David Duvenaud

46 papers and 3.3k indexed citations i.

About

David Duvenaud is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, David Duvenaud has authored 46 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in David Duvenaud’s work include Generative Adversarial Networks and Image Synthesis (16 papers), Gaussian Processes and Bayesian Inference (13 papers) and Model Reduction and Neural Networks (9 papers). David Duvenaud is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (16 papers), Gaussian Processes and Bayesian Inference (13 papers) and Model Reduction and Neural Networks (9 papers). David Duvenaud collaborates with scholars based in Canada, United States and United Kingdom. David Duvenaud's co-authors include Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, Jennifer N. Wei, Alán Aspuru‐Guzik, Ryan P. Adams, Dennis Sheberla, Rafael Gómez‐Bombarelli, Timothy Hirzel and Benjamín Sánchez-Lengeling and has published in prestigious journals such as Cognitive Psychology, ACS Central Science and Computer Graphics Forum.

In The Last Decade

Co-authorship network of co-authors of David Duvenaud i

Fields of papers citing papers by David Duvenaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Duvenaud. 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 Duvenaud. The network helps show where David Duvenaud may publish in the future.

Countries citing papers authored by David Duvenaud

Since Specialization
Citations

This map shows the geographic impact of David Duvenaud'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 Duvenaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Duvenaud more than expected).

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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