Larry Wasserman
- Statistics and Probability top 0.05%
- Statistical Methods and Inference 62
- Statistical Methods and Bayesian Inference 33
- Advanced Statistical Methods and Models 23
- Statistical Methods in Clinical Trials 18
- Markov Chains and Monte Carlo Methods 10
- Artificial Intelligence top 0.5%
- Bayesian Methods and Mixture Models 23
- Bayesian Modeling and Causal Inference 13
- General Decision Sciences top 5%
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- Gene expression and cancer classification 11
- Co-authors
- Christopher R. GenoveseRobert E. KassKathryn RoederIsabella VerdinelliJohn LaffertyBernie DevlinHan LiuAlessandro Rinaldo
- Journals
- Journal of the American Statistical Association (22 papers)The Annals of Statistics (13 papers)Monthly Notices of the Royal Astronomical Society (6 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Larry Wasserman
125 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 219
- Statistics and Probability 2.6k
- Statistics, Probability and Uncertainty 435
- Artificial Intelligence 1.8k
- General Decision Sciences 92
- Management Science and Operations Research 591
Countries citing papers authored by Larry Wasserman
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).
Fields of papers citing papers by Larry Wasserman
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
The 25 scholars most cited alongside Larry Wasserman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 22 | |
| 7 | Efficient Topological Layer based on Persistent Landscapes | 2020 | 2 |
| 8 | 2018 | 56 | |
| 9 | Robust Multivariate Nonparametric Tests via Projection-Pursuit | 2018 | 4 |
| 10 | 2016 | 39 | |
| 11 | Optimal ridge detection using coverage risk | 2015 | 1 |
| 12 | On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives | 2015 | 6 |
| 13 | Kernel MMD, the Median Heuristic and Distance Correlation in High Dimensions. | 2014 | 4 |
| 14 | Exponential Concentration for Mutual Information Estimation with Application to Forests | 2012 | 11 |
| 15 | Multi-Stage Variable Selection: Screen and Clean | 2007 | 4 |
| 16 | SpAM: Sparse Additive Models | 2007 | 89 |
| 17 | All of Nonparametric Statistics (Springer Texts in Statistics) | 2006 | 145 |
| 18 | Rodeo: Sparse Nonparametric Regression in High Dimensions | 2005 | 10 |
| 19 | 1996 | 5 | |
| 20 | 1993 | 11 |
About Larry Wasserman
Larry Wasserman is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Instrumentation and Modeling and Simulation, having authored 133 papers that have together received 7.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (62 papers), Statistical Methods and Bayesian Inference (33 papers), Bayesian Methods and Mixture Models (23 papers), Advanced Statistical Methods and Models (23 papers), Statistical Methods in Clinical Trials (18 papers), Bayesian Modeling and Causal Inference (13 papers), Gene expression and cancer classification (11 papers) and Markov Chains and Monte Carlo Methods (10 papers). The work is most often cited by research in Statistics and Probability (2.6k citations), Statistics, Probability and Uncertainty (435 citations), Artificial Intelligence (1.8k citations), General Decision Sciences (92 citations) and Management Science and Operations Research (591 citations). Larry Wasserman has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Christopher R. Genovese, Robert E. Kass, Kathryn Roeder, Isabella Verdinelli, John Lafferty, Bernie Devlin, Han Liu, Alessandro Rinaldo, Jing Lei and Ryan J. Tibshirani. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Monthly Notices of the Royal Astronomical Society, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.