Alex Beatson
Impact in
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- Intensive Care Unit Cognitive Disorders
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- Respiratory Support and Mechanisms
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Neonatal Respiratory Health Research
Papers in
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- Respiratory Support and Mechanisms 5
- Chronic Obstructive Pulmonary Disease (COPD) Research 2
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- Machine Learning and Algorithms 3
- Gaussian Processes and Bayesian Inference 3
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Sachin Ravi (1 shared paper)Vincent J. Major (5 shared papers)J. Geoffrey Chase (5 shared papers)Daniel P. Redmond (5 shared papers)Geoffrey M. Shaw (5 shared papers)Yeong Shiong Chiew (5 shared papers)Christopher G. Pretty (4 shared papers)Simon Corbett (4 shared papers)
- Journals
- Soft Matter (1 paper)Biomedical Signal Processing and Control (1 paper)BioMedical Engineering OnLine (1 paper)IFAC-PapersOnLine (1 paper)International Conference on Learning Representations (2 papers)
- Partner nations
- United StatesNew ZealandHungary
In The Last Decade
Alex Beatson
13 papers receiving 189 citations
Peers
Comparison fields: 5 of 52
- Critical Care and Intensive Care Medicine 23
- Pulmonary and Respiratory Medicine 106
- Emergency Medicine 21
- Artificial Intelligence 31
- Biomedical Engineering 42
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 24 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 | 2014 | 63 | |
| 2 | 2020 | 41 | |
| 3 | Amortized Bayesian Meta-Learning | 2018 | 32 |
| 4 | 2015 | 25 | |
| 5 | 2015 | 12 | |
| 6 | 2015 | 6 | |
| 7 | 2014 | 6 | |
| 8 | 2014 | 3 | |
| 9 | Amortized Finite Element Analysis for Fast PDE-Constrained Optimization | 2020 | 2 |
| 10 | 2019 | 2 | |
| 11 | 2020 | 2 | |
| 12 | Blind attacks on machine learners | 2016 | 1 |
| 13 | Randomized Automatic Differentiation | 2021 | 1 |
About Alex Beatson
Alex Beatson is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Critical Care and Intensive Care Medicine, Biomedical Engineering and Emergency Medicine, having authored 13 papers that have together received 196 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (5 papers), Machine Learning and Algorithms (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Cardiac Arrest and Resuscitation (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (23 citations), Pulmonary and Respiratory Medicine (106 citations), Emergency Medicine (21 citations), Artificial Intelligence (31 citations) and Biomedical Engineering (42 citations). Alex Beatson has collaborated with scholars based in United States, New Zealand and Hungary. Frequent co-authors include Sachin Ravi, Vincent J. Major, J. Geoffrey Chase, Daniel P. Redmond, Geoffrey M. Shaw, Yeong Shiong Chiew, Christopher G. Pretty, Simon Corbett, Balázs Benyó and Thomas Desaive. Their work appears in journals such as Soft Matter, Biomedical Signal Processing and Control, BioMedical Engineering OnLine, IFAC-PapersOnLine and International Conference on Learning Representations.
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.