Angier Allen
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 4
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- Machine Learning in Healthcare 3
- Co-authors
- Ritankar Das (7 shared papers)Jana Hoffman (5 shared papers)Emily Pellegrini (6 shared papers)Jacob Calvert (4 shared papers)Abigail Green‐Saxena (5 shared papers)Christopher Barton (3 shared papers)Sidney Le (3 shared papers)Qingqing Mao (2 shared papers)
- Journals
- BMJ Open Diabetes Research & Care (1 paper)Frontiers in Pediatrics (1 paper)Applied Sciences (1 paper)Kidney International Reports (1 paper)Journal of Forensic Sciences (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Angier Allen
12 papers receiving 427 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 49
- Health Information Management 61
- Nephrology 46
- Family Practice 13
- Endocrine and Autonomic Systems 36
Countries citing papers authored by Angier Allen
This map shows the geographic impact of Angier Allen'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 Angier Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angier Allen more than expected).
Fields of papers citing papers by Angier Allen
This network shows the impact of papers produced by Angier Allen. 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 Angier Allen. The network helps show where Angier Allen may publish in the future.
Co-authors
The 25 scholars most cited alongside Angier Allen, 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 | 1980 | 99 | |
| 2 | 2019 | 83 | |
| 3 | 2022 | 50 | |
| 4 | 2020 | 48 | |
| 5 | 2021 | 43 | |
| 6 | 2021 | 40 | |
| 7 | 2020 | 35 | |
| 8 | 1991 | 18 | |
| 9 | 2019 | 15 | |
| 10 | Recent trends in fetal and infant outcomes following post-term pregnancies. | 2001 | 14 |
| 11 | 2023 | 2 | |
| 12 | 2024 | 1 |
About Angier Allen
Angier Allen is a scholar working on Epidemiology, Artificial Intelligence, Surgery, Nephrology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 448 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (4 papers), Machine Learning in Healthcare (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Obstructive Sleep Apnea Research (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 (49 citations), Health Information Management (61 citations), Nephrology (46 citations), Family Practice (13 citations) and Endocrine and Autonomic Systems (36 citations). Angier Allen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Ritankar Das, Jana Hoffman, Emily Pellegrini, Jacob Calvert, Abigail Green‐Saxena, Christopher Barton, Sidney Le, Qingqing Mao, W H Perks and K Prowse. Their work appears in journals such as BMJ Open Diabetes Research & Care, Frontiers in Pediatrics, Applied Sciences, Kidney International Reports and Journal of Forensic Sciences.
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.