John T. Rivers

512 citations
14 papers · 390 indexed · h-index 8

Impact in

    • Acute Myocardial Infarction Research
    • Cardiovascular Function and Risk Factors
    • Atrial Fibrillation Management and Outcomes
    • Cardiac electrophysiology and arrhythmias
    • Cardiac Valve Diseases and Treatments
  • Microbiology top 10%

Papers in

John T. Rivers

14 papers receiving 367 citations

Peers

John T. Rivers
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 294
  • Microbiology 8
  • Internal Medicine 32
  • Radiology, Nuclear Medicine and Imaging 172
  • Surgery 107
Replace T. Robertson with:
T. Robertson United States
Elena Corrada Italy
Lidija Savić Serbia
J. Federman Australia
Simona Zorman Slovenia
JG Tijssen Netherlands
Gerald Lorch United States
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Scott Jerome United States
Maciej Karcz Poland
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Citations per field
00.5×2.7×
T. Robertson · 1×
Citations per year

Countries citing papers authored by John T. Rivers

Since Specialization
Citations

This map shows the geographic impact of John T. Rivers'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 John T. Rivers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Rivers more than expected).

Fields of papers citing papers by John T. Rivers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Rivers. 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 John T. Rivers. The network helps show where John T. Rivers may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 20157
2 201314
3 20122
4 20129
5 20127
6 20115
7 200916
8 200811
9 19923
10 199111
11 199066
12 19901
13 1989137
14 1988101

About John T. Rivers

John T. Rivers is a scholar working on Microbiology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Statistics, Probability and Uncertainty and Emergency Medical Services, having authored 14 papers that have together received 390 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (6 papers), Cardiac Imaging and Diagnostics (5 papers), Radiology practices and education (4 papers), Acute Myocardial Infarction Research (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Coronary Interventions and Diagnostics (2 papers), Healthcare Operations and Scheduling Optimization (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (294 citations), Microbiology (8 citations), Internal Medicine (32 citations), Radiology, Nuclear Medicine and Imaging (172 citations) and Surgery (107 citations). John T. Rivers has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include R M Norris, Morimasa Takayama, Harvey D. White, Matthew A. Brown, Lois C. Armiger, I. Smith, R. M. L. Whitlock, Hamish Hart, D. N. Sharpe and John A. Ormiston. Their work appears in journals such as Coronary Artery Disease, EP Europace, New England Journal of Medicine, Journal of the American College of Cardiology and International Journal for Quality in Health 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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