Kevin Chu

3.4k citations
107 papers · 2.1k indexed · h-index 21

Kevin Chu

99 papers receiving 2.0k citations

Peers

Kevin Chu
Comparison fields: 5 of 142
  • Emergency Medicine 865
  • Immunology and Allergy 239
  • Family Practice 62
  • Critical Care and Intensive Care Medicine 135
  • Radiological and Ultrasound Technology 108
Replace Glenn Arendts with:
Glenn Arendts Australia
J. Sanchís Spain
Anna Holdgate Australia
Danielle Guffey United States
Young Sun Ro South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Kevin Chu

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20243
4 20243
5 20233
6 20235
7 20227
8 20224
9 20212
10 20215
11 20217
12 20212
13 201920
14 201911
15
Triaging older major trauma patients in the emergency department: An observational study
20152
16
Satisfaction with emergency department service among non-English-speaking background patients
20142
17
Automatic classification of free-text radiology reports to identify limb fractures using machine learning and the SNOMED CT ontology
201318
18
Is Language a Barrier for Quality Care in Hospitals?: A Case Series from an Emergency Department of a Teaching Hospital in Brisbane
20110
19 2006288
20 200115

About Kevin Chu

Kevin Chu is a scholar working on Emergency Medicine, Health Informatics, Critical Care and Intensive Care Medicine, Neurology and Internal Medicine, having authored 107 papers that have together received 2.1k indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (35 papers), Trauma and Emergency Care Studies (19 papers), Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Acute Myocardial Infarction Research (11 papers), Cardiac Arrest and Resuscitation (10 papers), Cardiac Imaging and Diagnostics (8 papers), Neurosurgical Procedures and Complications (7 papers) and Pediatric Pain Management Techniques (7 papers). The work is most often cited by research in Emergency Medicine (865 citations), Immunology and Allergy (239 citations), Family Practice (62 citations), Critical Care and Intensive Care Medicine (135 citations) and Radiological and Ultrasound Technology (108 citations). Kevin Chu has collaborated with scholars based in Australia, New Zealand and Singapore. Frequent co-authors include Anthony Brown, Jaimi Greenslade, David M. McKinnon, Robert A. Swor, Robert M. Domeier, Scott Compton, Iftikhar Khan, Julian Williams, Jeffrey Lipman and Louise Cullen. Their work appears in journals such as Emergency Medicine Australasia, Academic Emergency Medicine, Annals of Emergency Medicine, Emergency Medicine Journal and Prehospital Emergency Care.

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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