Murray D. Burke

883 total citations
23 papers, 549 citations indexed

About

Murray D. Burke is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Murray D. Burke has authored 23 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 4 papers in Management Science and Operations Research and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Murray D. Burke's work include Statistical Methods and Inference (16 papers), Statistical Distribution Estimation and Applications (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Murray D. Burke is often cited by papers focused on Statistical Methods and Inference (16 papers), Statistical Distribution Estimation and Applications (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Murray D. Burke collaborates with scholars based in Canada, United Kingdom and Hungary. Murray D. Burke's co-authors include Lajos Horváth, Sándor Csörgő, KA MacLennan, G. Vaughan Hudson, B. Vaughan Hudson, DC Linch, Paul A. Clarke, David Cunningham, ME Hill and Francesca Di Stefano and has published in prestigious journals such as Blood, Biometrika and Probability Theory and Related Fields.

In The Last Decade

Murray D. Burke

23 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Murray D. Burke Canada 10 256 211 141 105 77 23 549
Zhenming Shun United States 9 258 1.0× 27 0.1× 87 0.6× 200 1.9× 175 2.3× 21 671
Shengyan Hong United States 12 90 0.4× 48 0.2× 332 2.4× 329 3.1× 209 2.7× 20 926
Anwar M. Hossain United States 12 85 0.3× 36 0.2× 146 1.0× 40 0.4× 50 0.6× 18 329
Bernard Asselain France 8 189 0.7× 30 0.1× 108 0.8× 11 0.1× 62 0.8× 8 464
DA Berry United States 5 215 0.8× 62 0.3× 208 1.5× 28 0.3× 110 1.4× 7 643
Agathe Guilloux France 9 58 0.2× 237 1.1× 309 2.2× 13 0.1× 90 1.2× 28 633
John H. Moon United States 8 90 0.4× 40 0.2× 188 1.3× 61 0.6× 147 1.9× 12 574
NM Hylton United States 5 194 0.8× 43 0.2× 117 0.8× 21 0.2× 90 1.2× 9 519
Zheng Yuan United States 12 280 1.1× 9 0.0× 31 0.2× 42 0.4× 60 0.8× 22 526
D. A. Berry United States 12 73 0.3× 106 0.5× 307 2.2× 26 0.2× 105 1.4× 27 695

Countries citing papers authored by Murray D. Burke

Since Specialization
Citations

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

Fields of papers citing papers by Murray D. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murray D. Burke. 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 Murray D. Burke. The network helps show where Murray D. Burke may publish in the future.

Co-authorship network of co-authors of Murray D. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Murray D. Burke. A scholar is included among the top collaborators of Murray D. Burke 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 Murray D. Burke. Murray D. Burke 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.
Lu, Xuewen, Pooneh Pordeli, Murray D. Burke, & Peter X.‐K. Song. (2016). Partially linear single-index proportional hazards model with current status data. Journal of Multivariate Analysis. 151. 14–36. 5 indexed citations
2.
Burke, Murray D., et al.. (2013). Change-Point Detection for General Nonparametric Regression Models. Open Journal of Statistics. 3(4). 261–267. 3 indexed citations
3.
Burke, Murray D.. (2010). Nonparametric estimation of a survival function under progressive Type-I multistage censoring. Journal of Statistical Planning and Inference. 141(2). 910–923. 4 indexed citations
4.
Burke, Murray D.. (2010). Approximations for a multivariate hybrid process with applications to change-point detection. Mathematical Methods of Statistics. 19(2). 121–135. 10 indexed citations
5.
Lu, Xuewen & Murray D. Burke. (2008). Nonparametric estimation of linear functionals of a bivariate distribution under univariate censoring. Journal of Statistical Planning and Inference. 138(10). 3238–3256. 5 indexed citations
6.
Lu, Xuewen & Murray D. Burke. (2004). Censored multiple regression by the method of average derivatives. Journal of Multivariate Analysis. 95(1). 182–205. 9 indexed citations
7.
Burke, Murray D.. (2000). Multivariate tests-of-fit and uniform confidence bands using a weighted bootstrap. Statistics & Probability Letters. 46(1). 13–20. 25 indexed citations
8.
9.
10.
Burke, Murray D. & Edit Gombay. (1991). The bootstrapped maximum likelihood estimator with an application. Statistics & Probability Letters. 12(5). 421–427. 6 indexed citations
11.
Burke, Murray D. & Edit Gombay. (1988). On goodness-of-fit and the bootstrap. Statistics & Probability Letters. 6(5). 287–293. 10 indexed citations
12.
Burke, Murray D.. (1988). Estimation of a Bivariate Distribution Function Under Random Censorship. Biometrika. 75(2). 379–379. 2 indexed citations
13.
Burke, Murray D.. (1988). Estimation of a bivariate distribution function under random censorship. Biometrika. 75(2). 379–382. 36 indexed citations
14.
Burke, Murray D.. (1988). AN ALMOST-SURE APPROXIMATION OF A MULTIVARIATE PRODUCT-LIMIT ESTIMATOR UNDER RANDOM CENSORSHIP. Statistics & Risk Modeling. 6(1-2). 4 indexed citations
15.
Burke, Murray D. & Lajos Horváth. (1986). Estimation of influence functions. Statistics & Probability Letters. 4(2). 81–85. 2 indexed citations
16.
Burke, Murray D.. (1983). Approximations of some hazard rate estimators in a competing risks model. Stochastic Processes and their Applications. 14(2). 157–174. 9 indexed citations
17.
Burke, Murray D., Sándor Csörgő, & Lajos Horváth. (1981). On random censorship : a collection of fifteen papers. 3 indexed citations
18.
Burke, Murray D., Sándor Csörgő, & Lajos Horváth. (1981). Strong approximations of some biometric estimates under random censorship. Probability Theory and Related Fields. 56(1). 87–112. 81 indexed citations
19.
Burke, Murray D.. (1977). On the multivariate two-sample problem using strong approximations of the EDF. Journal of Multivariate Analysis. 7(4). 491–511. 9 indexed citations
20.
Burke, Murray D. & Miklós Csörgő. (1974). Strong and weak approximations of some k-sample and estimated empirical and quantile processes : a collection of four papers. 1 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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