Casper Eurlings

681 citations
14 papers · 551 · h-index 7

Impact in

Papers in

Casper Eurlings

13 papers receiving 537 citations

Peers

Casper Eurlings
Comparison fields: 5 of 83
  • Health Informatics 58
  • Cardiology and Cardiovascular Medicine 219
  • Cancer Research 106
  • Aging 11
  • Health Information Management 38
Replace Harry Klimis with:
Harry Klimis Australia
Yong Cheng China
Yee Ming Lee United States
Massimo Magnanti Italy
Marzieh Vali United States
Kiley J. Johnson United States
Argyro Repa Greece
Pingping Jia China
Allison Bourne Australia
Dinesh Pal Mudaranthakam United States
Casper Eurlings relative to Harry Klimis Australia Harry Klimis's profile →
Citations per field
00.5×2×4×6×8×9.6×
Harry Klimis · 1×
Citations per year

Countries citing papers authored by Casper Eurlings

Since Specialization
Citations

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

Fields of papers citing papers by Casper Eurlings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2011224
2 2019150
3 201955
4 201832
5 202031
6 202321
7 202118
8 20227
9 20205
10 20113
11 20212
12 20222
13 20231
14 20260

About Casper Eurlings

Casper Eurlings is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions, Demography, Public Health, Environmental and Occupational Health and Health Informatics, having authored 14 papers that have together received 551 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (4 papers), Telemedicine and Telehealth Implementation (3 papers), Mobile Health and mHealth Applications (3 papers), Viral Infections and Immunology Research (2 papers), Technology Use by Older Adults (2 papers), Cardiovascular Function and Risk Factors (2 papers), Artificial Intelligence in Healthcare (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (58 citations), Cardiology and Cardiovascular Medicine (219 citations), Cancer Research (106 citations), Aging (11 citations) and Health Information Management (38 citations). Casper Eurlings has collaborated with scholars based in Netherlands, Belgium and Germany. Frequent co-authors include Stephane R B Heymans, Jack P.M. Cleutjens, Melissa Swinnen, Geert C. van Almen, Rick E.W. van Leeuwen, Marc A. M. J. van Zandvoort, Mark W.M. Schellings, Wouter Verhesen, Blanche L. M. Schroen and Hans‐Peter Brunner‐La Rocca. Their work appears in journals such as BMJ Open, European Journal of Public Health, Journal of the American Society of Echocardiography, The EPMA Journal and BMC Geriatrics.

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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