S. Matthew Liao
- Cognitive Neuroscience top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Philosophy top 5%
- Sociology and Political Science
- Co-authors
- Rebecca RoacheAnders SandbergMark SheehanZhaolei ZhangJulian SavulescuXiaojun LuHao BaiXuejiao Hu
- Topics
- Neuroethics, Human Enhancement, Biomedical Innovations (11 papers)Ethics in medical practice (8 papers)Ethics and Legal Issues in Pediatric Healthcare (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaTrends in Cognitive SciencesJournal of Clinical Microbiology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
S. Matthew Liao
48 papers receiving 642 citations
Peers
Comparison fields: 5 of 125
- Cognitive Neuroscience 200
- Molecular Biology 139
- Public Health, Environmental and Occupational Health 95
- Philosophy 93
- Sociology and Political Science 81
Countries citing papers authored by S. Matthew Liao
This map shows the geographic impact of S. Matthew Liao'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 S. Matthew Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Matthew Liao more than expected).
Fields of papers citing papers by S. Matthew Liao
This network shows the impact of papers produced by S. Matthew Liao. 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 S. Matthew Liao. The network helps show where S. Matthew Liao may publish in the future.
Co-authorship network of co-authors of S. Matthew Liao
This figure shows the co-authorship network connecting the top 25 collaborators of S. Matthew Liao. A scholar is included among the top collaborators of S. Matthew Liao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Matthew Liao. S. Matthew Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 29 | |
| 8 | 53 | |
| 9 | 27 | |
| 10 | 58 | |
| 11 | 47 | |
| 12 | Second-order Optimization for Deep Reinforcement Learning using Kronecker-factored Approximation | 3 |
| 13 | Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation | 27 |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 20 | |
| 17 | Special issue: the ethics of enhancement | 1 |
| 18 | 3 | |
| 19 | 20 | |
| 20 | 1 |
About S. Matthew Liao
S. Matthew Liao is a scholar working on Health Informatics, Philosophy and Cognitive Neuroscience, having authored 55 papers that have together received 719 indexed citations. Recurring topics across this work include Neuroethics, Human Enhancement, Biomedical Innovations (11 papers), Ethics in medical practice (8 papers) and Ethics and Legal Issues in Pediatric Healthcare (7 papers). The work is most often cited by research in Health Informatics (27 citations), Cognitive Neuroscience (200 citations) and Philosophy (93 citations). S. Matthew Liao has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Rebecca Roache, Anders Sandberg, Mark Sheehan, Zhaolei Zhang, Julian Savulescu, Xiaojun Lu, Hao Bai, Xuejiao Hu, Roger Grosse and Minjin Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Trends in Cognitive Sciences and Journal of Clinical Microbiology.
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.