Alex Beatson
Impact in
-
- Computational Drug Discovery Methods
-
- Respiratory Support and Mechanisms
Papers in
-
- Respiratory Support and Mechanisms 5
-
- Model Reduction and Neural Networks 1
- Co-authors
- Sachin Ravi (1 shared paper)Geoffrey M. Shaw (5 shared papers)J. Geoffrey Chase (5 shared papers)Vincent J. Major (5 shared papers)Ákos Szlávecz (5 shared papers)Yeong Shiong Chiew (5 shared papers)Christopher G. Pretty (4 shared papers)Thomas Desaive (3 shared papers)
- Journals
- Biomedical Signal Processing and Control (1 paper)BioMedical Engineering OnLine (1 paper)Soft Matter (1 paper)Chemical Research in Toxicology (1 paper)IFAC-PapersOnLine (1 paper)
- Partner nations
- New ZealandHungaryUnited States
In The Last Decade
Alex Beatson
11 papers receiving 264 citations
Alex Beatson's Hit Papers
Peers
Comparison fields: 5 of 56
- Computational Theory and Mathematics 59
- Pulmonary and Respiratory Medicine 107
- Artificial Intelligence 32
- Health Informatics 2
- Statistical and Nonlinear Physics 9
Countries citing papers authored by Alex Beatson
This map shows the geographic impact of Alex Beatson'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 Alex Beatson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Beatson more than expected).
Fields of papers citing papers by Alex Beatson
This network shows the impact of papers produced by Alex Beatson. 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 Alex Beatson. The network helps show where Alex Beatson may publish in the future.
Co-authors
The 19 scholars most cited alongside Alex Beatson, 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 | Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World Hit paper breakdown → | 2025 | 70 |
| 2 | 2014 | 63 | |
| 3 | 2020 | 45 | |
| 4 | Amortized Bayesian Meta-Learning | 2018 | 37 |
| 5 | 2015 | 27 | |
| 6 | 2015 | 12 | |
| 7 | 2014 | 7 | |
| 8 | 2015 | 6 | |
| 9 | 2014 | 4 | |
| 10 | Amortized Finite Element Analysis for Fast PDE-Constrained Optimization | 2020 | 3 |
| 11 | Blind attacks on machine learners | 2016 | 1 |
About Alex Beatson
Alex Beatson is a scholar working on Pulmonary and Respiratory Medicine, Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 275 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (5 papers), Advanced Materials and Mechanics (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Machine Learning in Materials Science (1 paper), Heart Rate Variability and Autonomic Control (1 paper), Adversarial Robustness in Machine Learning (1 paper), Non-Invasive Vital Sign Monitoring (1 paper) and Model Reduction and Neural Networks (1 paper). The work is most often cited by research in Computational Theory and Mathematics (59 citations), Pulmonary and Respiratory Medicine (107 citations), Artificial Intelligence (32 citations), Health Informatics (2 citations) and Statistical and Nonlinear Physics (9 citations). Alex Beatson has collaborated with scholars based in New Zealand, Hungary and United States. Frequent co-authors include Sachin Ravi, Geoffrey M. Shaw, J. Geoffrey Chase, Vincent J. Major, Ákos Szlávecz, Yeong Shiong Chiew, Christopher G. Pretty, Thomas Desaive, Balázs István Benyó and Daniel P. Redmond. Their work appears in journals such as Biomedical Signal Processing and Control, BioMedical Engineering OnLine, Soft Matter, Chemical Research in Toxicology and IFAC-PapersOnLine.
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.