Pieter Vandervoort

1.2k citations
46 papers · 885 · h-index 16

Impact in

Papers in

Pieter Vandervoort

45 papers receiving 867 citations

Peers

Pieter Vandervoort
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 536
  • Health Informatics 19
  • Rehabilitation 44
  • Hematology 48
  • Health Information Management 20
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Ahmet İlker Tekkeşin Türkiye
Nicole Lowres Australia
Bálint Károly Lakatos Hungary
Yasbanoo Moayedi Canada
A. Koshy Australia
Nobuyuki Kagiyama Japan
Cameron T. Lambert United States
Riet Dierckx Belgium
Nirav Raval United States
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Pieter Vandervoort relative to Ahmet İlker Tekkeşin Türkiye Ahmet İlker Tekkeşin's profile →
Citations per field
00.5×6.9×
Ahmet İlker Tekkeşin · 1×
Citations per year

Countries citing papers authored by Pieter Vandervoort

Since Specialization
Citations

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

Fields of papers citing papers by Pieter Vandervoort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015137
2 2015105
3 201574
4 202169
5 199651
6 202043
7 201741
8 201341
9 201326
10 202021
11 202120
12 201920
13 201520
14 201519
15 201617
16 202316
17 201514
18 202013
19 201913
20 201612

About Pieter Vandervoort

Pieter Vandervoort is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery and Epidemiology, having authored 46 papers that have together received 885 indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (7 papers), Cardiac Valve Diseases and Treatments (7 papers), Atrial Fibrillation Management and Outcomes (7 papers), Non-Invasive Vital Sign Monitoring (5 papers), Hemodynamic Monitoring and Therapy (4 papers), Cardiac Imaging and Diagnostics (4 papers), Acute Myocardial Infarction Research (3 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (536 citations), Health Informatics (19 citations), Rehabilitation (44 citations), Hematology (48 citations) and Health Information Management (20 citations). Pieter Vandervoort has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Paul Dendale, Ines Frederix, Emeline M. Van Craenenbroeck, Karin Coninx, Dominique Hansen, Niels Van Driessche, Dominique Vandijck, Wilfried Müllens, Philippe B. Bertrand and C. J. P. P. Smeets. Their work appears in journals such as European Heart Journal, Journal of Medical Internet Research, Sensors, Journal of Thoracic and Cardiovascular Surgery and Journal of the American College of Cardiology.

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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