Robert E. Bechhofer

3.2k total citations · 1 hit paper
65 papers, 2.1k citations indexed

About

Robert E. Bechhofer is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Robert E. Bechhofer has authored 65 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 39 papers in Management Science and Operations Research and 24 papers in Statistics, Probability and Uncertainty. Recurrent topics in Robert E. Bechhofer's work include Optimal Experimental Design Methods (34 papers), Statistical Methods in Clinical Trials (24 papers) and Advanced Statistical Process Monitoring (23 papers). Robert E. Bechhofer is often cited by papers focused on Optimal Experimental Design Methods (34 papers), Statistical Methods in Clinical Trials (24 papers) and Advanced Statistical Process Monitoring (23 papers). Robert E. Bechhofer collaborates with scholars based in United States, Canada and United Kingdom. Robert E. Bechhofer's co-authors include Ajit C. Tamhane, Milton Sobel, David Goldsman, Thomas J. Santner, Charles W. Dunnett, J. Kiefer, Sarah D. Blumenthal, Matthew J. Sobel, Salah E. Elmaghraby 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

Robert E. Bechhofer

60 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances

1954 596 citations Robert E. Bechhofer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert E. Bechhofer United States	20	1.3k	1.1k	613	345	212	65	2.1k
Milton Sobel United States	25	800 0.6×	1.3k 1.2×	602 1.0×	556 1.6×	118 0.6×	110	2.5k
J. D. Esary United States	15	903 0.7×	1.1k 1.0×	551 0.9×	274 0.8×	90 0.4×	22	2.2k
Markos V. Koutras Greece	26	505 0.4×	1.2k 1.1×	749 1.2×	625 1.8×	120 0.6×	107	2.4k
James C. Fu Canada	22	325 0.3×	844 0.8×	499 0.8×	581 1.7×	164 0.8×	81	2.0k
David W. Walkup United States	16	672 0.5×	458 0.4×	82 0.1×	223 0.6×	385 1.8×	27	1.7k
J. N. Srivastava United States	19	1.1k 0.8×	444 0.4×	199 0.3×	145 0.4×	385 1.8×	63	1.5k
Ilya Gertsbakh Israel	22	200 0.2×	665 0.6×	545 0.9×	104 0.3×	62 0.3×	91	1.7k
S. S. Lavenberg United States	19	655 0.5×	169 0.2×	132 0.2×	118 0.3×	359 1.7×	37	2.2k
Rahul Mukerjee India	24	1.2k 1.0×	1.3k 1.2×	321 0.5×	299 0.9×	660 3.1×	184	2.5k
Richard F. Serfozo United States	22	576 0.5×	272 0.2×	49 0.1×	191 0.6×	187 0.9×	74	2.1k

Countries citing papers authored by Robert E. Bechhofer

Since Specialization

Citations

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

Fields of papers citing papers by Robert E. Bechhofer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Bechhofer. 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 Robert E. Bechhofer. The network helps show where Robert E. Bechhofer may publish in the future.

Co-authorship network of co-authors of Robert E. Bechhofer

This figure shows the co-authorship network connecting the top 25 collaborators of Robert E. Bechhofer. A scholar is included among the top collaborators of Robert E. Bechhofer 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 Robert E. Bechhofer. Robert E. Bechhofer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bechhofer, Robert E., et al.. (1989). A single–stage selection procedure for multi–factor multinomial experiments with multiplicativity. Communications in Statistics - Simulation and Computation. 18(1). 31–61. 1 indexed citations

Bechhofer, Robert E., Charles W. Dunnett, & Ajit C. Tamhane. (1987). Optimal Allocation of Observations in Subset Selection and Multiple Comparisons with a Control, and Associated Tables (With Application to Drug Screening). eCommons (Cornell University).

