Geert Molenberghs

35.5k total citations · 6 hit papers
682 papers, 24.1k citations indexed

About

Geert Molenberghs is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Geert Molenberghs has authored 682 papers receiving a total of 24.1k indexed citations (citations by other indexed papers that have themselves been cited), including 390 papers in Statistics and Probability, 82 papers in Management Science and Operations Research and 78 papers in Artificial Intelligence. Recurrent topics in Geert Molenberghs's work include Statistical Methods and Bayesian Inference (279 papers), Statistical Methods in Clinical Trials (186 papers) and Statistical Methods and Inference (134 papers). Geert Molenberghs is often cited by papers focused on Statistical Methods and Bayesian Inference (279 papers), Statistical Methods in Clinical Trials (186 papers) and Statistical Methods and Inference (134 papers). Geert Molenberghs collaborates with scholars based in Belgium, United States and Netherlands. Geert Molenberghs's co-authors include Geert Verbeke, Michael G. Kenward, Marc Buyse, Helena Geys, Tomasz Burzykowski, Ariel Alonso, Marc Aerts, Didier Renard, Joseph G. Ibrahim and Stuart R. Lipsitz and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Nature Communications.

In The Last Decade

Geert Molenberghs

658 papers receiving 23.1k citations

Hit Papers

Linear Mixed Models for Longitudinal Data 2000 2026 2008 2017 2000 2012 2005 2000 2023 500 1000 1.5k
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.

  1. Linear Mixed Models for Longitudinal Data
    2000 2.0k citations Geert Molenberghs, Geert Verbeke profile →
  2. The Prevention and Treatment of Missing Data in Clinical Trials
    2012 1.2k citations Geert Molenberghs et al. profile →
  3. Models for Discrete Longitudinal Data
    2005 774 citations Geert Molenberghs, Geert Verbeke profile →
  4. Linear Mixed Models for Longitudinal Data
    2000 730 citations Geert Verbeke, Geert Molenberghs profile →
  5. 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 Geert Verbeke, Geert Molenberghs et al. profile →
  6. 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 Geert Verbeke, Geert Molenberghs et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geert Molenberghs Belgium 71 8.8k 2.6k 2.0k 1.8k 1.4k 682 24.1k
Per Kragh Andersen Denmark 79 6.3k 0.7× 3.2k 1.3× 1.2k 0.6× 3.5k 2.0× 2.7k 1.9× 387 26.8k
Kung‐Yee Liang United States 40 5.5k 0.6× 2.1k 0.8× 1.3k 0.7× 1.9k 1.1× 870 0.6× 80 25.1k
Alan Agresti United States 61 6.9k 0.8× 2.1k 0.8× 2.8k 1.4× 1.7k 0.9× 2.0k 1.4× 164 28.3k
Michael G. Kenward United Kingdom 55 4.5k 0.5× 1.4k 0.5× 929 0.5× 1.5k 0.9× 1.0k 0.7× 167 21.6k
John D. Kalbfleisch United States 51 8.3k 0.9× 2.6k 1.0× 2.0k 1.0× 4.5k 2.6× 1.2k 0.8× 143 24.1k
Margaret S. Pepe United States 57 4.9k 0.6× 1.2k 0.5× 1.7k 0.9× 2.0k 1.1× 894 0.6× 155 20.2k
Thomas A. Louis United States 57 4.0k 0.5× 1.7k 0.7× 1.4k 0.7× 1.1k 0.6× 835 0.6× 242 15.2k
Peter J. Diggle United Kingdom 83 4.4k 0.5× 3.6k 1.4× 2.4k 1.2× 3.1k 1.8× 707 0.5× 447 27.3k
David Clayton United Kingdom 73 4.6k 0.5× 2.1k 0.8× 1.3k 0.7× 2.3k 1.3× 901 0.6× 214 28.1k
Joseph L. Schafer United States 29 6.6k 0.7× 2.0k 0.8× 2.3k 1.2× 2.1k 1.2× 1.5k 1.1× 48 29.5k

Countries citing papers authored by Geert Molenberghs

Since Specialization
Citations

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

Fields of papers citing papers by Geert Molenberghs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geert Molenberghs

