William Feaster

981 citations
44 papers · 633 · h-index 15

Impact in

Papers in

William Feaster

37 papers receiving 605 citations

Peers

William Feaster
Comparison fields: 5 of 93
  • Anesthesiology and Pain Medicine 48
  • Health Information Management 39
  • Health Informatics 10
  • Emergency Medicine 50
  • Developmental Neuroscience 22
Replace Karl A. Poterack with:
Karl A. Poterack United States
Alexander Kaserer Switzerland
Joseph Frassica United States
Mikhail Dziadzko France
Wenying Zhang United States
Dieter Beck Germany
Hee Yoon South Korea
Ming-Cheng Chan Taiwan
Jeffrey E. Thompson United States
Robert J. Bosman Netherlands
William Feaster relative to Karl A. Poterack United States Karl A. Poterack's profile →
Citations per field
00.5×3.6×
Karl A. Poterack · 1×
Citations per year

Countries citing papers authored by William Feaster

Since Specialization
Citations

This map shows the geographic impact of William Feaster'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 William Feaster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Feaster more than expected).

Fields of papers citing papers by William Feaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Feaster. 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 William Feaster. The network helps show where William Feaster may publish in the future.

Co-authors

The 25 scholars most cited alongside William Feaster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Feaster Line = papers co-authored together William Feaster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199397
2 201257
3 202056
4 202153
5 202236
6 200933
7 201827
8 201827
9 202019
10 202118
11 202116
12 202215
13 202014
14 202214
15 198614
16 202013
17 202012
18 199912
19 202111
20 201710

About William Feaster

William Feaster is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine, Pediatrics, Perinatology and Child Health, Artificial Intelligence and Surgery, having authored 44 papers that have together received 633 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (5 papers), Machine Learning in Healthcare (4 papers), Trauma and Emergency Care Studies (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), COVID-19 diagnosis using AI (3 papers), Pediatric Pain Management Techniques (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (48 citations), Health Information Management (39 citations), Health Informatics (10 citations), Emergency Medicine (50 citations) and Developmental Neuroscience (22 citations). William Feaster has collaborated with scholars based in United States, Ireland and China. Frequent co-authors include Louis Ehwerhemuepha, Anthony Chang, Sharief Taraman, Cyril Rakovski, Jesse M. Ehrenfeld, Bassam Kadry, Alex Macario, Caroline Steele, Antonio Arrieta and Zeev N. Kain. Their work appears in journals such as Hospital Pediatrics, The American Journal of Emergency Medicine, Scientific Reports, Intelligence-Based Medicine and Journal of Surgical Research.

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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