Prafulla Dhariwal

23 total papers · 21.6k 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 Logic, programming, and type systems (1 paper), Evolutionary Algorithms and Applications (1 paper) and Logic, Reasoning, and Knowledge (1 paper). Prafulla Dhariwal is often cited by papers focused on Logic, programming, and type systems (1 paper), Evolutionary Algorithms and Applications (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, Tim Salimans, Xi Chen, John Schulman, Diederik P. Kingma, Yan Duan, Marcin Andrychowicz, Rein Houthooft and Tamim Asfour and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Prafulla Dhariwal

3 papers receiving 121 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Prafulla Dhariwal 92 54 16 9 7 3 127
Jelena Luketina 68 0.7× 34 0.6× 13 0.8× 8 0.9× 8 1.1× 4 142
Liam Li 65 0.7× 30 0.6× 8 0.5× 10 1.1× 10 1.4× 3 127
Su-In Lee 95 1.0× 41 0.8× 13 0.8× 11 1.2× 2 0.3× 3 150
Benjamin Eysenbach 86 0.9× 78 1.4× 17 1.1× 5 0.6× 6 0.9× 6 132
Gabriëlle Ras 116 1.3× 43 0.8× 9 0.6× 6 0.7× 6 0.9× 2 203
Diane Bouchacourt 126 1.4× 106 2.0× 16 1.0× 6 0.7× 4 0.6× 6 193
Daniel Guo 111 1.2× 26 0.5× 12 0.8× 5 0.6× 3 0.4× 3 134
Krzysztof Maziarz 84 0.9× 49 0.9× 11 0.7× 14 1.6× 23 3.3× 7 150
Kelei Cao 120 1.3× 150 2.8× 20 1.3× 13 1.4× 4 0.6× 3 210
Soeren Sonnenburg 95 1.0× 64 1.2× 16 1.0× 10 1.1× 5 0.7× 5 230

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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