The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Oriol Vinyals sits on this spectrum.
This scientist: 182 publications — 39th percentile
39% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Oriol Vinyals sits on this spectrum.
This scientist: 91 D-Index — 96th percentile
96% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Oriol Vinyals is a researcher affiliated with DeepMind in the United Kingdom. Their primary field of study is Computer Science, with a significant focus on Artificial Intelligence, as reflected in their extensive publication record. Their work spans several subfields including Computer Vision and Pattern Recognition, Molecular Biology, Materials Chemistry, and General Health Professions.
The main topics covered in their research include Topic Modeling, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Natural Language Processing Techniques, Advanced Graph Neural Networks, Machine Learning and Data Classification, and Reinforcement Learning in Robotics.
Some of Oriol Vinyals' recent papers include:
Frequent co-authors collaborating with Oriol Vinyals include Sebastian Borgeaud, Koray Kavukcuoglu, Pushmeet Kohli, Yujia Li, and Karen Simonyan.
They have published extensively in multiple venues, with numerous papers appearing in arXiv (Cornell University). Other frequent publication venues include Nature, Science, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and Communications of the ACM.
In addition to journal and conference publications, Oriol Vinyals has contributed to book publications, including a work released by RAND Corporation eBooks titled "Exploring the Feasibility and Utility of Machine Learning-Assisted Command and Control: Volume 2, Supporting Technical Analysis" published in 2021.
John M. Jumper;Richard O. Evans;Alexander Pritzel;Tim Green
Geoffrey E. Hinton;Oriol Vinyals;Jeffrey Dean
Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo
Yonghui Wu;Mike Schuster;Zhifeng Chen;Quoc V. Le
Oriol Vinyals;Alexander Toshev;Samy Bengio;Dumitru Erhan
Chiyuan Zhang;Samy Bengio;Moritz Hardt;Benjamin Recht
Aaron van den Oord;Yazhe Li;Oriol Vinyals
Oriol Vinyals;Charles Blundell;Timothy Lillicrap;Koray Kavukcuoglu
Aäron van den Oord;Sander Dieleman;Heiga Zen;Karen Simonyan
Jeff Donahue;Yangqing Jia;Oriol Vinyals;Judy Hoffman
Aaron van den Oord;Oriol Vinyals;koray kavukcuoglu
Justin Gilmer;Samuel S. Schoenholz;Patrick F. Riley;Oriol Vinyals
Oriol Vinyals;Igor Babuschkin;Wojciech M. Czarnecki;Michaël Mathieu
Chiyuan Zhang;Samy Bengio;Moritz Hardt;Benjamin Recht
Peter W. Battaglia;Jessica B. Hamrick;Victor Bapst;Alvaro Sanchez-Gonzalez
Joe Yue-Hei Ng;Matthew Hausknecht;Sudheendra Vijayanarasimhan;Oriol Vinyals
William Chan;Navdeep Jaitly;Quoc Le;Oriol Vinyals
Oriol Vinyals;Quoc V. Le
Samuel R. Bowman;Luke Vilnis;Oriol Vinyals;Andrew M. Dai
Aäron van den Oord;Nal Kalchbrenner;Oriol Vinyals;Lasse Espeholt
Samy Bengio;Oriol Vinyals;Navdeep Jaitly;Noam Shazeer
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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 58
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