David E. Liston
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
-
- Artificial Intelligence in Healthcare
Papers in
-
- Anesthesia and Neurotoxicity Research 3
-
- Cardiac, Anesthesia and Surgical Outcomes 5
- Co-authors
- Trevor L. Adams (1 shared paper)Jerry W. Kim (1 shared paper)Bala G. Nair (1 shared paper)Michael J. Eisses (1 shared paper)Scott Lundberg (1 shared paper)Monica Shanta Vavilala (1 shared paper)Su‐In Lee (1 shared paper)Mayumi Horibe (1 shared paper)
- Journals
- Journal of Pediatric Urology (1 paper)Nature Biomedical Engineering (1 paper)Journal of Clinical Anesthesia (1 paper)Journal of Cardiothoracic and Vascular Anesthesia (1 paper)Anesthesia & Analgesia (1 paper)
- Partner nations
- United StatesIreland
In The Last Decade
David E. Liston
10 papers receiving 1.5k citations
David E. Liston's Hit Papers
Peers
Comparison fields: 5 of 174
- Health Informatics 122
- Health Information Management 64
- Artificial Intelligence 316
- Radiology, Nuclear Medicine and Imaging 103
- Environmental Engineering 70
Countries citing papers authored by David E. Liston
This map shows the geographic impact of David E. Liston'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 David E. Liston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Liston more than expected).
Fields of papers citing papers by David E. Liston
This network shows the impact of papers produced by David E. Liston. 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 David E. Liston. The network helps show where David E. Liston may publish in the future.
Co-authors
The 22 scholars most cited alongside David E. Liston, 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 | Explainable machine-learning predictions for the prevention of hypoxaemia during surgery Hit paper breakdown → | 2018 | 1428 |
| 2 | 2020 | 43 | |
| 3 | 2020 | 12 | |
| 4 | 2020 | 11 | |
| 5 | 2022 | 8 | |
| 6 | 2014 | 5 | |
| 7 | 2017 | 4 | |
| 8 | 2014 | 2 | |
| 9 | 2013 | 2 | |
| 10 | 2014 | 1 | |
| 11 | 2025 | 0 |
About David E. Liston
David E. Liston is a scholar working on Developmental Neuroscience, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Medical Laboratory Technology and Health Informatics, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Anesthesia and Neurotoxicity Research (3 papers), Health and Medical Research Impacts (3 papers), Quality and Safety in Healthcare (1 paper), Patient Safety and Medication Errors (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Tracheal and airway disorders (1 paper) and Mechanical Circulatory Support Devices (1 paper). The work is most often cited by research in Health Informatics (122 citations), Health Information Management (64 citations), Artificial Intelligence (316 citations), Radiology, Nuclear Medicine and Imaging (103 citations) and Environmental Engineering (70 citations). David E. Liston has collaborated with scholars based in United States and Ireland. Frequent co-authors include Trevor L. Adams, Jerry W. Kim, Bala G. Nair, Michael J. Eisses, Scott Lundberg, Monica Shanta Vavilala, Su‐In Lee, Mayumi Horibe, Shu-Fang Newman and Michael J. Richards. Their work appears in journals such as Journal of Pediatric Urology, Nature Biomedical Engineering, Journal of Clinical Anesthesia, Journal of Cardiothoracic and Vascular Anesthesia and Anesthesia & Analgesia.
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.