Bechhofer, Robert E. & David Goldsman. (1987). Truncation of the Bechhofer-Kiefer-Sobel sequential procedure for selecting the normal population which has the largest mean. Communications in Statistics - Simulation and Computation. 16(4). 1067–1092. 5 indexed citations

Bechhofer, Robert E. & Charles W. Dunnett. (1987). Subset selection for normal means in multi-factor experiments. Communication in Statistics- Theory and Methods. 16(8). 2277–2286. 1 indexed citations

Bechhofer, Robert E.. (1985). Selection and Ranking Procedures–Some Personal Reminiscences, and Thoughts about its Past, Present, and Future. American Journal of Mathematical and Management Sciences. 5(3-4). 201–234. 5 indexed citations

Bechhofer, Robert E., et al.. (1984). Closed sequential procedures for selecting the multinomial events which have the largest probabilities. Communication in Statistics- Theory and Methods. 13(24). 2997–3031. 10 indexed citations

Bechhofer, Robert E., Thomas J. Santner, & Ajit C. Tamhane. (1984). Design of experiments : ranking and selection : essays in honor of Robert E. Bechhofer. M. Dekker eBooks. 12 indexed citations

Bechhofer, Robert E. & Ajit C. Tamhane. (1983). Design of Experiments for Comparing Treatments With a Control: Tables of Optimal Allocations of Observations. Technometrics. 25(1). 87–95. 15 indexed citations

Bechhofer, Robert E. & Ajit C. Tamhane. (1981). Incomplete Block Designs for Comparing Treatments Wth a Control: General Theory. Technometrics. 23(1). 45–57. 70 indexed citations

10.

Bechhofer, Robert E. & Ajit C. Tamhane. (1979). Incomplete block designs for comparing treatments with a control (II): Optimal designs for p = 2(1)6; k = 2 and p = 3; k = 3. Sankhya B. 45. 193–224. 4 indexed citations

11.

Bechhofer, Robert E. & Bruce W. Turnbull. (1978). Two (k + 1)-Decision Selection Procedures for Comparing k Normal Means with a Specified Standard. Journal of the American Statistical Association. 73(362). 385–385. 16 indexed citations

12.

Bechhofer, Robert E.. (1977). Selection in factorial experiments. Winter Simulation Conference. 65–70. 8 indexed citations

13.

Bechhofer, Robert E. & Ajit C. Tamhane. (1974). An Iterated Integral Representation for a Multivariate Normal Integral Having Block Covariance Structure. Biometrika. 61(3). 615–615. 2 indexed citations

14.

Bechhofer, Robert E. & Ajit C. Tamhane. (1974). An iterated integral representation for a multivariate normal integral having block covariance structure. Biometrika. 61(3). 615–619. 7 indexed citations

15.

Bechhofer, Robert E., et al.. (1972). Optimal Allocation of Observations when Comparing Several Treatments with a Control, II: 2-Sided Comparisons. Technometrics. 14(2). 423–436. 15 indexed citations

16.

Bechhofer, Robert E.. (1970). Correction Note: An Undesirable Feature of a Sequential Multiple-Decision Procedure for Selecting the Best One of Several Normal Populations with a Common Unknown Variance. Biometrics. 26(2). 347–347. 3 indexed citations

17.

Bechhofer, Robert E.. (1967). A Two-Stage Subsampling Procedure for Ranking Means of Fimte Populations with an Application to Bulk Sampling Problems. Technometrics. 9(3). 355–364. 1 indexed citations

18.

Bechhofer, Robert E. & Saul Blumenthal. (1962). A Sequential Multiple-Decision Procedure for Selecting the Best One of Several Normal Populations with a Common Unknown Variance, II: Monte Carlo Sampling Results and New Computing Formulae. Biometrics. 18(1). 52–52. 14 indexed citations

19.

Bechhofer, Robert E.. (1960). A Multiplicative Model for Analyzing Variances Which are Affected by Several Factors. Journal of the American Statistical Association. 55(290). 245–264. 15 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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