Els Goetghebeur

6.5k total citations · 2 hit papers
133 papers, 4.0k citations indexed

About

Els Goetghebeur is a scholar working on Statistics and Probability, Economics and Econometrics and Oncology. According to data from OpenAlex, Els Goetghebeur has authored 133 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Statistics and Probability, 20 papers in Economics and Econometrics and 16 papers in Oncology. Recurrent topics in Els Goetghebeur's work include Advanced Causal Inference Techniques (41 papers), Statistical Methods in Clinical Trials (35 papers) and Statistical Methods and Inference (32 papers). Els Goetghebeur is often cited by papers focused on Advanced Causal Inference Techniques (41 papers), Statistical Methods in Clinical Trials (35 papers) and Statistical Methods and Inference (32 papers). Els Goetghebeur collaborates with scholars based in Belgium, United States and United Kingdom. Els Goetghebeur's co-authors include Stijn Vansteelandt, Geert Molenberghs, Louise Ryan, Bernard Vrijens, Michael G. Kenward, Piet Ost, Dries Reynders, Karel Decaestecker, Valérie Fonteyne and Renée Bultijnck and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Journal of the American Statistical Association.

In The Last Decade

Els Goetghebeur

127 papers receiving 3.8k citations

Hit Papers

Surveillance or Metastasis-Directed Therapy for Oligometa... 2017 2026 2020 2023 2017 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Els Goetghebeur Belgium 35 1.4k 960 441 390 367 133 4.0k
Sally Hunsberger United States 33 764 0.6× 482 0.5× 200 0.5× 295 0.8× 775 2.1× 98 4.4k
Nancy Flournoy United States 41 1.0k 0.8× 759 0.8× 362 0.8× 441 1.1× 2.2k 6.0× 116 10.2k
Stephen L. George United States 50 824 0.6× 1.5k 1.6× 552 1.3× 389 1.0× 2.3k 6.3× 172 9.2k
Thomas Braun United States 46 712 0.5× 445 0.5× 136 0.3× 185 0.5× 1.1k 3.0× 202 6.7k
Simone Mathoulin‐Pélissier France 39 260 0.2× 1.6k 1.7× 420 1.0× 453 1.2× 2.0k 5.6× 179 5.9k
J. Robert Beck United States 31 266 0.2× 1.0k 1.0× 401 0.9× 244 0.6× 1.1k 2.9× 112 6.5k
Susan S. Ellenberg United States 38 1.3k 0.9× 850 0.9× 112 0.3× 613 1.6× 604 1.6× 168 6.1k
Christina Yap United Kingdom 23 397 0.3× 171 0.2× 79 0.2× 280 0.7× 238 0.6× 113 2.4k
David P. Byar United States 43 1.5k 1.1× 2.5k 2.6× 592 1.3× 184 0.5× 2.5k 6.8× 98 10.8k
Michael Sweeting United Kingdom 39 593 0.4× 2.8k 2.9× 228 0.5× 297 0.8× 419 1.1× 126 7.7k

Countries citing papers authored by Els Goetghebeur

Since Specialization
Citations

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

Fields of papers citing papers by Els Goetghebeur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Els Goetghebeur

This figure shows the co-authorship network connecting the top 25 collaborators of Els Goetghebeur. A scholar is included among the top collaborators of Els Goetghebeur 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 Els Goetghebeur. Els Goetghebeur 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.
Sauerbrei, Willi, Federico Ambrogi, Riccardo De Bin, et al.. (2025). Commentary: Regression Models—Efforts Are Required to Improve Statistical Practice and Teaching. Statistics in Medicine. 44(13-14). e10341–e10341.
2.
Gabriel, Erin E., Michael C. Sachs, Ingeborg Waernbaum, et al.. (2024). Propensity weighting plus adjustment in proportional hazards model is not doubly robust. Biometrics. 80(3). 1 indexed citations
3.
Gabriel, Erin E., Michael C. Sachs, Torben Martinussen, et al.. (2023). Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation. Statistics in Medicine. 43(3). 534–547. 13 indexed citations
5.
Bertizzolo, Lorenzo, et al.. (2021). Consistency of causal claims in observational studies: a review of papers published in a general medical journal. BMJ Open. 11(5). e043339–e043339. 12 indexed citations
6.
Abatih, Emmanuel, et al.. (2018). Le retour au travail après cancer : Etude de cohorte via l’échantillon permanent. Défis et opportunités pour la recherche.. 1 indexed citations
7.
Berwouts, Dieter, Katrien De Wolf, Bieke Lambert, et al.. (2015). Biological 18[F]-FDG-PET image-guided dose painting by numbers for painful uncomplicated bone metastases: A 3-arm randomized phase II trial. Radiotherapy and Oncology. 115(2). 272–278. 25 indexed citations
8.
Goetghebeur, Els, Ronan Van Rossem, Tom Boterberg, et al.. (2011). Quality Assurance of rectal cancer diagnosis and treatment – phase 3. 1 indexed citations
9.
Goetgeluk, Sylvie, Stijn Vansteelandt, & Els Goetghebeur. (2008). Estimation of Controlled Direct Effects. Journal of the Royal Statistical Society Series B (Statistical Methodology). 70(5). 1049–1066. 79 indexed citations
10.
Goetghebeur, Els, et al.. (2007). Estimating effectiveness and efficacy at different observed dosing levels with selective noncompliance in a placebo-controlled clinical trial. Document Server@UHasselt (UHasselt).
11.
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
12.
Vansteelandt, Stijn & Els Goetghebeur. (2004). Using potential outcomes as predictors of treatment activity via strong structural mean models. Statistica Sinica. 14(3). 907–925. 11 indexed citations
13.
14.
Goetghebeur, Els & Tom Loeys. (2003). A sensitivity analysis for causal parameters in structural proportional hazards models. Ghent University Academic Bibliography (Ghent University). 27(1). 31–40. 4 indexed citations
15.
Vrijens, Bernard, et al.. (2002). Dose timing information improves the clinical exploratory power of data on patient compliance with antiretroviral drug regimens. Ghent University Academic Bibliography (Ghent University). 5 indexed citations
16.
Loeys, Tom, Stijn Vansteelandt, & Els Goetghebeur. (2001). Accounting for correlation and compliance in cluster randomized trials. Statistics in Medicine. 20(24). 3753–3767. 14 indexed citations
17.
Goetghebeur, Els & Louise Ryan. (2000). Semiparametric regression analysis of interval-censored data. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
18.
Vansteelandt, Stijn, Els Goetghebeur, & Thomas Verstraeten. (1999). Adjusting for confouding when estimating a time trend in HIV prevalence based on pooled serum samples. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
19.
Goetghebeur, Els, et al.. (1997). Contribution of the discussion of the paper. Inference from non-random samples by Copas and Li. Journal of the Royal Statistical Society Series B (Statistical Methodology). 87–88. 1 indexed citations
20.
Goetghebeur, Els & Geert Molenberghs. (1996). Causal inference in placebo-controlled clinical trials with binary outcome and ordered compliance. Ghent University Academic Bibliography (Ghent University). 1 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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