Conner Galloway
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Atrial Fibrillation Management and Outcomes
- Cardiac pacing and defibrillation studies
Papers in
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- Cardiac electrophysiology and arrhythmias 2
- ECG Monitoring and Analysis 2
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- Potassium and Related Disorders 2
- Co-authors
- Paul A. Friedman (4 shared papers)D.J. Albert (4 shared papers)Jacqueline Baras Shreibati (4 shared papers)Zachi I. Attia (3 shared papers)Rickey E. Carter (2 shared papers)Peter A. Noseworthy (3 shared papers)Michael J. Ackerman (3 shared papers)Alexander Valys (4 shared papers)
- Journals
- Journal of the American College of Cardiology (3 papers)European Heart Journal (1 paper)Circulation (1 paper)JAMA Cardiology (1 paper)Fusion Engineering and Design (1 paper)
- Partner nations
- United StatesNew ZealandSpain
In The Last Decade
Conner Galloway
7 papers receiving 324 citations
Conner Galloway's Hit Papers
Peers
Comparison fields: 5 of 49
- Health Informatics 38
- Cardiology and Cardiovascular Medicine 200
- Health Information Management 22
- Pulmonary and Respiratory Medicine 54
- Cognitive Neuroscience 30
Countries citing papers authored by Conner Galloway
This map shows the geographic impact of Conner Galloway'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 Conner Galloway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conner Galloway more than expected).
Fields of papers citing papers by Conner Galloway
This network shows the impact of papers produced by Conner Galloway. 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 Conner Galloway. The network helps show where Conner Galloway may publish in the future.
Co-authors
The 25 scholars most cited alongside Conner Galloway, 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 | Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram Hit paper breakdown → | 2019 | 214 |
| 2 | 2021 | 76 | |
| 3 | 2018 | 14 | |
| 4 | 2021 | 12 | |
| 5 | 2019 | 6 | |
| 6 | 2024 | 4 | |
| 7 | 2019 | 3 | |
| 8 | 2023 | 0 | |
| 9 | 2019 | 0 |
About Conner Galloway
Conner Galloway is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, General Health Professions, Atomic and Molecular Physics, and Optics and Radiation, having authored 9 papers that have together received 329 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (2 papers), Potassium and Related Disorders (2 papers), ECG Monitoring and Analysis (2 papers), Laser-Matter Interactions and Applications (1 paper), Solid State Laser Technologies (1 paper), Nuclear Physics and Applications (1 paper), Mobile Health and mHealth Applications (1 paper) and Laser-Plasma Interactions and Diagnostics (1 paper). The work is most often cited by research in Health Informatics (38 citations), Cardiology and Cardiovascular Medicine (200 citations), Health Information Management (22 citations), Pulmonary and Respiratory Medicine (54 citations) and Cognitive Neuroscience (30 citations). Conner Galloway has collaborated with scholars based in United States, New Zealand and Spain. Frequent co-authors include Paul A. Friedman, D.J. Albert, Jacqueline Baras Shreibati, Zachi I. Attia, Rickey E. Carter, Peter A. Noseworthy, Michael J. Ackerman, Alexander Valys, John Dillon and Samuel J. Asirvatham. Their work appears in journals such as Journal of the American College of Cardiology, European Heart Journal, Circulation, JAMA Cardiology and Fusion Engineering and Design.
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.