Mark J. van der Laan

1.2k total citations · 1 hit paper
8 papers, 747 citations indexed

About

Mark J. van der Laan is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Mark J. van der Laan has authored 8 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Mark J. van der Laan's work include Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers) and Advanced Causal Inference Techniques (4 papers). Mark J. van der Laan is often cited by papers focused on Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers) and Advanced Causal Inference Techniques (4 papers). Mark J. van der Laan collaborates with scholars based in United States and France. Mark J. van der Laan's co-authors include James M. Robins, Eric C. Polley, Maya L. Petersen, Laura B. Balzer, Alan Hubbard, Nima S. Hejazi, Daniel B. Rubin, David Benkeser, Rachael V. Phillips and Antoine Chambaz and has published in prestigious journals such as Statistics in Medicine, Springer series in statistics and ˜The œAmerican journal of geriatric pharmacotherapy.

In The Last Decade

Mark J. van der Laan

8 papers receiving 704 citations

Hit Papers

Unified Methods for Censored Longitudinal Data and Causality 2003 2026 2010 2018 2003 200 400 600
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. Unified Methods for Censored Longitudinal Data and Causality
    2003 622 citations Mark J. van der Laan, James M. Robins Springer series in statistics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. van der Laan United States 5 583 110 82 37 30 8 747
Sandra E. Sinisi United States 8 322 0.6× 82 0.7× 66 0.8× 49 1.3× 37 1.2× 10 669
Grace Y. Yi Canada 14 303 0.5× 79 0.7× 98 1.2× 92 2.5× 47 1.6× 55 614
Genya Kobayashi Japan 7 252 0.4× 80 0.7× 166 2.0× 19 0.5× 13 0.4× 17 431
Lingling Li United States 12 255 0.4× 73 0.7× 33 0.4× 19 0.5× 50 1.7× 18 426
Cheryl L. Faucett United States 8 295 0.5× 54 0.5× 76 0.9× 12 0.3× 23 0.8× 12 596
Jon A. Steingrimsson United States 12 199 0.3× 71 0.6× 60 0.7× 59 1.6× 72 2.4× 61 481
Laura Thompson United States 11 375 0.6× 174 1.6× 17 0.2× 17 0.5× 27 0.9× 34 706
Mojtaba Ganjali Iran 14 537 0.9× 69 0.6× 157 1.9× 7 0.2× 23 0.8× 121 898
Guoxing Soon United States 11 178 0.3× 79 0.7× 16 0.2× 65 1.8× 68 2.3× 25 388
Weichung Joseph Shih United States 10 376 0.6× 120 1.1× 25 0.3× 33 0.9× 34 1.1× 14 553

Countries citing papers authored by Mark J. van der Laan

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. van der Laan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. van der Laan. 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 Mark J. van der Laan. The network helps show where Mark J. van der Laan may publish in the future.

Co-authorship network of co-authors of Mark J. van der Laan

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

All Works

8 of 8 papers shown
1.
Phillips, Rachael V. & Mark J. van der Laan. (2024). Comment on “Randomization Tests to Address Disruptions in Clinical Trials: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions”. Statistics in Biopharmaceutical Research. 16(4). 417–422. 1 indexed citations
2.
Malenica, Ivana, Rachael V. Phillips, Antoine Chambaz, et al.. (2023). Personalized online ensemble machine learning with applications for dynamic data streams. Statistics in Medicine. 42(7). 1013–1044. 3 indexed citations
3.
Hejazi, Nima S., Mark J. van der Laan, & David Benkeser. (2022). haldensify: Highly adaptive lasso conditional density estimation in R. The Journal of Open Source Software. 7(77). 4522–4522. 7 indexed citations
4.
Balzer, Laura B., Mark J. van der Laan, & Maya L. Petersen. (2016). Adaptive pre‐specification in randomized trials with and without pair‐matching. Statistics in Medicine. 35(25). 4528–4545. 35 indexed citations
5.
Polley, Eric C. & Mark J. van der Laan. (2010). Super Learner In Prediction. Collection of Biostatistics Research Archive. 40(10). 45–7. 71 indexed citations
6.
Rubin, Daniel B. & Mark J. van der Laan. (2007). Empirical Efficiency Maximization. Collection of Biostatistics Research Archive. 31(29-30). 720–1. 3 indexed citations
7.
Laan, Mark J. van der & James M. Robins. (2003). Unified Methods for Censored Longitudinal Data and Causality. Springer series in statistics. 622 indexed citations breakdown →
8.
Laan, Mark J. van der, et al.. (2002). Estimating Causal Parameters in Marginal Structural Models with Unmeasured Confounders Using Instrumental Variables. ˜The œAmerican journal of geriatric pharmacotherapy. 8(2). 170–4. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sandra E. Sinisi Breakdown of academic impact, for papers by Grace Y. Yi Breakdown of academic impact, for papers by Genya Kobayashi Breakdown of academic impact, for papers by Lingling Li Breakdown of academic impact, for papers by Cheryl L. Faucett Breakdown of academic impact, for papers by Jon A. Steingrimsson Breakdown of academic impact, for papers by Laura Thompson Breakdown of academic impact, for papers by Mojtaba Ganjali Breakdown of academic impact, for papers by Guoxing Soon Breakdown of academic impact, for papers by Weichung Joseph Shih
Rankless by CCL
2026