Ingrid Van Keilegom

5.0k total citations
196 papers, 3.3k citations indexed

About

Ingrid Van Keilegom is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Ingrid Van Keilegom has authored 196 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Statistics and Probability, 52 papers in Artificial Intelligence and 19 papers in Finance. Recurrent topics in Ingrid Van Keilegom's work include Statistical Methods and Inference (165 papers), Statistical Methods and Bayesian Inference (78 papers) and Advanced Statistical Methods and Models (63 papers). Ingrid Van Keilegom is often cited by papers focused on Statistical Methods and Inference (165 papers), Statistical Methods and Bayesian Inference (78 papers) and Advanced Statistical Methods and Models (63 papers). Ingrid Van Keilegom collaborates with scholars based in Belgium, United States and Spain. Ingrid Van Keilegom's co-authors include Michael G. Akritas, Noël Veraverbeke, Oliver Linton, Xiaohong Chen, Anouar El Ghouch, Gerda Claeskens, Natalie Neumeyer, Song Xi Chen, Wenceslao González–Manteiga and Ian W. McKeague and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Econometrica.

In The Last Decade

Ingrid Van Keilegom

181 papers receiving 3.1k citations

Peers

Ingrid Van Keilegom

FINAN

MSOR

Gerda Claeskens Belgium

Nils Lid Hjort Norway

José Marı́a Sarabia Spain

Jens Perch Nielsen United Kingdom

Chris A. J. Klaassen Netherlands

Πέτρος Δελλαπόρτας Greece

James B. McDonald United States

Konstantinos Fokianos Cyprus

Enno Mammen Germany

Stefan Sperlich Switzerland

Gerda Claeskens Belgium

Ingrid Van Keilegom

2.1k ×0.9

694 ×1.1

614 ×1.3

322 ×0.8

FINAN

504 ×1.3

MSOR

Citations per year, relative to Ingrid Van Keilegom Ingrid Van Keilegom (= 1×) peers Gerda Claeskens

Countries citing papers authored by Ingrid Van Keilegom

Since Specialization

Citations

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

Fields of papers citing papers by Ingrid Van Keilegom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingrid Van Keilegom. 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 Ingrid Van Keilegom. The network helps show where Ingrid Van Keilegom may publish in the future.

Co-authorship network of co-authors of Ingrid Van Keilegom

This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid Van Keilegom. A scholar is included among the top collaborators of Ingrid Van Keilegom 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 Ingrid Van Keilegom. Ingrid Van Keilegom 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

Klein, Nadja, et al.. (2025). Modelling dependent censoring in time-to-event data using boosting copula regression. Lifetime Data Analysis. 31(4). 994–1016.

Keilegom, Ingrid Van, et al.. (2024). Predicting time-to-intubation after critical care admission using machine learning and cured fraction information. Artificial Intelligence in Medicine. 150. 102817–102817. 2 indexed citations

Patilea, Valentin, et al.. (2024). A two‐step estimation procedure for semiparametric mixture cure models. Scandinavian Journal of Statistics. 51(3). 987–1011. 1 indexed citations

Shahri, Seyed Mahmood Taghavi, et al.. (2024). On variable selection in a semiparametric AFT mixture cure model. Lifetime Data Analysis. 30(2). 472–500. 1 indexed citations

Keilegom, Ingrid Van, et al.. (2023). Density estimation and regression analysis on hyperspheres in the presence of measurement error. Scandinavian Journal of Statistics. 51(2). 513–556. 1 indexed citations

Pardo–Fernández, Juan Carlos, et al.. (2022). A test for comparing conditional ROC curves with multidimensional covariates. Journal of Applied Statistics. 51(1). 87–113. 3 indexed citations

Keilegom, Ingrid Van, et al.. (2022). Accelerated failure time vs Cox proportional hazards mixture cure models: David vs Goliath?. Statistical Papers. 64(3). 835–855. 10 indexed citations

Keilegom, Ingrid Van, et al.. (2021). Semiparametric estimation of the nonmixture cure model with auxiliary survival information. Biometrics. 78(2). 448–459. 9 indexed citations

Neumeyer, Natalie & Ingrid Van Keilegom. (2019). Bootstrap of residual processes in regression: to smooth or not to smooth?. Lirias (KU Leuven). 3 indexed citations

10.

Keilegom, Ingrid Van, et al.. (2018). Non-parametric cure rate estimation under insufficient follow-up using extremes. Lirias (KU Leuven). 5 indexed citations

11.

Wei, Jiawei, Raymond J. Carroll, Ursula U. Müller, Ingrid Van Keilegom, & Nilanjan Chatterjee. (2012). Robust estimation for homoscedastic regression in the secondary analysis of caseâcontrol data. Digital Access to Libraries. 19 indexed citations

12.

Keilegom, Ingrid Van. (2012). Discussion on: "Probabilistic index models" (by O. Thas, J. De Neve, L. Clement and J-P. Ottoy). Journal of the Royal Statistical Society Series B (Statistical Methodology). 74. 654–654. 2 indexed citations

13.

Heuchenne, Cédric, et al.. (2011). Estimating the residual distribution in a semiparametric transformation model.. Open Repository and Bibliography (University of Liège). 3 indexed citations

14.

Keilegom, Ingrid Van, et al.. (2009). Empirical Likelihood for Non‐Smooth Criterion Functions. Scandinavian Journal of Statistics. 36(3). 413–432. 38 indexed citations

15.

Keilegom, Ingrid Van, et al.. (2009). A goodness-of-fit test for generalised conditional linear models under left truncation and right censoring. Journal of nonparametric statistics. 22(5). 547–566. 1 indexed citations

16.

Hall, Peter A. & Ingrid Van Keilegom. (2007). Two-sample tests in functional data analysis starting from discrete data. Statistica Sinica. 17(4). 1511–1531. 52 indexed citations

17.

Pardo–Fernández, Juan Carlos, Ingrid Van Keilegom, & Wenceslao González–Manteiga. (2007). Testing for the equality of k regression curves. Statistica Sinica. 17(3). 1115–1137. 39 indexed citations

18.

Keilegom, Ingrid Van & Raymond J. Carroll. (2007). Backfitting versus profiling in general criterion functions. Statistica Sinica. 17(2). 797–816. 13 indexed citations

19.

Keilegom, Ingrid Van & Noël Veraverbeke. (2002). Density and hazard estimation in censored regression models. Bernoulli. 8(5). 607–625. 15 indexed citations

20.

Akritas, Michael G. & Ingrid Van Keilegom. (2000). Estimation of the bivariate and marginal distributions with censored data. DIAL (Catholic University of Leuven). 200009. 2 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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