Geert Verbeke

24.2k total citations · 7 hit papers
312 papers, 14.2k citations indexed

About

Geert Verbeke is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Geert Verbeke has authored 312 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Statistics and Probability, 37 papers in Artificial Intelligence and 26 papers in Management Science and Operations Research. Recurrent topics in Geert Verbeke's work include Statistical Methods and Bayesian Inference (128 papers), Statistical Methods and Inference (62 papers) and Statistical Methods in Clinical Trials (43 papers). Geert Verbeke is often cited by papers focused on Statistical Methods and Bayesian Inference (128 papers), Statistical Methods and Inference (62 papers) and Statistical Methods in Clinical Trials (43 papers). Geert Verbeke collaborates with scholars based in Belgium, United States and United Kingdom. Geert Verbeke's co-authors include Geert Molenberghs, Emmanuel Lesaffre, Steffen Fieuws, Russell V. Lenth, Dimitris Rizopoulos, Michael G. Kenward, R. Geers, M. G. Kenward, Marie Davidian and Herbert Thijs and has published in prestigious journals such as Chemical Reviews, The Lancet and Nature Medicine.

In The Last Decade

Geert Verbeke

292 papers receiving 13.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Linear Mixed Models for Longitudinal Data

2000 2.0k citations Geert Molenberghs, Geert Verbeke profile →
Models for Discrete Longitudinal Data

2005 774 citations Geert Molenberghs, Geert Verbeke profile →
Linear Mixed Models for Longitudinal Data

2000 730 citations Geert Verbeke, Geert Molenberghs profile →
Chromosome instability is common in human cleavage-stage embryos

2009 601 citations Geert Verbeke et al. profile →
The global burden of listeriosis: a systematic review and meta-analysis

2014 470 citations Geert Verbeke et al. profile →
Incidence, prevalence, and co-occurrence of autoimmune disorders over time and by age, sex, and socioeconomic status: a population-based cohort study of 22 million individuals in the UK

2023 381 citations Nathalie Conrad, Shivani Misra et al. profile →
Autoimmune diseases and cardiovascular risk: a population-based study on 19 autoimmune diseases and 12 cardiovascular diseases in 22 million individuals in the UK

2022 222 citations Nathalie Conrad, Geert Verbeke et al. profile →

Peers

Countries citing papers authored by Geert Verbeke

Since Specialization

Citations

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

Fields of papers citing papers by Geert Verbeke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geert Verbeke

