Ben Van Calster

34.9k citations
279 papers · 16.1k indexed · 15 hit papers · h-index 60

Impact in

Papers in

Ben Van Calster

264 papers receiving 15.8k citations

Hit Papers

Evaluation of clinical prediction models (part 1): from development to external validation 2024 · 183 citations
18320142026201820222505007501000

Peers

Ben Van Calster
Comparison fields: 5 of 201
  • Health Informatics 838
  • Reproductive Medicine 3.7k
  • Obstetrics and Gynecology 3.3k
  • Health Information Management 730
  • Statistics, Probability and Uncertainty 576
Replace Penny Whiting with:
Penny Whiting United Kingdom
Yvonne Vergouwe Netherlands
Daniel L. Clarke‐Pearson United States
Richard D Riley United Kingdom
D. Timmerman Belgium
Karel G.M. Moons Netherlands
Les Irwig Australia
Marinus J.C. Eijkemans Netherlands
Lotty Hooft Netherlands
Petra Macaskill Australia
Ben Van Calster relative to Penny Whiting United Kingdom Penny Whiting's profile →
Citations per field
00.5×6.2×
Penny Whiting · 1×
Citations per year

Countries citing papers authored by Ben Van Calster

Since Specialization
Citations

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

Fields of papers citing papers by Ben Van Calster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Van Calster. 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 Ben Van Calster. The network helps show where Ben Van Calster may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20249
4 20249
5
There is no such thing as a validated prediction model
Hit paper breakdown →
2023117
6 20227
7 202139
8
Randomized Trial of Fetal Surgery for Severe Left Diaphragmatic Hernia
Hit paper breakdown →
2021205
9 20209
10 202035
11 202012
12 201916
13 201829
14 201737
15 20161
16 201668
17 2014253
18 201157
19 201130
20 200958

About Ben Van Calster

Ben Van Calster is a scholar working on Health Informatics, Obstetrics and Gynecology, Reproductive Medicine, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 279 papers that have together received 16.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (66 papers), Endometrial and Cervical Cancer Treatments (57 papers), Ectopic Pregnancy Diagnosis and Management (35 papers), Statistical Methods in Clinical Trials (27 papers), Endometriosis Research and Treatment (24 papers), Meta-analysis and systematic reviews (23 papers), Machine Learning in Healthcare (22 papers) and Intraperitoneal and Appendiceal Malignancies (21 papers). The work is most often cited by research in Health Informatics (838 citations), Reproductive Medicine (3.7k citations), Obstetrics and Gynecology (3.3k citations), Health Information Management (730 citations) and Statistics, Probability and Uncertainty (576 citations). Ben Van Calster has collaborated with scholars based in Belgium, United Kingdom and Netherlands. Frequent co-authors include Ewout W. Steyerberg, D. Timmerman, Andrew J. Vickers, Laure Wynants, T. Bourne, Sabine Van Huffel, Maarten van Smeden, Gary S. Collins, Jan Y. Verbakel and Evangelia Christodoulou. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Journal of Clinical Epidemiology, Human Reproduction, BMJ and BMJ Open.

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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