Gerko Vink

1.1k citations
26 papers · 585 · h-index 11

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 12
    • Statistical Methods and Inference 10
    • Statistical Methods in Clinical Trials 5
    • Advanced Causal Inference Techniques 2
    • Recreation, Leisure, Wilderness Management 2

Gerko Vink

23 papers receiving 572 citations

Peers

Gerko Vink
Comparison fields: 5 of 131
  • Health Informatics 19
  • Statistics and Probability 109
  • Issues, ethics and legal aspects 14
  • Statistics, Probability and Uncertainty 56
  • Safety Research 64
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Julian Hirt Germany
Christina St‐Onge Canada
Yalini Senathirajah United States
Sonja D. Winter United States
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Citations per field
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Citations per year

Countries citing papers authored by Gerko Vink

Since Specialization
Citations

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

Fields of papers citing papers by Gerko Vink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022114
2 2014113
3 201873
4 202143
5 201540
6 201333
7 201731
8 201628
9 201420
10 201319
11 201314
12 202010
13 201810
14
Partioned predictive mean matching as a large data multilevel imputation technique.
20158
15 20228
16 20237
17 20215
18 20232
19 20222
20 20172

About Gerko Vink

Gerko Vink is a scholar working on Statistics and Probability, Social Psychology, Clinical Psychology, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 585 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (12 papers), Statistical Methods and Inference (10 papers), Statistical Methods in Clinical Trials (5 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Health Promotion and Cardiovascular Prevention (2 papers), Recreation, Leisure, Wilderness Management (2 papers), Advanced Causal Inference Techniques (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Health Informatics (19 citations), Statistics and Probability (109 citations), Issues, ethics and legal aspects (14 citations), Statistics, Probability and Uncertainty (56 citations) and Safety Research (64 citations). Gerko Vink has collaborated with scholars based in Netherlands and South Africa. Frequent co-authors include Stef van Buuren, Laurence E. Frank, Jeroen Pannekoek, Peter Lugtig, Gowri Gopalakrishna, Ineke Stoop, Jelte M. Wicherts, Gerben ter Riet, L.M. Bouter and Rens van de Schoot. Their work appears in journals such as Scientific Reports, Sociological Methods & Research, Primary Care Respiratory Journal, PLoS ONE and Cephalalgia.

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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