Harold B. Sackrowitz

1.4k total citations
85 papers, 847 citations indexed

About

Harold B. Sackrowitz is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Harold B. Sackrowitz has authored 85 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Statistics and Probability, 28 papers in Management Science and Operations Research and 22 papers in Artificial Intelligence. Recurrent topics in Harold B. Sackrowitz's work include Statistical Methods in Clinical Trials (32 papers), Statistical Methods and Bayesian Inference (27 papers) and Advanced Statistical Methods and Models (20 papers). Harold B. Sackrowitz is often cited by papers focused on Statistical Methods in Clinical Trials (32 papers), Statistical Methods and Bayesian Inference (27 papers) and Advanced Statistical Methods and Models (20 papers). Harold B. Sackrowitz collaborates with scholars based in United States, Netherlands and Germany. Harold B. Sackrowitz's co-authors include Arthur Cohen, Ester Samuel‐Cahn, J. H. B. Kemperman, Vance W. Berger, Kenneth S. Miller, William E. Strawderman, A. M. Cohen, David Madigan, Trefor P. Williams and John E. Kolassa and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Management Science.

In The Last Decade

Harold B. Sackrowitz

81 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harold B. Sackrowitz United States 15 679 227 191 125 46 85 847
Jin‐Guan Lin China 15 455 0.7× 199 0.9× 158 0.8× 47 0.4× 71 1.5× 125 678
Mogens Bladt Denmark 16 264 0.4× 205 0.9× 110 0.6× 61 0.5× 70 1.5× 42 686
Jack C. Lee Taiwan 14 422 0.6× 68 0.3× 272 1.4× 53 0.4× 97 2.1× 24 703
D. Nolan United States 9 268 0.4× 29 0.1× 116 0.6× 60 0.5× 28 0.6× 13 440
Shurong Zheng China 14 471 0.7× 43 0.2× 202 1.1× 16 0.1× 96 2.1× 57 657
Evdokia Xekalaki Greece 10 208 0.3× 74 0.3× 159 0.8× 127 1.0× 122 2.7× 58 526
Xin Dang United States 11 146 0.2× 69 0.3× 190 1.0× 49 0.4× 27 0.6× 44 462
G. D. Richardson United States 17 201 0.3× 346 1.5× 70 0.4× 14 0.1× 51 1.1× 80 809
Lihua Lei United States 14 222 0.3× 37 0.2× 145 0.8× 20 0.2× 21 0.5× 33 474
J. Spragins United States 10 160 0.2× 32 0.1× 191 1.0× 22 0.2× 26 0.6× 36 520

Countries citing papers authored by Harold B. Sackrowitz

Since Specialization
Citations

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

Fields of papers citing papers by Harold B. Sackrowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold B. Sackrowitz. 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 Harold B. Sackrowitz. The network helps show where Harold B. Sackrowitz may publish in the future.

Co-authorship network of co-authors of Harold B. Sackrowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Harold B. Sackrowitz. A scholar is included among the top collaborators of Harold B. Sackrowitz 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 Harold B. Sackrowitz. Harold B. Sackrowitz 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.
Cohen, Arthur, et al.. (2011). Consistent multiple testing for change points. Journal of Multivariate Analysis. 102(10). 1339–1343. 8 indexed citations
2.
Cohen, Arthur, et al.. (2009). Admissible, consistent multiple testing with applications including variable selection. Electronic Journal of Statistics. 3(none). 4 indexed citations
3.
Cohen, Arthur & Harold B. Sackrowitz. (2008). MULTIPLE TESTING OF TWO-SIDED ALTERNATIVES WITH DEPENDENT DATA. Statistica Sinica. 18(4). 1593–1602. 6 indexed citations
4.
Cohen, Arthur & Harold B. Sackrowitz. (2006). More on the inadmissibility of step-up. Journal of Multivariate Analysis. 98(3). 481–492. 12 indexed citations
5.
Cohen, Arthur, John E. Kolassa, & Harold B. Sackrowitz. (2004). A Test for Homogeneity of Odds Ratios in Ordered 2 × 2 Tables. Biometrical Journal. 46(6). 633–641. 2 indexed citations
6.
Sackrowitz, Harold B.. (2003). Statistical Decision Theory. Journal of the American Statistical Association. 98(462). 492–492. 1 indexed citations
7.
Cohen, Arthur & Harold B. Sackrowitz. (2002). Inference for the model of several treatments and a control. Journal of Statistical Planning and Inference. 107(1-2). 89–101. 11 indexed citations
8.
Cohen, Arthur, et al.. (2000). Testing whether treatment is ‘better’ than control with ordered categorical data: an evaluation of new methodology. Statistics in Medicine. 19(19). 2699–2712. 10 indexed citations
9.
Cohen, Arthur, J. H. B. Kemperman, & Harold B. Sackrowitz. (2000). Properties of Likelihood Inference for Order Restricted Models. Journal of Multivariate Analysis. 72(1). 50–77. 20 indexed citations
10.
Sackrowitz, Harold B. & Ester Samuel‐Cahn. (1999). P Values as Random Variables—Expected P Values. The American Statistician. 53(4). 326–331. 51 indexed citations
11.
Berger, Vance W. & Harold B. Sackrowitz. (1997). Improving Tests for Superior Treatment in Contingency Tables. Journal of the American Statistical Association. 92(438). 700–705. 11 indexed citations
12.
Cohen, Aviad, Harold B. Sackrowitz, & Ester Samuel‐Cahn. (1995). Cone Order Association. Journal of Multivariate Analysis. 55(2). 320–330. 3 indexed citations
13.
Cohen, Arthur & Harold B. Sackrowitz. (1995). Inadmissibility of some tests for order-restricted alternatives. Statistics & Probability Letters. 24(2). 153–156. 3 indexed citations
14.
Cohen, A. M., J. H. B. Kemperman, & Harold B. Sackrowitz. (1993). Unbiased Tests for Normal Order Restricted Hypotheses. Journal of Multivariate Analysis. 46(1). 139–153. 11 indexed citations
15.
Cohen, Arthur & Harold B. Sackrowitz. (1993). Inadmissibility of Studentized Tests for Normal Order Restricted Models. The Annals of Statistics. 21(2). 7 indexed citations
16.
Cohen, Arthur & Harold B. Sackrowitz. (1992). An Evaluation of Some Tests of Trend in Contingency Tables. Journal of the American Statistical Association. 87(418). 470–475. 19 indexed citations
17.
Cohen, Arthur & Harold B. Sackrowitz. (1991). Tests for independence in contingency tables with ordered categories. Journal of Multivariate Analysis. 36(1). 56–67. 6 indexed citations
18.
Cohen, Arthur & Harold B. Sackrowitz. (1991). Constructing unbiased tests for homogeneity and goodness of fit. Statistics & Probability Letters. 12(4). 351–355. 2 indexed citations
19.
Cohen, Arthur & Harold B. Sackrowitz. (1987). Admissibility of goodness of fit tests for discrete exponential families. Statistics & Probability Letters. 5(1). 1–3. 1 indexed citations
20.
Cohen, Arthur & Harold B. Sackrowitz. (1975). Unbiasedness of the Chi-Square, Likelihood Ratio, and Other Goodness of Fit Tests for the Equal Cell Case. The Annals of Statistics. 3(4). 35 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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