10.4k total citations 3 papers, 127 citations indexed
About
Prafulla Dhariwal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics.
According to data from OpenAlex, Prafulla Dhariwal has authored 3 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Prafulla Dhariwal's work include Mathematics, Computing, and Information Processing (1 paper), Logic, programming, and type systems (1 paper) and Logic, Reasoning, and Knowledge (1 paper). Prafulla Dhariwal is often cited by papers focused on Mathematics, Computing, and Information Processing (1 paper), Logic, programming, and type systems (1 paper) and Logic, Reasoning, and Knowledge (1 paper). Prafulla Dhariwal collaborates with scholars based in . Prafulla Dhariwal's co-authors include Pieter Abbeel, Ilya Sutskever, Xi Chen, Tim Salimans, Yan Duan, John Schulman, Diederik P. Kingma, Szymon Sidor, Marcin Andrychowicz and Matthias Plappert and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Learning Representations.
Citations per year, relative to Prafulla Dhariwal Prafulla Dhariwal (= 1×)
peers
Xujiang Zhao
Countries citing papers authored by Prafulla Dhariwal
Since
Specialization
Citations
This map shows the geographic impact of Prafulla Dhariwal'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 Prafulla Dhariwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prafulla Dhariwal more than expected).
Fields of papers citing papers by Prafulla Dhariwal
This network shows the impact of papers produced by Prafulla Dhariwal. 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 Prafulla Dhariwal. The network helps show where Prafulla Dhariwal may publish in the future.
Co-authorship network of co-authors of Prafulla Dhariwal
This figure shows the co-authorship network connecting the top 25 collaborators of Prafulla Dhariwal.
A scholar is included among the top collaborators of Prafulla Dhariwal based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Prafulla Dhariwal. Prafulla Dhariwal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
3 of 3 papers shown
1.
Huang, Daniel, Prafulla Dhariwal, Dawn Song, & Ilya Sutskever. (2018). GamePad: A Learning Environment for Theorem Proving. International Conference on Learning Representations.6 indexed citations
2.
Plappert, Matthias, Rein Houthooft, Prafulla Dhariwal, et al.. (2018). Parameter Space Noise for Exploration. International Conference on Learning Representations.32 indexed citations
3.
Chen, Xi, Diederik P. Kingma, Tim Salimans, et al.. (2016). Variational Lossy Autoencoder. arXiv (Cornell University).89 indexed citations
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.