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.
Weak Convergence and Empirical Processes
19963.1k citationsAad van der Vaart, Jon A. WellnerSpringer series in statisticsprofile →
Countries citing papers authored by Jon A. Wellner
Since
Specialization
Citations
This map shows the geographic impact of Jon A. Wellner'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 Jon A. Wellner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon A. Wellner more than expected).
This network shows the impact of papers produced by Jon A. Wellner. 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 Jon A. Wellner. The network helps show where Jon A. Wellner may publish in the future.
Co-authorship network of co-authors of Jon A. Wellner
This figure shows the co-authorship network connecting the top 25 collaborators of Jon A. Wellner.
A scholar is included among the top collaborators of Jon A. Wellner 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 Jon A. Wellner. Jon A. Wellner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wellner, Jon A., et al.. (2017). A sharp multiplier inequality with applications to heavy-tailed regression problems. arXiv (Cornell University).2 indexed citations
4.
Koltchinskii, Vladimir, Richard Nickl, Sara van de Geer, & Jon A. Wellner. (2016). The mathematical work of Evarist Giné. Stochastic Processes and their Applications. 126(12). 3607–3622.1 indexed citations
Jongbloed, Geurt, Piet Groeneboom, & Jon A. Wellner. (2000). A canonical process for estimation of convex functions: the "invelope" of integrated Brownian motion + t4.. Data Archiving and Networked Services (DANS).2 indexed citations
15.
Murphy, Susan A., Aad van der Vaart, & Jon A. Wellner. (1999). Current Status Regression. Mathematical Methods of Statistics. 8. 407–425.15 indexed citations
Huang, Jian & Jon A. Wellner. (1995). Estimation of a Monotone Density or Monotone Hazard Under Random Censoring. Scandinavian Journal of Statistics. 22(1). 3–33.49 indexed citations
18.
Gill, Richard D., Mark J. van der Laan, & Jon A. Wellner. (1995). Inefficient estimators of the bivariate survival function for three models. French digital mathematics library (Numdam). 31(3). 545–597.86 indexed citations
19.
Einmahl, J.H.J., F.H. Ruymgaart, & Jon A. Wellner. (1988). A characterization of weak convergence of weighted multivariate empirical processes. Acta Scientiarum Mathematicarum. 52. 191–205.5 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.