Greg Wayne
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- EEG and Brain-Computer Interfaces
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Topic Modeling
- Reinforcement Learning in Robotics
Papers in
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- Neural dynamics and brain function 5
- EEG and Brain-Computer Interfaces 2
- Memory and Neural Mechanisms 2
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- Reinforcement Learning in Robotics 3
- Neural Networks and Applications 2
- Co-authors
- Josh Merel (4 shared papers)Matthew Botvinick (3 shared papers)Christopher Summerfield (2 shared papers)Demis Hassabis (2 shared papers)Agnieszka Grabska‐Barwińska (1 shared paper)Ivo Danihelka (1 shared paper)Phil Blunsom (1 shared paper)Georg Ostrovski (1 shared paper)
- Journals
- Nature (3 papers)Behavioral and Brain Sciences (2 papers)Nature Communications (2 papers)Nature Neuroscience (2 papers)Neuron (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Greg Wayne
15 papers receiving 2.3k citations
Greg Wayne's Hit Papers
Peers
Comparison fields: 5 of 147
- Cognitive Neuroscience 958
- Artificial Intelligence 924
- Computer Vision and Pattern Recognition 441
- Sensory Systems 72
- Cellular and Molecular Neuroscience 235
Countries citing papers authored by Greg Wayne
This map shows the geographic impact of Greg Wayne'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 Greg Wayne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Wayne more than expected).
Fields of papers citing papers by Greg Wayne
This network shows the impact of papers produced by Greg Wayne. 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 Greg Wayne. The network helps show where Greg Wayne may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Wayne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Hybrid computing using a neural network with dynamic external memory Hit paper breakdown → | 2016 | 853 |
| 2 | A deep learning framework for neuroscience Hit paper breakdown → | 2019 | 587 |
| 3 | Vector-based navigation using grid-like representations in artificial agents Hit paper breakdown → | 2018 | 402 |
| 4 | 2019 | 173 | |
| 5 | 2014 | 126 | |
| 6 | 2020 | 74 | |
| 7 | 2023 | 34 | |
| 8 | 2024 | 31 | |
| 9 | Robust imitation of diverse behaviors | 2017 | 30 |
| 10 | 2017 | 22 | |
| 11 | 2016 | 20 | |
| 12 | 1987 | 11 | |
| 13 | 2014 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2017 | 1 |
About Greg Wayne
Greg Wayne is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Sensory Systems, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (5 papers), Robot Manipulation and Learning (4 papers), Reinforcement Learning in Robotics (3 papers), EEG and Brain-Computer Interfaces (2 papers), Memory and Neural Mechanisms (2 papers), Neural Networks and Applications (2 papers) and Human Motion and Animation (1 paper). The work is most often cited by research in Cognitive Neuroscience (958 citations), Artificial Intelligence (924 citations), Computer Vision and Pattern Recognition (441 citations), Sensory Systems (72 citations) and Cellular and Molecular Neuroscience (235 citations). Greg Wayne has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Josh Merel, Matthew Botvinick, Christopher Summerfield, Demis Hassabis, Agnieszka Grabska‐Barwińska, Ivo Danihelka, Phil Blunsom, Georg Ostrovski, John Agapiou and Adrià Puigdomènech Badia. Their work appears in journals such as Nature, Behavioral and Brain Sciences, Nature Communications, Nature Neuroscience and Neuron.
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.