Emmanuel Lesaffre

8.9k total citations · 1 hit paper
125 papers, 6.1k citations indexed

About

Emmanuel Lesaffre is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Emmanuel Lesaffre has authored 125 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Statistics and Probability, 22 papers in Artificial Intelligence and 14 papers in Statistics, Probability and Uncertainty. Recurrent topics in Emmanuel Lesaffre's work include Statistical Methods and Bayesian Inference (67 papers), Statistical Methods and Inference (34 papers) and Statistical Methods in Clinical Trials (27 papers). Emmanuel Lesaffre is often cited by papers focused on Statistical Methods and Bayesian Inference (67 papers), Statistical Methods and Inference (34 papers) and Statistical Methods in Clinical Trials (27 papers). Emmanuel Lesaffre collaborates with scholars based in Belgium, Netherlands and United States. Emmanuel Lesaffre's co-authors include Geert Verbeke, Dominique Declerck, Geert Molenberghs, Andrew Lawson, Bart Spiessens, Samuel Mwalili, Luk Bruyneel, Kris Bogaerts, René Schwendimann and Maria Kózka and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Emmanuel Lesaffre

121 papers receiving 5.8k citations

Hit Papers

Nurse staffing and education and hospital mortality in ni... 2014 2026 2018 2022 2014 400 800 1.2k

Peers

Emmanuel Lesaffre
Dylan S. Small United States
John S. Preisser United States
Haitao Chu United States
Dankmar Böhning United Kingdom
Peter X.‐K. Song United States
Donald R. Hoover United States
Emmanuel Lesaffre
Citations per year, relative to Emmanuel Lesaffre Emmanuel Lesaffre (= 1×) peers Emmanuel Lesaffre

Countries citing papers authored by Emmanuel Lesaffre

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Lesaffre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Lesaffre

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Lesaffre. A scholar is included among the top collaborators of Emmanuel Lesaffre 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 Emmanuel Lesaffre. Emmanuel Lesaffre 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.
Lesaffre, Emmanuel, et al.. (2024). Differences in BMI trajectory for infants in different birth weight classes. Discover Public Health. 21(1). 1 indexed citations
2.
Toivonen, Jarkko, Veerle Compernolle, Surendra Karki, et al.. (2023). An international comparison of haemoglobin deferral prediction models for blood banking. Vox Sanguinis. 118(6). 430–439. 5 indexed citations
3.
Lesaffre, Emmanuel, et al.. (2023). Bayesian Borrowing Methods for Count Data: Analysis of Incontinence Episodes in Patients with Overactive Bladder. Statistics in Biopharmaceutical Research. 16(1). 89–103. 1 indexed citations
4.
Sempa, Joseph B., Theresa M. Rossouw, Emmanuel Lesaffre, & Martin Nieuwoudt. (2019). Cumulative viral load as a predictor of CD4+ T-cell response to antiretroviral therapy using Bayesian statistical models. PLoS ONE. 14(11). e0224723–e0224723. 10 indexed citations
5.
Lesaffre, Emmanuel, et al.. (2019). Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors. Communications in Statistics - Simulation and Computation. 51(4). 1591–1615. 14 indexed citations
6.
Rosmalen, Joost van, et al.. (2018). Modified power prior with multiple historical trials for binary endpoints. Statistics in Medicine. 38(7). 1147–1169. 34 indexed citations
7.
Bryan, Susan R, Paul H.C. Eilers, Joost van Rosmalen, et al.. (2017). Bayesian hierarchical modeling of longitudinal glaucomatous visual fields using a two‐stage approach. Statistics in Medicine. 36(11). 1735–1753. 9 indexed citations
8.
Menten, Joris & Emmanuel Lesaffre. (2015). A general framework for comparative Bayesian meta-analysis of diagnostic studies. BMC Medical Research Methodology. 15(1). 70–70. 31 indexed citations
9.
Aiken, Linda H., Douglas M. Sloane, Luk Bruyneel, et al.. (2014). Nurse staffing and education and hospital mortality in nine European countries: a retrospective observational study. The Lancet. 383(9931). 1824–1830. 1458 indexed citations breakdown →
10.
Lesaffre, Emmanuel, et al.. (2011). Hierarchical Generalized Linear Models: The R Package HGLMMM. SHILAP Revista de lepidopterología. 2 indexed citations
11.
Truyers, Carla, Frank Buntinx, Jan De Lepeleire, et al.. (2011). Incident somatic comorbidity after psychosis: results from a retrospective cohort study based on Flemish general practice data. BMC Family Practice. 12(1). 132–132. 16 indexed citations
12.
Tsonaka, Roula, Geert Verbeke, & Emmanuel Lesaffre. (2008). A Semi‐Parametric Shared Parameter Model to Handle Nonmonotone Nonignorable Missingness. Biometrics. 65(1). 81–87. 49 indexed citations
13.
Lesaffre, Emmanuel, Niko Speybroeck, & Dirk Berkvens. (2007). Bayes and diagnostic testing. Veterinary Parasitology. 148(1). 58–61. 27 indexed citations
14.
Ghidey, Wendimagegn, Emmanuel Lesaffre, & Paul H.C. Eilers. (2004). Smooth Random Effects Distribution in a Linear Mixed Model. Biometrics. 60(4). 945–953. 88 indexed citations
15.
Spiessens, Bart, Emmanuel Lesaffre, & Geert Verbeke. (2003). A comparison of group sequential methods for binary longitudinal data. Statistics in Medicine. 22(4). 501–515. 3 indexed citations
16.
Leroy, Roos, Kris Bogaerts, Emmanuel Lesaffre, & Dominique Declerck. (2003). Impact of caries experience in the deciduous molars on the emergence of the successors. European Journal Of Oral Sciences. 111(2). 106–110. 21 indexed citations
17.
Vanobbergen, J., Luc Martens, Emmanuel Lesaffre, Kris Bogaerts, & Dominique Declerck. (2001). Assessing risk indicators for dental caries in the primary dentition. Community Dentistry And Oral Epidemiology. 29(6). 424–434. 126 indexed citations
18.
Vanobbergen, J., Luc Martens, Emmanuel Lesaffre, Kris Bogaerts, & Dominique Declerck. (2001). The Value of a Baseline Caries Risk Assessment Model in the Primary Dentition for the Prediction of Caries Incidence in the Permanent Dentition. Caries Research. 35(6). 442–450. 69 indexed citations
19.
Molenberghs, Geert & Emmanuel Lesaffre. (1997). NON-LINEAR INTEGRAL EQUATIONS TO APPROXIMATE BIVARIATE DENSITIES WITH GIVEN MARGINALS AND DEPENDENCE FUNCTION. Statistica Sinica. 7(3). 713–738. 12 indexed citations
20.
Boonen, S., Emmanuel Lesaffre, J. Dequeker, et al.. (1996). Relationship Between Baseline Insulin‐Like Growth Factor‐I (IGF‐I) and Femoral Bone Density in Women Aged Over 70 Years: Potential Implications for the Prevention of Age‐Related Bone Loss. Journal of the American Geriatrics Society. 44(11). 1301–1306. 66 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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