Ryan Butcher

13 papers receiving 280 citations

Ryan Butcher's Hit Papers

Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model 2018 · 174 citations
1740+2+5Years since publication50100150

Peers

Ryan Butcher
Comparison fields: 5 of 72
  • Occupational Therapy 106
  • Health Informatics 12
  • Rehabilitation 20
  • Internal Medicine 8
  • Endocrinology, Diabetes and Metabolism 38
Replace Mohammed S. Abusamaan with:
Mohammed S. Abusamaan United States
Fiona Reid Australia
Natapong Kosachunhanun Thailand
Anoop R. Galivanche United States
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Jonas D. Senft Germany
Laurence Baillet‐Blanco France
Francisco Pomares Spain
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Citations per year

Countries citing papers authored by Ryan Butcher

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Butcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryan Butcher, 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 Ryan Butcher Line = papers co-authored together Ryan Butcher links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model
Hit paper breakdown →
2018174
2 201733
3 201722
4 201819
5 201916
6 20186
7 20195
8
FURTHeR: An Infrastructure for Clinical, Translational and Comparative Effectiveness Research.
20134
9
Predicting Pressure Injuries Among Critical Care Patients: A Machine Learning Model
20181
10 20191
11 20211
12 20181
13 20181
14 20180
15 20240

About Ryan Butcher

Ryan Butcher is a scholar working on Occupational Therapy, Health, Toxicology and Mutagenesis, Sociology and Political Science, Epidemiology and Infectious Diseases, having authored 15 papers that have together received 284 indexed citations. Recurring topics across this work include Pressure Ulcer Prevention and Management (5 papers), Health, Environment, Cognitive Aging (4 papers), Delphi Technique in Research (3 papers), Viral gastroenteritis research and epidemiology (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Alcohol Consumption and Health Effects (1 paper), Data-Driven Disease Surveillance (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Occupational Therapy (106 citations), Health Informatics (12 citations), Rehabilitation (20 citations), Internal Medicine (8 citations) and Endocrinology, Diabetes and Metabolism (38 citations). Ryan Butcher has collaborated with scholars based in United States. Frequent co-authors include Jenny Alderden, Mollie Cummins, Ginette A. Pepper, JoAnne D. Whitney, Yeonjung Jo, Andrew Gordon Wilson, Yingying Zhang, Ramkiran Gouripeddi, Troy Richardson and Daniel Jackson. Their work appears in journals such as American Journal of Critical Care, Hospital Pediatrics, The American Journal of Gastroenterology, Critical Care Nurse and Journal of Wound Ostomy and Continence Nursing.

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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