Lawrence Brown

5.5k total citations · 1 hit paper
31 papers, 1.5k citations indexed

About

Lawrence Brown is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Lawrence Brown has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 3 papers in Applied Mathematics. Recurrent topics in Lawrence Brown's work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (9 papers) and Statistical Methods and Bayesian Inference (6 papers). Lawrence Brown is often cited by papers focused on Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (9 papers) and Statistical Methods and Bayesian Inference (6 papers). Lawrence Brown collaborates with scholars based in United States, United Kingdom and Israel. Lawrence Brown's 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 and has published in prestigious journals such as Journal of the American Statistical Association, Biological Psychiatry and The Annals of Statistics.

In The Last Decade

Lawrence Brown

30 papers receiving 1.4k citations

Hit Papers

Statistical Analysis of a Telephone Call Center 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lawrence Brown United States 13 554 417 203 184 167 31 1.5k
Jacques Janssen Italy 17 134 0.2× 76 0.2× 98 0.5× 255 1.4× 59 0.4× 70 1.1k
Lakhdar Aggoun Oman 8 82 0.1× 140 0.3× 352 1.7× 171 0.9× 154 0.9× 41 1.2k
Alan J. Miller United States 17 179 0.3× 54 0.1× 178 0.9× 229 1.2× 50 0.3× 52 1.5k
William G. Marchal United States 14 85 0.2× 234 0.6× 46 0.2× 129 0.7× 93 0.6× 28 606
P. J. Harrison United Kingdom 16 419 0.8× 56 0.1× 298 1.5× 580 3.2× 22 0.1× 35 1.5k
Zhang Li China 25 898 1.6× 47 0.1× 252 1.2× 1.1k 6.1× 24 0.1× 210 2.3k
Chun Wang United States 25 359 0.6× 26 0.1× 394 1.9× 886 4.8× 420 2.5× 192 1.9k
Tamraparni Dasu United States 12 123 0.2× 94 0.2× 397 2.0× 343 1.9× 260 1.6× 34 959
Stephen G. MacDonell New Zealand 26 22 0.0× 175 0.4× 468 2.3× 96 0.5× 296 1.8× 123 2.3k
William S. Griffith United States 17 527 1.0× 100 0.2× 41 0.2× 171 0.9× 67 0.4× 59 1.5k

Countries citing papers authored by Lawrence Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Lawrence Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Brown. A scholar is included among the top collaborators of Lawrence Brown 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 Lawrence Brown. Lawrence Brown 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
1.
Brown, Lawrence. (2022). The Black Butterfly. Johns Hopkins University Press eBooks. 27 indexed citations
2.
Buja, Andreas, Lawrence Brown, Arun Kumar Kuchibhotla, et al.. (2019). Models as Approximations II: A Model-Free Theory of Parametric Regression. Statistical Science. 34(4). 24 indexed citations
3.
Moore, A. M. T., Marko Menđušić, Lawrence Brown, et al.. (2019). Early Farming in Dalmatia. Archaeopress Publishing Ltd eBooks. 3 indexed citations
4.
Buja, Andreas, et al.. (2016). Models as Approximations --- Part II: A General Theory of Model-Robust Regression. arXiv (Cornell University). 6 indexed citations
5.
Xie, Xianchao, S. C. Kou, & Lawrence Brown. (2016). Optimal shrinkage estimation of mean parameters in family of distributions with quadratic variance. The Annals of Statistics. 44(2). 564–597. 10 indexed citations
6.
Buja, Andreas, Richard A. Berk, Lawrence Brown, et al.. (2014). The Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression. arXiv (Cornell University). 3 indexed citations
7.
Buja, Andreas, Richard A. Berk, Lawrence Brown, et al.. (2014). Models as Approximations, Part I: A Conspiracy of Nonlinearity and Random Regressors in Linear Regression. arXiv (Cornell University). 8 indexed citations
8.
Berk, Richard A., Lawrence Brown, Andreas Buja, et al.. (2014). Misspecified Mean Function Regression. Sociological Methods & Research. 43(3). 422–451. 15 indexed citations
9.
Buja, Andreas & Lawrence Brown. (2014). Discussion: “A significance test for the lasso”. The Annals of Statistics. 42(2). 12 indexed citations
10.
Berk, Richard A., Emil Pitkin, Lawrence Brown, et al.. (2013). Covariance Adjustments for the Analysis of Randomized Field Experiments. Evaluation Review. 37(3-4). 170–196. 25 indexed citations
11.
Brown, Lawrence & Xu Han. (2011). Optimal Estimation of Multidimensional Normal Means With an Unknown Variance. The Annals of Statistics. 1. 1 indexed citations
12.
Brown, Lawrence, et al.. (2009). The root–unroot algorithm for density estimation as implemented via wavelet block thresholding. Probability Theory and Related Fields. 146(3-4). 43 indexed citations
13.
Berk, Richard A., Lawrence Brown, & Linda Zhao. (2009). Statistical Inference After Model Selection. Journal of Quantitative Criminology. 26(2). 217–236. 55 indexed citations
14.
Brown, Lawrence, et al.. (2004). Behind the Veil: Behind Brown. OAH Magazine of History. 18(2). 38–42. 1 indexed citations
15.
Warner, Rachel, et al.. (1999). Retinal function as a marker for cell membrane omega–3 fatty acid depletion in schizophrenia: a pilot study. Biological Psychiatry. 45(9). 1138–1142. 58 indexed citations
16.
Brown, Lawrence. (1998). The Evolution of Managed Care in the US. PharmacoEconomics. 14(Supplement 1). 37–43. 4 indexed citations
17.
Brown, Lawrence. (1993). To the Editor. The Journal of Trauma: Injury, Infection, and Critical Care. 35(6). 971–971. 1 indexed citations
18.
Avram, Florin & Lawrence Brown. (1989). A Generalized Holder Inequality and a Generalized Szego Theorem. Proceedings of the American Mathematical Society. 107(3). 687–687. 2 indexed citations
19.
Brown, Lawrence. (1980). Examples of Berger's Phenomenon in the Estimation of Independent Normal Means. The Annals of Statistics. 8(3). 6 indexed citations
20.
Brown, Lawrence. (1973). . Indiana University Mathematics Journal. 23(5). 429–429. 2 indexed citations

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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