Angier Allen

About

Angier Allen is a scholar working on Artificial Intelligence, Epidemiology and Surgery. According to data from OpenAlex, Angier Allen has authored 11 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Angier Allen’s work include Sepsis Diagnosis and Treatment (4 papers), Machine Learning in Healthcare (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). Angier Allen is often cited by papers focused on Sepsis Diagnosis and Treatment (4 papers), Machine Learning in Healthcare (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). Angier Allen collaborates with scholars based in United States, United Kingdom and Canada. Angier Allen's co-authors include Ritankar Das, Jana Hoffman, Emily Pellegrini, Jacob Calvert, Abigail Green‐Saxena, Christopher Barton, Sidney Le, W H Perks, P.M. Horrocks and R. Cooper and has published in prestigious journals such as Applied Sciences, Journal of Forensic Sciences and Frontiers in Pediatrics.

In The Last Decade

Co-authorship network of co-authors of Angier Allen i

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Fields of papers citing papers by Angier Allen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Angier Allen

Since Specialization

Citations

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).

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.

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