Larry Wasserman
Impact in
- Statistics and Probability top 0.1%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- General Decision Sciences top 2%
Papers in
-
- Statistical Methods and Inference 17
- Statistical Methods and Bayesian Inference 8
- Advanced Statistical Methods and Models 7
-
- Bayesian Methods and Mixture Models 15
- Bayesian Modeling and Causal Inference 14
- Machine Learning and Algorithms 7
- Co-authors
- Robert E. KassThomas J. DiCiccioAdrian E. RafteryKathryn RoederJohn LaffertyShuheng ZhouHan LiuChristopher R. Genovese
- Journals
- Journal of the American Statistical Association (10 papers)The Annals of Statistics (8 papers)Journal of Machine Learning Research (4 papers)Journal of Statistical Planning and Inference (3 papers)The Annals of Applied Statistics (2 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Larry Wasserman
69 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Statistics and Probability 1.9k
- General Decision Sciences 161
- Artificial Intelligence 2.1k
- Statistics, Probability and Uncertainty 327
- Management Science and Operations Research 524
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-authors
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 | 2023 | 3 | |
| 3 | PLLay: Efficient Topological Layer based on Persistent Landscapes | 2020 | 5 |
| 4 | Investigating the Cosmic Web with Topological Data Analysis | 2018 | 2 |
| 5 | 2018 | 1 | |
| 6 | 2018 | 3 | |
| 7 | 2015 | 16 | |
| 8 | 2012 | 31 | |
| 9 | Statistical Analysis of Semi-Supervised Regression | 2007 | 81 |
| 10 | 2007 | 7 | |
| 11 | 2006 | 147 | |
| 12 | Active Learning For Identifying Function Threshold Boundaries | 2005 | 44 |
| 13 | 2005 | 84 | |
| 14 | 2004 | 11 | |
| 15 | Evidence of cross-hybridization artifact in expressed sequence tags (ESTs) on cDNA microarrays | 2002 | 1 |
| 16 | 1999 | 8 | |
| 17 | Computing Bayes Factors by Combining Simulation and Asymptotic Approximations Hit paper breakdown → | 1997 | 1516 |
| 18 | The Selection of Prior Distributions by Formal Rules Hit paper breakdown → | 1996 | 733 |
| 19 | 1994 | 2 | |
| 20 | 1986 | 35 |
About Larry Wasserman
Larry Wasserman is a scholar working on Statistics and Probability, Artificial Intelligence, Biophysics, Computational Theory and Mathematics and General Decision Sciences, having authored 73 papers that have together received 5.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (17 papers), Bayesian Methods and Mixture Models (15 papers), Bayesian Modeling and Causal Inference (14 papers), Topological and Geometric Data Analysis (10 papers), Statistical Methods and Bayesian Inference (8 papers), Machine Learning and Algorithms (7 papers), Advanced Statistical Methods and Models (7 papers) and Sparse and Compressive Sensing Techniques (5 papers). The work is most often cited by research in Statistics and Probability (1.9k citations), General Decision Sciences (161 citations), Artificial Intelligence (2.1k citations), Statistics, Probability and Uncertainty (327 citations) and Management Science and Operations Research (524 citations). Larry Wasserman has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Robert E. Kass, Thomas J. DiCiccio, Adrian E. Raftery, Kathryn Roeder, John Lafferty, Shuheng Zhou, Han Liu, Christopher R. Genovese, Xiaotong Shen and Teddy Seidenfeld. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Journal of Machine Learning Research, Journal of Statistical Planning and Inference and The Annals of Applied Statistics.
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.