This figure shows the co-authorship network connecting the top 25 collaborators of Geert Molenberghs. A scholar is included among the top collaborators of Geert Molenberghs 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 Molenberghs. Geert Molenberghs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Caetano, Constantino, Pietro Coletti, Christel Faes, et al.. (2025). Assessing the role of children in the COVID-19 pandemic in Belgium using perturbation analysis. Nature Communications. 16(1). 2230–2230.
2.
Molenberghs, Geert, Nathalie Goemans, Liesbeth De Waele, et al.. (2025). Longitudinal trajectories of muscle impairments in growing boys with Duchenne muscular dystrophy. PLoS ONE. 20(3). e0307007–e0307007. 1 indexed citations
3.
Buyse, Marc, et al.. (2025). Handbook of Generalized Pairwise Comparisons. Document Server@UHasselt (UHasselt).
4.
Molenberghs, Geert, et al.. (2024). Evaluating time-to-event surrogates for time-to-event true endpoints: an information-theoretic approach based on causal inference. Lifetime Data Analysis. 31(1). 1–23. 1 indexed citations
5.
Betrains, Albrecht, Geert Molenberghs, Koen Van Laere, et al.. (2024). Prevalence, characteristics, and outcome of subclinical vasculitis in polymyalgia rheumatica: a retrospective cohort study. Lara D. Veeken. 63(12). 3331–3336. 8 indexed citations
6.
Hens, Niel, et al.. (2023). Spatio-temporal model to investigate COVID-19 spread accounting for the mobility amongst municipalities. Spatial and Spatio-temporal Epidemiology. 45. 100568–100568. 5 indexed citations
7.
Alonso, Ariel, et al.. (2023). A multivariate spatio-temporal model for the incidence of imported COVID-19 cases and COVID-19 deaths in Cuba. Spatial and Spatio-temporal Epidemiology. 45. 100588–100588.
8.
Betrains, Albrecht, et al.. (2023). Diagnostic yield of combined cranial and large vessel PET/CT, ultrasound and MRI in giant cell arteritis: A systematic review and meta-analysis. Autoimmunity Reviews. 22(7). 103355–103355. 24 indexed citations
9.
Verbeeck, Johan, Christel Faes, Thomas Neyens, et al.. (2021). A linear mixed model to estimate COVID‐19‐induced excess mortality. Biometrics. 79(1). 417–425. 10 indexed citations
10.
Oyen, Herman Van, Renata T C Yokota, Rana Charafeddine, et al.. (2019). Potential impact of reduced tobacco use on life and health expectancies in Belgium. International Journal of Public Health. 65(2). 129–138. 4 indexed citations
11.
Yokota, Renata T C, et al.. (2017). Multinomial additive hazard model to assess the disability burden using cross‐sectional data. Biometrical Journal. 59(5). 901–917. 8 indexed citations
12.
Kerkhof, A.J.F.M., et al.. (2013). Attitudes and stigma in relation to help-seeking intentions for psychological problems in low and high suicide rate regions. Social Psychiatry and Psychiatric Epidemiology. 49(2). 231–239. 123 indexed citations
13.
Hens, Niel, et al.. (2009). Shared-parameter models and missingness at random. Document Server@UHasselt (UHasselt). 2 indexed citations
14.
Hens, Niel, Andreas Wienke, Marc Aerts, & Geert Molenberghs. (2009). The correlated and shared gamma frailty model for bivariate current status data: An illustration for cross‐sectional serological data. Statistics in Medicine. 28(22). 2785–2800. 25 indexed citations
15.
Molenberghs, Geert. (2005). Discussion of Davidian,M.,Tsiatis,A.A.,and Leon,S.:Semiparametric estimation of treatment effect in a pretest-posttest study with missing data. Statistical Science. 3. 289–292. 10 indexed citations
16.
Goetghebeur, Els, Geert Molenberghs, & Michael G. Kenward. (2004). Sense and sensitivity when intended data are missing. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
17.
Ketelaere, Bart De, Jeroen Lammertyn, Geert Molenberghs, Bart Nicolaı̈, & Josse De Baerdemaeker. (2003). Statistical models for analyzing repeated quality measurements of horticultural products.. Mathematical Biosciences. 185(2). 169–189. 14 indexed citations
18.
Hens, Niel, Liesbeth Bruckers, M. Arbyn, Marc Aerts, & Geert Molenberghs. (2002). Classification trees and its application to cervix cancer screening in the Belgian Health Interview Survey. Lirias (KU Leuven). 1 indexed citations
19.
Burzykowski, Tomasz, Geert Molenberghs, Marc Buyse, Helena Geys, & Didier Renard. (2001). Validation of Surrogate end Points in Multiple Randomized Clinical Trials with Failure Time end Points. Journal of the Royal Statistical Society Series C (Applied Statistics). 50(4). 405–422. 150 indexed citations
20.
Wuyts, Floris L., et al.. (1997). A Review of Electrocochleography: Instrumentation Settings and Meta-analysis of Criteria for Diagnosis of Endolymphatic Hydrops. Acta Oto-Laryngologica. 117(sup526). 14–20. 23 indexed citations

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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