Milton Sobel

4.3k total citations
110 papers, 2.5k citations indexed

About

Milton Sobel is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Milton Sobel has authored 110 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Statistics and Probability, 36 papers in Artificial Intelligence and 22 papers in Statistics, Probability and Uncertainty. Recurrent topics in Milton Sobel's work include Advanced Statistical Methods and Models (24 papers), Statistical Methods in Clinical Trials (20 papers) and Bayesian Methods and Mixture Models (19 papers). Milton Sobel is often cited by papers focused on Advanced Statistical Methods and Models (24 papers), Statistical Methods in Clinical Trials (20 papers) and Bayesian Methods and Mixture Models (19 papers). Milton Sobel collaborates with scholars based in United States and Canada. Milton Sobel's co-authors include Benjamin Epstein, Charles W. Dunnett, Shanti S. Gupta, Robert E. Bechhofer, Ingram Olkin, Jean Dickinson Gibbons, George H. Weiss, Benjamin Epstein, Robert M. Elashoff and Jack Carl Kiefer and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Milton Sobel

101 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milton Sobel United States 25 1.3k 800 602 556 336 110 2.5k
Russell Cheng United Kingdom 21 785 0.6× 653 0.8× 552 0.9× 253 0.5× 128 0.4× 92 1.9k
Vijayan N. Nair United States 26 554 0.4× 847 1.1× 720 1.2× 204 0.4× 15 0.0× 77 2.4k
Wolfgang Stadje Germany 21 380 0.3× 514 0.6× 66 0.1× 134 0.2× 36 0.1× 179 1.7k
Gerald S. Rogers United States 13 837 0.6× 391 0.5× 336 0.6× 455 0.8× 11 0.0× 30 1.9k
H. D. Brunk United States 19 1.1k 0.8× 353 0.4× 219 0.4× 557 1.0× 9 0.0× 50 2.3k
Huawen Liu China 32 572 0.4× 1.7k 2.1× 43 0.1× 1.4k 2.4× 150 0.4× 170 3.7k
Christophe Chesneau France 29 2.3k 1.7× 409 0.5× 1.1k 1.8× 385 0.7× 18 0.1× 399 3.4k
Pranab K. Sen United States 16 674 0.5× 218 0.3× 269 0.4× 198 0.4× 170 0.5× 43 1.2k
Yi‐Ching Yao United States 12 622 0.5× 113 0.1× 181 0.3× 216 0.4× 15 0.0× 76 1.3k
Anthony G. Pakes Australia 27 1.2k 0.9× 969 1.2× 71 0.1× 522 0.9× 6 0.0× 184 2.8k

Countries citing papers authored by Milton Sobel

Since Specialization
Citations

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

Fields of papers citing papers by Milton Sobel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milton Sobel. 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 Milton Sobel. The network helps show where Milton Sobel may publish in the future.

Co-authorship network of co-authors of Milton Sobel

This figure shows the co-authorship network connecting the top 25 collaborators of Milton Sobel. A scholar is included among the top collaborators of Milton Sobel 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 Milton Sobel. Milton Sobel 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.
Graver, Jack E. & Milton Sobel. (2005). You May Rely on the Reliability Polynomial for Much More Than You Might Think. Communication in Statistics- Theory and Methods. 34(6). 1411–1422. 3 indexed citations
2.
Chen, Pinyuen, S. Panchapakesan, & Milton Sobel. (1994). Selecting among the multinomial losers. Sequential Analysis. 13(3). 117–200. 2 indexed citations
3.
Sobel, Milton & K. Frankowski. (1994). The 500th Anniversary of the Sharing Problem (The Oldest Problem in the Theory of Probability). American Mathematical Monthly. 101(9). 833–847. 4 indexed citations
4.
Sobel, Milton, et al.. (1992). Quota sampling for multinomial via Dirichlet. Journal of Statistical Planning and Inference. 33(2). 157–164. 15 indexed citations
5.
Pasternack, Bernard S., Milton Sobel, & James B. Thomas. (1987). Group-testing, halving procedures, and binary search. Communication in Statistics- Theory and Methods. 16(10). 2851–2871. 2 indexed citations
6.
Sobel, Milton, et al.. (1984). On an Application of Statistical Ranking and Selection Tables to the Identification of the Learning Disabled. Journal of Educational Statistics. 9(3). 215–226. 3 indexed citations
7.
Rao, J. S. & Milton Sobel. (1980). Incomplete Dirichlet integrals with applications to ordered uniform spacings. Journal of Multivariate Analysis. 10(4). 603–610. 19 indexed citations
8.
Gibbons, Jean Dickinson, Ingram Olkin, & Milton Sobel. (1979). An Introduction to Ranking and Selection. The American Statistician. 33(4). 185–195. 15 indexed citations
9.
Gibbons, Jean Dickinson, Ingram Olkin, & Milton Sobel. (1979). An Introduction to Ranking and Selection. The American Statistician. 33(4). 185–185. 1 indexed citations
10.
Olkin, Ingram & Milton Sobel. (1979). Admissible and Minimax Estimation for the Multinomial Distribution and for K Independent Binomial Distributions. The Annals of Statistics. 7(2). 18 indexed citations
11.
Gibbons, Jean Dickinson, Ingram Olkin, & Milton Sobel. (1978). Baseball Competitions—Are Enough Games Played?. The American Statistician. 32(3). 89–95. 9 indexed citations
12.
Sobel, Milton. (1977). Selecting the population with the smallest dispersion in a nonparametric setting. Winter Simulation Conference. 102–114. 2 indexed citations
13.
Sobel, Milton & George H. Weiss. (1972). Play-the-Winner Rule and Inverse Sampling for Selecting the Best of $k \geqq 3$ Binomial Populations. The Annals of Mathematical Statistics. 43(6). 1808–1826. 14 indexed citations
14.
Sobel, Milton & George H. Weiss. (1971). Play-the-Winner Rule and Inverse Sampling in Selecting the Better of Two Binomial Populations. Journal of the American Statistical Association. 66(335). 545–545. 6 indexed citations
15.
Sobel, Milton, et al.. (1971). Finding a Single Defective in Binomial Group-Testing. Journal of the American Statistical Association. 66(336). 824–824. 4 indexed citations
16.
Sobel, Milton, et al.. (1970). Group-Testing with at most c Tests for Finite c and c? ?. University of Minnesota Digital Conservancy (University of Minnesota). 1 indexed citations
17.
Gupta, Shanti S. & Milton Sobel. (1962). On the smallest of several correlated F statistics. Biometrika. 49(3-4). 509–523. 42 indexed citations
18.
Epstein, Benjamin & Milton Sobel. (1955). Sequential Life Tests in the Exponential Case. The Annals of Mathematical Statistics. 26(1). 82–93. 87 indexed citations
19.
Dunnett, Charles W. & Milton Sobel. (1954). A BIVARIATE GENERALIZATION OF STUDENT'S t-DISTRIBUTION, WITH TABLES FOR CERTAIN SPECIAL CASES. Biometrika. 41(1-2). 153–169. 193 indexed citations
20.
Bechhofer, Robert E., Charles W. Dunnett, & Milton Sobel. (1954). A Two-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with a Common Unknown Variance. Biometrika. 41(1/2). 170–170. 24 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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