This figure shows the co-authorship network connecting the top 25 collaborators of Geert Verbeke. A scholar is included among the top collaborators of Geert Verbeke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geert Verbeke. Geert Verbeke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Trends in cardiovascular disease incidence among 22 million people in the UK over 20 years: population based study 2024 ·BMJ ·Nathalie Conrad, Geert Molenberghs, Geert Verbeke, Francesco Zaccardi, Claire Lawson, (unknown), (unknown), Pardeep S. Jhund, (unknown), Kazem Rahimi, (unknown), Kamlesh Khunti, (unknown), John J.V. McMurray	32
2	An observational cohort study examined the change point of kidney function stabilization in the initial period after transplantation 2024 ·Kidney International ·(unknown), Maarten Coemans, Soufian Meziyerh, (unknown), Marie‐Paule Emonds, (unknown), Jesper Kers, Dirk Kuypers, Irina Scheffner, Aleksandar Senev, Elisabet Van Loon, (unknown), Aiko P. J. de Vries, Geert Verbeke, Maarten Naesens	0
3	Evaluating the direct effect of vaccination and non-pharmaceutical interventions during the COVID-19 pandemic in Europe 2024 ·SHILAP Revista de lepidopterología ·(unknown), Geert Molenberghs, Johan Verbeeck, Lander Willem, (unknown), Christel Faes, Niel Hens, Patrick Deboosere, Geert Verbeke, Thomas Neyens	1
4	A multivariate spatio-temporal model for the incidence of imported COVID-19 cases and COVID-19 deaths in Cuba 2023 ·Spatial and Spatio-temporal Epidemiology ·(unknown), Ariel Alonso, Geert Molenberghs, Geert Verbeke, Lizet Sánchez, (unknown), Thomas Neyens	0
5	OP0007 INCIDENCE, PREVALENCE AND CO-OCCURRENCE OF AUTOIMMUNE DISORDERS, TRENDS OVER TIME AND BY AGE, SEX AND SOCIOECONOMIC STATUS. A POPULATION-BASED STUDY IN 22 MILLION INDIVIDUALS. 2023 ·Annals of the Rheumatic Diseases ·Nathalie Conrad, Shivani Misra, Jan Y. Verbakel, Geert Verbeke, Geert Molenberghs, Peter Taylor, Justin C. Mason, Naveed Sattar, John J.V. McMurray, Iain B. McInnes, Kamlesh Khunti, Geraldine Cambridge	3
6	A longitudinal transition imputation model for categorical data applied to a large registry dataset 2023 ·Statistics in Medicine ·Pavlos Mamouris, Vahid Nassiri, Geert Verbeke, (unknown), Bert Vaes, Geert Molenberghs	3
7	A longitudinal perspective on perceived vulnerability to disease during the COVID-19 pandemic in Belgium 2023 ·Health Promotion International ·(unknown), David De Coninck, Leen d’Haenens, (unknown), Geert Verbeke, Geert Molenberghs, Koen Matthijs	2
8	Bias by censoring for competing events in survival analysis 2022 ·BMJ ·Maarten Coemans, Geert Verbeke, Bernd Döhler, Caner Süsal, Maarten Naesens	46
9	A linear mixed model to estimate COVID‐19‐induced excess mortality 2021 ·Biometrics ·Johan Verbeeck, Christel Faes, Thomas Neyens, Niel Hens, Geert Verbeke, Patrick Deboosere, Geert Molenberghs	10
10	Prophylactic ureteral catheterization in the intraoperative diagnosis of iatrogenic ureteral injury 2020 ·Acta Chirurgica Belgica ·(unknown), (unknown), Christel Meuleman, Geert Verbeke, Steven Joniau, Frank Van der Aa	8
11	Predicting the chance on live birth per cycle at each step of the IVF journey: external validation and update of the van Loendersloot multivariable prognostic model 2020 ·BMJ Open ·(unknown), Karen Peeraer, Geert Verbeke, Carl Spiessens, Joris Vriens, Eline Dancet	6
12	Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors 2019 ·Communications in Statistics - Simulation and Computation ·(unknown), Emmanuel Lesaffre, Geert Verbeke, (unknown)	14
13	Iterative Multiple Imputation: A Framework to Determine the Number of Imputed Datasets 2018 ·The American Statistician ·Vahid Nassiri, Geert Molenberghs, Geert Verbeke, João Barbosa‐Breda	16
14	Evaluation of a very short test to measure the Big Five personality factors on a Flemish sample 2017 ·Lirias (KU Leuven) ·Anikó Lovik, Geert Verbeke, Geert Molenberghs	8
15	Hierarchical models with normal and conjugate random effects: a review (invited article) 2017 ·Geert Molenberghs, Geert Verbeke, Clarice Garcia Borges Demétrio	2
16	Hierarchical models with normal and conjugate random effects : a review 2017 ·LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) ·Geert Molenberghs, Geert Verbeke, Clarice Garcia Borges Demétrio	3
17	Multi-model inference using mixed effects from a linear regression based genetic algorithm 2014 ·BMC Bioinformatics ·Koen Van der Borght, Geert Verbeke, Herman van Vlijmen	4
18	Estimation of the wild‐type minimum inhibitory concentration value distribution 2013 ·Statistics in Medicine ·(unknown), Marc Aerts, Geert Verbeke, Pierre‐Alexandre Belœil	12
19	Modeling overdispersed longitudinal binary data from the Jimma longitudinal studies using a combined beta and normal random-effects model 2012 ·Lirias (KU Leuven) ·Wondwosen Kassahun, Thomas Neyens, Geert Molenberghs, Christel Faes, Geert Verbeke	2
20	Shared-parameter models and missingness at random 2009 ·Document Server@UHasselt (UHasselt) ·(unknown), Niel Hens, Marc Aerts, Geert Molenberghs, Geert Verbeke, Michael G. Kenward	2

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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