William G. Baxt

5.5k citations
59 papers · 4.2k indexed · 1 hit paper · h-index 32

William G. Baxt

57 papers receiving 3.8k citations

Hit Papers

Application of artificial neural networks to clinical med...5131995202620052015100200300400500

Peers

William G. Baxt
Comparison fields: 5 of 175
  • Emergency Medicine 1.7k
  • Critical Care and Intensive Care Medicine 295
  • Health Informatics 73
  • Health Information Management 173
  • Cardiology and Cardiovascular Medicine 661
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William G. Baxt relative to Andrew A. Kramer United States Andrew A. Kramer's profile →
Citations per field
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Andrew A. Kramer · 1×
Citations per year

Countries citing papers authored by William G. Baxt

Since Specialization
Citations

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

Fields of papers citing papers by William G. Baxt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200990
2 2008109
3 2008220
4 200823
5 200751
6 200752
7 200765
8 2007223
9 200439
10 200278
11 200294
12 199891
13 1996155
14
Application of artificial neural networks to clinical medicinebreakdown →
1995513
15 199442
16 199034
17 1990123
18 199093
19 199016
20 198986

About William G. Baxt

William G. Baxt is a scholar working on Emergency Medicine, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 59 papers that have together received 4.2k indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (13 papers), Trauma and Emergency Care Studies (13 papers), Acute Myocardial Infarction Research (10 papers), Cardiac Imaging and Diagnostics (9 papers), Ultrasound in Clinical Applications (6 papers), ECG Monitoring and Analysis (6 papers), T-cell and Retrovirus Studies (5 papers) and Injury Epidemiology and Prevention (5 papers). The work is most often cited by research in Emergency Medicine (1.7k citations), Critical Care and Intensive Care Medicine (295 citations), Health Informatics (73 citations), Health Information Management (173 citations) and Cardiology and Cardiovascular Medicine (661 citations). William G. Baxt has collaborated with scholars based in United States and Canada. Frequent co-authors include Judd E. Hollander, Frances S. Shofer, S. Spiegelman, Jan Skóra, Jesse M. Pines, Frank D. Sites, Harold Litt, R. Hehlmann, Dale Fortlage and Keara L. Sease. Their work appears in journals such as Annals of Emergency Medicine, Academic Emergency Medicine, Proceedings of the National Academy of Sciences, Neural Computation and JAMA.

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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