L. H. Wasserman

5.7k total citations · 2 hit papers
41 papers, 3.6k citations indexed

About

L. H. Wasserman is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, L. H. Wasserman has authored 41 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 12 papers in Artificial Intelligence and 12 papers in Statistics and Probability. Recurrent topics in L. H. Wasserman's work include Statistical Methods and Inference (9 papers), Stellar, planetary, and galactic studies (6 papers) and Astronomical Observations and Instrumentation (6 papers). L. H. Wasserman is often cited by papers focused on Statistical Methods and Inference (9 papers), Stellar, planetary, and galactic studies (6 papers) and Astronomical Observations and Instrumentation (6 papers). L. H. Wasserman collaborates with scholars based in United States, United Kingdom and Italy. L. H. Wasserman's co-authors include Peter Walley, Robert E. Kass, Isabella Verdinelli, Andrew R. Barron, Mark J. Schervish, Christopher R. Genovese, Marco Perone-Pacifico, Thomas J. DiCiccio, Adrian E. Raftery and J. Veverka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Statistics in Medicine.

In The Last Decade

L. H. Wasserman

40 papers receiving 3.2k citations

Hit Papers

align trajectories

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.

Statistical Reasoning With Imprecise Probabilities

1993 1.7k citations L. H. Wasserman, Peter Walley Journal of the American Statistical Association profile →
All of Nonparametric Statistics

2006 630 citations L. H. Wasserman CERN Document Server (European Organization for Nuclear Research) profile →

Peers

Countries citing papers authored by L. H. Wasserman

Since Specialization

Citations

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

Fields of papers citing papers by L. H. Wasserman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. H. 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 L. H. Wasserman. The network helps show where L. H. Wasserman may publish in the future.

Co-authorship network of co-authors of L. H. Wasserman

This figure shows the co-authorship network connecting the top 25 collaborators of L. H. Wasserman. A scholar is included among the top collaborators of L. H. 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 L. H. Wasserman. L. H. Wasserman 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

#	Work	Indexed citations
1	Feature Importance: A Closer Look at Shapley Values and LOCO 2024 ·Statistical Science ·Isabella Verdinelli, L. H. Wasserman	9
2	Density-Sensitive Semisupervised Inference 2018 ·Figshare ·Martin Azizyan, Aarti Singh, L. H. Wasserman	5
3	Exponential Language Models, Logistic Regression, and Semantic Coherence 2018 ·Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) ·(unknown), Roni Rosenfeld, L. H. Wasserman	1
4	Stephen Fienberg: Superman of statistics 2017 ·Proceedings of the National Academy of Sciences ·L. H. Wasserman	3
5	Nonparametric ridge estimation 2014 ·Christopher R. Genovese, Marco Perone-Pacifico, Isabella Verdinelli, L. H. Wasserman	54
6	Manifold estimation and singular deconvolution under Hausdorff loss 2012 ·Christopher R. Genovese, Marco Perone-Pacifico, Isabella Verdinelli, L. H. Wasserman	39
7	2009 ·Portsmouth Research Portal (University of Portsmouth) ·Christopher R. Genovese, Peter E. Freeman, L. H. Wasserman, R. C. Nichol, Christopher J. Miller	7
8	All of Nonparametric Statistics breakdown → 2006 ·CERN Document Server (European Organization for Nuclear Research) ·L. H. Wasserman	630
9	Linking simulated Large Synoptic Survey Telescope asteroid observations 2005 ·ASPC ·Mikael Granvik, K. Muinonen, Jenni Virtanen, E. Bowell, L. H. Wasserman	1
10	Introduction to the Special Section on Astrostatistics 2004 ·Statistical Science ·(unknown), L. H. Wasserman, George Casella	1
11	Astrometry with the [ITAL]Hubble Space Telescope[/ITAL]: A Parallax of the Fundamental Distance Calibrator RR Lyrae 2002 ·The Astronomical Journal ·G. F. Benedict, B. McArthur, L. W. Fredrick, T. E. Harrison, J. Lee, C. L. Slesnick, Jaehyon Rhee, Richard J. Patterson, Edmund Nelan, W. H. Jefferys, W. van Altena, P. J. Shelus, O. G. Franz, L. H. Wasserman, P. D. Hemenway, R. L. Duncombe, D. Story, A. L. Whipple, A. J. Bradley	92
12	Bayesian model selection: analysis of a survival model with a surviving fraction 2001 ·Statistics in Medicine ·Howard Seltman, Joel B. Greenhouse, L. H. Wasserman	4
13	Proxima Centauri and Barnard's Star: Low-mass Companion Astrometric Detection Limits and High-Precision Photometry with HST 1997 ·Bulletin of the American Astronomical Society ·G. F. Benedict, B. McArthur, A. L. Whipple, E. Nelan, D. Story, P. J. Shelus, W. H. Jefferys, P. D. Hemenway, O. G. Franz, L. H. Wasserman, W. van Altena, L. W. Fredrick	2
14	The Selection of Prior Distributions by Formal Rules 1996 ·Journal of the American Statistical Association ·Robert E. Kass, L. H. Wasserman	143
15	Astrometric Companions Detected at Visible Wavelengths with the Hubble Space Telescope Fine Guidance Sensors 1994 ·American Astronomical Society Meeting Abstracts ·O. G. Franz, L. H. Wasserman, A. J. Bradley, G. F. Benedict, R. L. Duncombe, P. D. Hemenway, W. H. Jefferys, B. McArthur, Edmund Nelan, P. J. Shelus, D. Story, A. L. Whipple, L. W. Fredrick, (unknown)	1
16	Statistical Reasoning With Imprecise Probabilities breakdown → 1993 ·Journal of the American Statistical Association ·L. H. Wasserman, Peter Walley	1737
17	Bayesian Inference with Specified Prior Marginals 1991 ·Journal of the American Statistical Association ·Michael Lavine, L. H. Wasserman, Robert L. Wolpert	13
18	Clouds Above the Martian Limb 1983 ·Bulletin of the American Astronomical Society ·L. J. Martin, W. A. Baum, L. H. Wasserman, T. J. Kreidl	1
19	A Possible Satellite of Herculina. 1978 ·Bulletin of the American Astronomical Society ·E. Bowell, (unknown), K. Horne, M. F. A’Hearn, (unknown), (unknown), (unknown), L. H. Wasserman, N. M. White	10
20	Effects of surface roughness on the photometric properties of mars 1972 ·Icarus ·J. Veverka, L. H. Wasserman	30

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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