L. H. Wasserman

40 papers receiving 3.2k citations

Hit Papers

Statistical Reasoning With Imprecise Probabilities19932026200420151993200650010001.5k

Peers

L. H. Wasserman
Comparison fields: 5 of 164
  • Artificial Intelligence 1.6k
  • Statistics and Probability 1.2k
  • Management Science and Operations Research 793
  • Computational Theory and Mathematics 466
  • Statistics, Probability and Uncertainty 405
Replace Larry Wasserman with:
Larry Wasserman United States
Michael Goldstein United Kingdom
M. J. Bayarri Spain
Jeffrey S. Rosenthal Canada
José M. Bernardo Spain
Terrence L. Fine United States
Tom Leonard United Kingdom
Thomas Sellke United States
Peter Walley Spain
Isabella Verdinelli United States
L. H. Wasserman relative to Larry Wasserman United States Larry Wasserman's profile →
Citations per field
00.5×1.5×
Larry Wasserman · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 9
2 5
3 1
4 3
5
Nonparametric ridge estimation
54
6
Manifold estimation and singular deconvolution under Hausdorff loss
39
7
7
8
All of Nonparametric Statisticsbreakdown →
630
9
Linking simulated Large Synoptic Survey Telescope asteroid observations
1
10 1
11 92
12 4
13
Proxima Centauri and Barnard's Star: Low-mass Companion Astrometric Detection Limits and High-Precision Photometry with HST
2
14 143
15
Astrometric Companions Detected at Visible Wavelengths with the Hubble Space Telescope Fine Guidance Sensors
1
16
Statistical Reasoning With Imprecise Probabilitiesbreakdown →
1737
17 13
18
Clouds Above the Martian Limb
1
19
A Possible Satellite of Herculina.
10
20 30

About L. H. Wasserman

L. H. Wasserman is a scholar working on Statistics and Probability, Astronomy and Astrophysics and Instrumentation, having authored 41 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Stellar, planetary, and galactic studies (6 papers) and Astronomical Observations and Instrumentation (6 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), General Decision Sciences (254 citations) and Management Science and Operations Research (793 citations). L. H. Wasserman has collaborated with scholars based in United States, United Kingdom and Italy. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Statistics in Medicine.

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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