Prafulla Dhariwal

10.4k citations
3 papers · 127 indexed · h-index 3
Topics
Mathematics, Computing, and Information Processing (1 paper)Logic, programming, and type systems (1 paper)Logic, Reasoning, and Knowledge (1 paper)
Journals
arXiv (Cornell University)International Conference on Learning Representations

In The Last Decade

Prafulla Dhariwal

3 papers receiving 121 citations

Peers

Prafulla Dhariwal
Comparison fields: 5 of 40
  • Artificial Intelligence 92
  • Computer Vision and Pattern Recognition 54
  • Signal Processing 16
  • Information Systems 9
  • Computational Theory and Mathematics 7
Replace Jiayuan Mao with:
Jiayuan Mao China
Benjamin Eysenbach United States
Gabriele Ciravegna Italy
Abdul Mueed Hafiz India
Ju-Sung Kang South Korea
Xujiang Zhao United States
Ishan Durugkar United States
Florian Scheidegger Switzerland
Vadim Sheinin United States
Ariel Gordon United States
Prafulla Dhariwal relative to Jiayuan Mao China Jiayuan Mao's profile →
Citations per field
00.5×9.5×
Jiayuan Mao · 1×
Citations per year

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

3 of 3 papers shown
#WorkIndexed citations
1
GamePad: A Learning Environment for Theorem Proving
6
2
Parameter Space Noise for Exploration
32
3 89

About Prafulla Dhariwal

Prafulla Dhariwal is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 3 papers that have together received 127 indexed citations. Recurring topics across this work include Mathematics, Computing, and Information Processing (1 paper), Logic, programming, and type systems (1 paper) and Logic, Reasoning, and Knowledge (1 paper). The work is most often cited by research in Artificial Intelligence (92 citations), Computer Vision and Pattern Recognition (54 citations) and Signal Processing (16 citations). Frequent 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. Their work appears in journals such as arXiv (Cornell University) and International Conference on Learning Representations.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026