Google DeepMind (United Kingdom)

Papers in the tracked journals with an author at Google DeepMind (United Kingdom): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

← Corporate research

Key findings#

From 2017 to 2026 (so far), authors at Google DeepMind (United Kingdom) took part in 58 papers in the tracked journals, most of them in AI (53), statistics (3) and operations research (1).
It ranks #38 among the companies publishing in the tracked journals from 2023 to 2025.
9 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were University of Oxford (4), Google (United States) (3) and Princeton University (3).
The journals publishing most of them were Nature Machine Intelligence (7), IEEE Transactions on Pattern Analysis and Machine Intelligence (6) and Artificial Intelligence (4).
The most-cited of them is “Deep Audio-Visual Speech Recognition” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018), with 801 citations.

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	6	4	4	7	6	5	7	9	5
Statistics	0	0	0	1	2	0	0	0	0
Operations Research	0	0	0	0	0	0	0	0	1
Economics	0	0	0	1	0	0	0	0	0
All categories	6	4	4	9	8	5	7	9	6

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Nature Machine Intelligence	7
2	IEEE Transactions on Pattern Analysis and Machine Intelligence	6
3	Artificial Intelligence	4
4	Autonomous Agents and Multi-Agent Systems	3
5	Applied Intelligence	2
6	Artificial Intelligence Review	1
7	International Journal of Computer Vision	1
8	AI & Society	1
9	Mathematical Programming Computation	1
10	IEEE Transactions on Neural Networks and Learning Systems	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	University of Oxford	4
2	Google (United States)	3
3	Princeton University	3
4	University of Cambridge	3
5	Athens University of Economics and Business	2
6	Google (United Kingdom)	2
7	Imperial College London	2
8	King's College London	2
9	University of Wisconsin–Madison	2

Countries with the most papers, since 2023
#	Country	Papers
1	United Kingdom	27
2	United States	12
3	China	3
4	Canada	2
5	France	2
6	Greece	2
7	Australia	1
8	Switzerland	1
9	Czechia	1
10	Spain	1

Keywords with the most papers, since 2023
#	Keyword	Papers
1	large language models	4
2	competence	2
3	human-agent cooperation	2
4	image retrieval	2
5	personalized federated learning	2
6	self-supervised learning	2
7	social dilemmas	2
8	warmth	2
9	AI governance	1
10	Bayesian updating	1

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	801	8.5	Deep Audio-Visual Speech Recognition	IEEE Transactions on Pattern Analysis and Machine Intelligence	2018-12-21	Triantafyllos Afouras, Joon Son Chung, Andrew Senior et al.
2	657	9.9	Challenges of real-world reinforcement learning: definitions, benchmarks and analysis	Machine Learning	2021-04-22	Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz et al.
3	546	10.0	Deep learning, reinforcement learning, and world models	Neural Networks	2022-04-19	Yutaka Matsuo, Yann LeCun, Maneesh Sahani et al.
4	237	2.9	The Hanabi challenge: A new frontier for AI research	Artificial Intelligence	2019-11-27	Nolan Bard, Jakob Foerster, Sarath Chandar et al.
5	214	2.2	This time with feeling: learning expressive musical performance	Neural Computing and Applications	2018-11-14	Sageev Oore, Ian Simon, Sander Dieleman et al.
6	104	1.1	Convolutional Neural Network Architecture for Geometric Matching	IEEE Transactions on Pattern Analysis and Machine Intelligence	2018-08-13	Ignacio Rocco, Relja Arandjelović, Josef Šivic
7	96	1.0	Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning	IEEE Transactions on Neural Networks and Learning Systems	2019-01-29	Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski et al.
8	96	1.3	NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences	IEEE Transactions on Pattern Analysis and Machine Intelligence	2020-08-14	Ignacio Rocco, Mircea Cimpoi, Relja Arandjelović et al.
9	84	1.4	Meta-learning, social cognition and consciousness in brains and machines	Neural Networks	2021-10-19	Angela Langdon, Matthew Botvinick, Hiroyuki Nakahara et al.
10	80	3.2	A review of graph neural network applications in mechanics-related domains	Artificial Intelligence Review	2024-10-04	Yingxue Zhao, Haoran Li, Haosu Zhou et al.

Cite this page

Scholar4AI. (2026). Google DeepMind (United Kingdom). Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/companies/google-deepmind-united-kingdom

@misc{scholar4ai-companies-google-deepmind-united-kingdom,
  author = {{Scholar4AI}},
  title = {Google DeepMind (United Kingdom)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/google-deepmind-united-kingdom}},
  urldate = {2026-10-31},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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