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.
All of Statistics: A Concise Course in Statistical Inference
2012498 citationsLarry WassermanVirtual Defense Library (Ministerio de Defensa)profile →
Citations per year, relative to Larry Wasserman Larry Wasserman (= 1×)
peers
Cliff Joslyn
Countries citing papers authored by Larry Wasserman
Since
Specialization
Citations
This map shows the geographic impact of Larry Wasserman'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 Larry Wasserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Wasserman more than expected).
This network shows the impact of papers produced by Larry Wasserman. 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 Larry Wasserman. The network helps show where Larry Wasserman may publish in the future.
Co-authorship network of co-authors of Larry Wasserman
This figure shows the co-authorship network connecting the top 25 collaborators of Larry Wasserman.
A scholar is included among the top collaborators of Larry Wasserman 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 Larry Wasserman. Larry Wasserman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
11 of 11 papers shown
1.
Fasy, Brittany Terese, Fabrizio Lecci, Alessandro Rinaldo, et al.. (2013). Statistical Inference For Persistent Homology: Confidence Sets For Persistence Diagrams. arXiv (Cornell University).3 indexed citations
2.
Wasserman, Larry. (2012). All of Statistics: A Concise Course in Statistical Inference. Virtual Defense Library (Ministerio de Defensa).498 indexed citations breakdown →
3.
Genovese, Christopher R., Marco Perone-Pacifico, Isabella Verdinelli, & Larry Wasserman. (2010). Nonparametric Filament Estimation. arXiv (Cornell University).5 indexed citations
4.
Liu, Han, John Lafferty, & Larry Wasserman. (2010). Tree Density Estimation. arXiv (Cornell University).4 indexed citations
5.
Young, L. A., M. W. Buie, C. B. Olkin, et al.. (2009). Results from the 2009 April 21 Pluto Occultation. DPS.1 indexed citations
Gray, Alexander, Andrew W. Moore, R. C. Nichol, et al.. (2004). Multi-Tree Methods for Statistics on Very Large Datasets in Astronomy. CERN Bulletin. 314. 249.1 indexed citations
Altena, W. F. van, X. Guo, B. McArthur, et al.. (1997). The Distance to the Hyades Cluster Based on HST FGS3 Parallaxes. Bulletin of the American Astronomical Society. 28. 1102.2 indexed citations
10.
Buie, M. W., R. L. Millis, Larry Wasserman, et al.. (1993). CCD Camera Occultation System. 25.4 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.