Tom Hendriks

518 citations
21 papers · 374 · h-index 13

Impact in

Papers in

    • Cardiovascular Function and Risk Factors 4
    • Acute Myocardial Infarction Research 4
    • Cardiac Valve Diseases and Treatments 3
    • Cardiovascular Effects of Exercise 1
    • Blood Pressure and Hypertension Studies 1
    • Artificial Intelligence in Healthcare and Education 2

Tom Hendriks

19 papers receiving 365 citations

Peers

Tom Hendriks
Comparison fields: 5 of 47
  • Health Informatics 34
  • Cardiology and Cardiovascular Medicine 164
  • Health Information Management 22
  • Epidemiology 42
  • Radiology, Nuclear Medicine and Imaging 27
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Alexandra Fábián Hungary
Yuichiro Kado United States
Shujuan Yang China
Luís Brás Rosário Portugal
Shuang Leng Singapore
Niklas Hitschrich United States
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Citations per field
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Citations per year

Countries citing papers authored by Tom Hendriks

Since Specialization
Citations

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

Fields of papers citing papers by Tom Hendriks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 200749
3 201730
4 200724
5 201924
6 201823
7 201822
8 201721
9 202321
10 202419
11 202016
12 201615
13 201814
14 202013
15 202311
16 20175
17 20184
18 20194
19 20161
20 20211

About Tom Hendriks

Tom Hendriks is a scholar working on Cardiology and Cardiovascular Medicine, Health Informatics, Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology, having authored 21 papers that have together received 374 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Acute Myocardial Infarction Research (4 papers), Cardiac Valve Diseases and Treatments (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Genetic Associations and Epidemiology (2 papers), Cardiac Imaging and Diagnostics (2 papers), Cardiovascular Effects of Exercise (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Health Informatics (34 citations), Cardiology and Cardiovascular Medicine (164 citations), Health Information Management (22 citations), Epidemiology (42 citations) and Radiology, Nuclear Medicine and Imaging (27 citations). Tom Hendriks has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Pim van der Harst, Jan Walter Benjamins, Juhani M. Knuuti, Luis Eduardo Juárez‐Orozco, Dirk Jan van Veldhuisen, Erik Lipšic, Remco A. J. Schurer, M. Yldau van der Ende, Hilde E. Groot and Wim C.J. Hop. Their work appears in journals such as Scientific Reports, Journal of the American Heart Association, Journal of the American College of Cardiology, Circulation Cardiovascular Interventions and Heart Failure Reviews.

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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