinforcement Learning in Robotics (6 papers), Topic Modeling (5 papers), Parallel Computing and Optimization Techniques (4 papers), Machine Learning and Algorithms (4 papers), Social Media and Politics (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in General Social Sciences (70 citations), Artificial Intelligence (438 citations), Health Informatics (16 citations), Control and Systems Engineering (152 citations) and Computational Theory and Mathematics (86 citations). David Wingate has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Nancy Fulda, Lisa P. Argyle, Ethan C. Busby, Joshua R. Gubler, Christopher Rytting, Marc D. Killpack, Kevin Seppi, Noah D. Goodman, Alexander V. Shapeev and Andreas Stuhlmüller. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE/ACM Transactions on Audio Speech and Language Processing, Scientific Reports, The Journal of Positive Psychology and Political Analysis.

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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