Mark G. Low

1.4k total citations
29 papers, 812 citations indexed

About

Mark G. Low is a scholar working on Statistics and Probability, Control and Systems Engineering and Applied Mathematics. According to data from OpenAlex, Mark G. Low has authored 29 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 11 papers in Control and Systems Engineering and 6 papers in Applied Mathematics. Recurrent topics in Mark G. Low's work include Statistical Methods and Inference (23 papers), Control Systems and Identification (10 papers) and Advanced Statistical Methods and Models (7 papers). Mark G. Low is often cited by papers focused on Statistical Methods and Inference (23 papers), Control Systems and Identification (10 papers) and Advanced Statistical Methods and Models (7 papers). Mark G. Low collaborates with scholars based in United States and South Korea. Mark G. Low's co-authors include Lawrence D. Brown, Tommaso Cai, David L. Donoho, Sam Efromovich, Linda Zhao, Cun‐Hui Zhang, Xia Yin, Zongming Ma and Harrison H. Zhou and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Statistics and Probability Theory and Related Fields.

In The Last Decade

Mark G. Low

28 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark G. Low United States 14 581 187 128 120 113 29 812
Oleg Lepski France 13 489 0.8× 187 1.0× 162 1.3× 120 1.0× 98 0.9× 28 696
Richard Nickl United Kingdom 17 474 0.8× 261 1.4× 73 0.6× 102 0.8× 107 0.9× 36 749
Friedrich Liese Germany 9 336 0.6× 227 1.2× 66 0.5× 97 0.8× 94 0.8× 37 798
Michael Nussbaum Germany 10 320 0.6× 125 0.7× 58 0.5× 79 0.7× 84 0.7× 20 482
Richard C. Liu United States 11 374 0.6× 130 0.7× 55 0.4× 57 0.5× 46 0.4× 18 588
O. V. Lepskii 4 270 0.5× 99 0.5× 94 0.7× 80 0.7× 65 0.6× 8 446
Alexander Goldenshluger Israel 17 247 0.4× 154 0.8× 105 0.8× 61 0.5× 44 0.4× 41 645
Bodhisattva Sen United States 21 559 1.0× 195 1.0× 46 0.4× 73 0.6× 44 0.4× 55 1.0k
Michel Ledoux France 3 277 0.5× 177 0.9× 55 0.4× 206 1.7× 231 2.0× 5 900
Harald Luschgy Germany 15 178 0.3× 164 0.9× 302 2.4× 172 1.4× 198 1.8× 49 873

Countries citing papers authored by Mark G. Low

Since Specialization
Citations

This map shows the geographic impact of Mark G. Low'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 Mark G. Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark G. Low more than expected).

Fields of papers citing papers by Mark G. Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark G. Low. 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 Mark G. Low. The network helps show where Mark G. Low may publish in the future.

Co-authorship network of co-authors of Mark G. Low

This figure shows the co-authorship network connecting the top 25 collaborators of Mark G. Low. A scholar is included among the top collaborators of Mark G. Low 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 Mark G. Low. Mark G. Low 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.
Low, Mark G., et al.. (2015). AN ADAPTATION THEORY FOR NONPARAMETRIC CONFIDENCE INTERVALS1. 11 indexed citations
2.
Cai, Tommaso, Mark G. Low, & Zongming Ma. (2014). Adaptive Confidence Bands for Nonparametric Regression Functions. Journal of the American Statistical Association. 109(507). 1054–1070. 19 indexed citations
3.
Cai, Tommaso, Mark G. Low, & Xia Yin. (2013). Adaptive confidence intervals for regression functions under shape constraints. The Annals of Statistics. 41(2). 20 indexed citations
4.
Cai, Tommaso, Mark G. Low, & Linda Zhao. (2009). Sharp adaptive estimation by a blockwise method. Journal of nonparametric statistics. 21(7). 839–850. 10 indexed citations
5.
Cai, Tommaso, Mark G. Low, & Linda Zhao. (2007). Trade-offs between global and local risks in nonparametric function estimation. Bernoulli. 13(1). 4 indexed citations
6.
Cai, Tommaso & Mark G. Low. (2005). Adaptive estimation of linear functionals under different performance measures. Bernoulli. 11(2). 9 indexed citations
7.
Cai, Tommaso & Mark G. Low. (2005). Nonquadratic estimators of a quadratic functional. The Annals of Statistics. 33(6). 28 indexed citations
8.
Cai, Tommaso & Mark G. Low. (2005). Adaptation under probabilistic error for estimating linear functionals. Journal of Multivariate Analysis. 97(1). 231–245. 2 indexed citations
9.
Cai, Tommaso & Mark G. Low. (2003). A note on nonparametric estimation of linear functionals. The Annals of Statistics. 31(4). 9 indexed citations
10.
Low, Mark G., et al.. (2002). Estimating monotone functions. Statistics & Probability Letters. 56(4). 361–367. 5 indexed citations
11.
Brown, Lawrence D., Mark G. Low, & Linda Zhao. (1997). Superefficiency in nonparametric function estimation. The Annals of Statistics. 25(6). 38 indexed citations
12.
Brown, Lawrence D. & Mark G. Low. (1996). A constrained risk inequality with applications to nonparametric functional estimation. The Annals of Statistics. 24(6). 76 indexed citations
13.
Brown, Lawrence D. & Mark G. Low. (1996). Asymptotic equivalence of nonparametric regression and white noise. The Annals of Statistics. 24(6). 229 indexed citations
14.
Efromovich, Sam & Mark G. Low. (1996). On optimal adaptive estimation of a quadratic functional. The Annals of Statistics. 24(3). 23 indexed citations
15.
Efromovich, Sam & Mark G. Low. (1996). On Bickel and Ritov's conjecture about adaptive estimation of the integral of the square of density derivative. The Annals of Statistics. 24(2). 12 indexed citations
16.
Efromovich, Sam & Mark G. Low. (1994). Adaptive estimates of linear functionals. Probability Theory and Related Fields. 98(2). 261–275. 18 indexed citations
17.
Low, Mark G.. (1993). Renormalizing Upper and Lower Bounds for Integrated Risk in the White Noise Model:. The Annals of Statistics. 21(2). 7 indexed citations
18.
Donoho, David L. & Mark G. Low. (1992). Renormalization Exponents and Optimal Pointwise Rates of Convergence. The Annals of Statistics. 20(2). 75 indexed citations
19.
Low, Mark G.. (1989). Local convergence of nonparametric density estimation problems to Gaussian shift experiments on a Hilbert space. UC Berkeley. 1 indexed citations
20.
Low, Mark G.. (1968). Real zeros of the Dedekind zeta function of an imaginary quadratic field. Acta Arithmetica. 14(2). 117–140. 21 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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