Matthew Lai
Impact in
- Artificial Intelligence top 0.2%
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
- Health Informatics top 1%
Papers in
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- Reinforcement Learning in Robotics 3
- Artificial Intelligence in Games 2
- Neural Networks and Applications 1
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- Robotic Path Planning Algorithms 1
- Co-authors
- Timothy Lillicrap (2 shared papers)Julian Schrittwieser (2 shared papers)Karen Simonyan (2 shared papers)Ioannis Antonoglou (2 shared papers)Laurent Sifre (2 shared papers)Thore Graepel (2 shared papers)David Silver (2 shared papers)Demis Hassabis (2 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (1 paper)Science Robotics (1 paper)Science (1 paper)Nature (1 paper)Journal of Immigrant and Minority Health (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Matthew Lai
7 papers receiving 7.0k citations
Matthew Lai's Hit Papers
Peers
Comparison fields: 5 of 190
- Artificial Intelligence 3.8k
- Health Informatics 94
- Computer Vision and Pattern Recognition 981
- Control and Systems Engineering 861
- Computational Theory and Mathematics 562
Countries citing papers authored by Matthew Lai
This map shows the geographic impact of Matthew Lai'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 Matthew Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Lai more than expected).
Fields of papers citing papers by Matthew Lai
This network shows the impact of papers produced by Matthew Lai. 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 Matthew Lai. The network helps show where Matthew Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Lai, 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 | Mastering the game of Go without human knowledge Hit paper breakdown → | 2017 | 5141 |
| 2 | A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play Hit paper breakdown → | 2018 | 1882 |
| 3 | 2016 | 212 | |
| 4 | 2021 | 33 | |
| 5 | 2021 | 11 | |
| 6 | 2023 | 1 | |
| 7 | A shigellosis outbreak at a primary school in Kuanhsi, Hsinchu County | 1998 | 1 |
| 8 | 2025 | 1 |
About Matthew Lai
Matthew Lai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health, Pediatrics, Perinatology and Child Health and Control and Systems Engineering, having authored 8 papers that have together received 7.3k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Artificial Intelligence in Games (2 papers), Vaccine Coverage and Hesitancy (1 paper), COVID-19 epidemiological studies (1 paper), Educational Games and Gamification (1 paper), Neural Networks and Applications (1 paper), Robotic Path Planning Algorithms (1 paper) and Robot Manipulation and Learning (1 paper). The work is most often cited by research in Artificial Intelligence (3.8k citations), Health Informatics (94 citations), Computer Vision and Pattern Recognition (981 citations), Control and Systems Engineering (861 citations) and Computational Theory and Mathematics (562 citations). Matthew Lai has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Timothy Lillicrap, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Laurent Sifre, Thore Graepel, David Silver, Demis Hassabis, Thomas Hubert and Arthur Guez. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Science Robotics, Science, Nature and Journal of Immigrant and Minority Health.
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.