Ryan Kindle
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Intensive Care Unit Cognitive Disorders
Papers in
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- Sepsis Diagnosis and Treatment 3
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- Machine Learning in Healthcare 3
- Explainable Artificial Intelligence (XAI) 1
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Leo Anthony Celi (5 shared papers)Omar Badawi (1 shared paper)Arne Peine (1 shared paper)Gerd Ascheid (1 shared paper)Ahmed Hallawa (1 shared paper)Johannes Bickenbach (1 shared paper)Gernot Marx (1 shared paper)Lukas Märtin (1 shared paper)
- Journals
- npj Digital Medicine (2 papers)Critical Care Clinics (1 paper)Critical Care Explorations (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Ryan Kindle
5 papers receiving 135 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 33
- Critical Care and Intensive Care Medicine 21
- Health Information Management 14
- Family Practice 6
- Artificial Intelligence 60
Countries citing papers authored by Ryan Kindle
This map shows the geographic impact of Ryan Kindle'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 Ryan Kindle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Kindle more than expected).
Fields of papers citing papers by Ryan Kindle
This network shows the impact of papers produced by Ryan Kindle. 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 Ryan Kindle. The network helps show where Ryan Kindle may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Kindle, 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 | 2021 | 70 | |
| 2 | 2019 | 42 | |
| 3 | 2020 | 18 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 4 |
About Ryan Kindle
Ryan Kindle is a scholar working on Epidemiology, Artificial Intelligence, Pulmonary and Respiratory Medicine, Surgery and Critical Care and Intensive Care Medicine, having authored 5 papers that have together received 142 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Sepsis Diagnosis and Treatment (3 papers), Respiratory Support and Mechanisms (2 papers), Explainable Artificial Intelligence (XAI) (1 paper), Adversarial Robustness in Machine Learning (1 paper), Emergency and Acute Care Studies (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Health Informatics (33 citations), Critical Care and Intensive Care Medicine (21 citations), Health Information Management (14 citations), Family Practice (6 citations) and Artificial Intelligence (60 citations). Ryan Kindle has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Leo Anthony Celi, Omar Badawi, Arne Peine, Gerd Ascheid, Ahmed Hallawa, Johannes Bickenbach, Gernot Marx, Lukas Märtin, Guido Dartmann and Christoph Thiemermann. Their work appears in journals such as npj Digital Medicine, Critical Care Clinics, Critical Care Explorations and Proceedings of the AAAI Conference on Artificial Intelligence.
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.