Lawrence Brown
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 13
- Advanced Statistical Methods and Models 9
- Statistical Methods and Bayesian Inference 6
- Advanced Causal Inference Techniques 3
- Random Matrices and Applications 2
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- Advanced Statistical Process Monitoring 3
- Emergency Medical Services top 5%
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- Bayesian Methods and Mixture Models 3
- Bayesian Modeling and Causal Inference 3
- Co-authors
- Linda ZhaoRichard A. BerkAndreas BujaSergey ZeltynAvishai MandelbaumAnat SakovNoah GansHaipeng Shen
- Cited by
- Statistics and ProbabilityManagement Information SystemsStatistics, Probability and Uncertainty
- Journals
- The Annals of Statistics (5 papers)Journal of Quantitative Criminology (2 papers)Journal of Real Estate Literature (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Lawrence Brown
30 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Statistics and Probability 554
- Management Information Systems 417
- Statistics, Probability and Uncertainty 130
- Management Science and Operations Research 184
- Emergency Medical Services 77
Countries citing papers authored by Lawrence Brown
This map shows the geographic impact of Lawrence Brown'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 Lawrence Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Brown more than expected).
Fields of papers citing papers by Lawrence Brown
This network shows the impact of papers produced by Lawrence Brown. 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 Lawrence Brown. The network helps show where Lawrence Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lawrence Brown, 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 | 2022 | 27 | |
| 2 | 2019 | 24 | |
| 3 | 2019 | 3 | |
| 4 | Models as Approximations --- Part II: A General Theory of Model-Robust Regression | 2016 | 6 |
| 5 | 2016 | 10 | |
| 6 | The Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression | 2014 | 3 |
| 7 | Models as Approximations, Part I: A Conspiracy of Nonlinearity and Random Regressors in Linear Regression | 2014 | 8 |
| 8 | 2014 | 15 | |
| 9 | 2014 | 12 | |
| 10 | 2013 | 25 | |
| 11 | Optimal Estimation of Multidimensional Normal Means With an Unknown Variance | 2011 | 1 |
| 12 | 2009 | 43 | |
| 13 | 2009 | 55 | |
| 14 | 2004 | 1 | |
| 15 | 1999 | 58 | |
| 16 | 1998 | 4 | |
| 17 | 1993 | 1 | |
| 18 | 1989 | 2 | |
| 19 | 1980 | 6 | |
| 20 | 1973 | 2 |
About Lawrence Brown
Lawrence Brown is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Applied Mathematics, Artificial Intelligence and Geometry and Topology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (9 papers), Statistical Methods and Bayesian Inference (6 papers), Bayesian Methods and Mixture Models (3 papers), Bayesian Modeling and Causal Inference (3 papers), Advanced Statistical Process Monitoring (3 papers), Advanced Causal Inference Techniques (3 papers) and Random Matrices and Applications (2 papers). The work is most often cited by research in Statistics and Probability (554 citations), Management Information Systems (417 citations), Statistics, Probability and Uncertainty (130 citations), Management Science and Operations Research (184 citations) and Emergency Medical Services (77 citations). Lawrence Brown has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Linda Zhao, Richard A. Berk, Andreas Buja, Sergey Zeltyn, Avishai Mandelbaum, Anat Sakov, Noah Gans, Haipeng Shen, Kai Zhang and Edward I. George. Their work appears in journals such as The Annals of Statistics, Journal of Quantitative Criminology, Journal of Real Estate Literature, Biological Psychiatry and PharmacoEconomics.
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.