Alistair Connell
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Sepsis Diagnosis and Treatment 2
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- Acute Kidney Injury Research 2
- Chronic Kidney Disease and Diabetes 1
- Co-authors
- Cían Hughes (3 shared papers)Joseph Ahn (1 shared paper)Vijay H. Shah (1 shared paper)Douglas A. Simonetto (1 shared paper)Chris Laing (2 shared papers)Kurt D. Marshall (1 shared paper)Dan Gordon (1 shared paper)Gareth Jones (2 shared papers)
- Journals
- Journal of the American Medical Informatics Association (1 paper)The Clinical Teacher (1 paper)npj Digital Medicine (1 paper)Journal of Medical Internet Research (1 paper)Circulation (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Alistair Connell
9 papers receiving 199 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 30
- Health Information Management 37
- Hepatology 48
- Nephrology 22
- Epidemiology 76
Countries citing papers authored by Alistair Connell
This map shows the geographic impact of Alistair Connell'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 Alistair Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alistair Connell more than expected).
Fields of papers citing papers by Alistair Connell
This network shows the impact of papers produced by Alistair Connell. 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 Alistair Connell. The network helps show where Alistair Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Alistair Connell, 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 | 2020 | 118 | |
| 2 | 2019 | 27 | |
| 3 | 2019 | 23 | |
| 4 | 2010 | 14 | |
| 5 | 2021 | 10 | |
| 6 | 2015 | 9 | |
| 7 | 2016 | 3 | |
| 8 | Abstract 16398: Prognostic Utility of the Hemoglobin/Hematocrit Equation for Estimating Plasma Volume Changes Over Time in Chronic Heart Failure | 2011 | 1 |
| 9 | 2013 | 1 |
About Alistair Connell
Alistair Connell is a scholar working on Epidemiology, Nephrology, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 206 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (2 papers), Cardiovascular and exercise physiology (2 papers), Sepsis Diagnosis and Treatment (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Clinical practice guidelines implementation (1 paper), COVID-19 diagnosis using AI (1 paper), Artificial Intelligence in Healthcare (1 paper) and Pituitary Gland Disorders and Treatments (1 paper). The work is most often cited by research in Health Informatics (30 citations), Health Information Management (37 citations), Hepatology (48 citations), Nephrology (22 citations) and Epidemiology (76 citations). Alistair Connell has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Cían Hughes, Joseph Ahn, Vijay H. Shah, Douglas A. Simonetto, Chris Laing, Kurt D. Marshall, Dan Gordon, Gareth Jones, Peter Martin and Hugh Montgomery. Their work appears in journals such as Journal of the American Medical Informatics Association, The Clinical Teacher, npj Digital Medicine, Journal of Medical Internet Research and Circulation.
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.