L. H. Wasserman

117 total papers · 5.7k total citations
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, Mark J. Schervish, Andrew R. Barron, 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

Statistical Reasoning Wit... 1993 2026 2004 2015 1993 2006 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
L. H. Wasserman 1.6k 1.2k 795 464 407 41 3.6k
Larry Wasserman 2.1k 1.3× 1.9k 1.6× 524 0.7× 478 1.0× 329 0.8× 73 5.3k
Larry Wasserman 1.8k 1.2× 2.6k 2.3× 601 0.8× 246 0.5× 440 1.1× 133 7.2k
A. Rényi 1.8k 1.2× 1.4k 1.2× 830 1.0× 1.1k 2.4× 409 1.0× 85 7.6k
José M. Bernardo 1.3k 0.8× 1.9k 1.7× 658 0.8× 155 0.3× 700 1.7× 66 4.1k
A. N. Kolmogorov 1.9k 1.2× 1.2k 1.0× 875 1.1× 1.5k 3.2× 214 0.5× 88 7.7k
Robert F. Ling 997 0.6× 1.4k 1.2× 346 0.4× 369 0.8× 507 1.2× 57 6.9k
R. Ash 1.1k 0.7× 387 0.3× 280 0.4× 492 1.1× 115 0.3× 44 4.1k
Jonathan Taylor 649 0.4× 1.4k 1.2× 358 0.5× 187 0.4× 197 0.5× 78 6.5k
George Marsaglia 1.5k 0.9× 801 0.7× 388 0.5× 908 2.0× 284 0.7× 87 6.3k
J. L. Hodges 1.1k 0.7× 1.4k 1.2× 397 0.5× 159 0.3× 365 0.9× 48 5.0k

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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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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