Dalle Molle Institute for Artificial Intelligence Research · 1×
×5.96k/972HI
×1.162k/57kAI
×1.026k/25kCVPR
×2.610k/4kCN
×1.37k/6kCTM
Citations per year
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Countries citing scholars working at Google DeepMind (United Kingdom)
Since Specialization
Citations
This map shows the geographic impact of research produced by authors working at Google DeepMind (United Kingdom). 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 papers produced at Google DeepMind (United Kingdom) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Google DeepMind (United Kingdom) more than expected).
Fields of papers published by authors at Google DeepMind (United Kingdom)
This network shows the impact of papers affiliated with Google DeepMind (United Kingdom) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Google DeepMind (United Kingdom) at the time of their publication.
About Google DeepMind (United Kingdom)
In recent decades, authors affiliated with Google DeepMind (United Kingdom) have published 1.3k papers, which have received a total of 206k indexed citations . Scholars at this organization have produced 652 papers in Artificial Intelligence, 227 papers in Computer Vision and Pattern Recognition, 22 papers in Health Informatics, 75 papers in Safety Research and 114 papers in Cognitive Neuroscience on the topics of Reinforcement Learning in Robotics (202 papers), Topic Modeling (112 papers), Natural Language Processing Techniques (85 papers), Multimodal Machine Learning Applications (71 papers), Ethics and Social Impacts of AI (67 papers), Domain Adaptation and Few-Shot Learning (62 papers), Artificial Intelligence in Games (51 papers) and Generative Adversarial Networks and Image Synthesis (48 papers). Their work is cited by papers focused on Health Informatics (5.8k citations), Artificial Intelligence (61.9k citations), Computer Vision and Pattern Recognition (26.5k citations), Cognitive Neuroscience (9.6k citations) and Computational Theory and Mathematics (7.4k citations). Authors at Google DeepMind (United Kingdom) collaborate with scholars in United Kingdom, United States and Canada and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences, Nature Communications, Science and Nature Neuroscience. Some of Google DeepMind (United Kingdom)'s most productive authors include David Silver, Andrew Zisserman, Demis Hassabis, Arthur Guez, João Carreira, Hado P. van Hasselt, Ioannis Antonoglou, Dharshan Kumaran, Koray Kavukcuoglu and Timothy Lillicrap.
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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