Moshe Shaked

10.9k total citations · 2 hit papers
170 papers, 7.5k citations indexed

About

Moshe Shaked is a scholar working on Statistics and Probability, Management Science and Operations Research and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Moshe Shaked has authored 170 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Statistics and Probability, 77 papers in Management Science and Operations Research and 57 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Moshe Shaked's work include Statistical Distribution Estimation and Applications (123 papers), Probability and Risk Models (72 papers) and Reliability and Maintenance Optimization (57 papers). Moshe Shaked is often cited by papers focused on Statistical Distribution Estimation and Applications (123 papers), Probability and Risk Models (72 papers) and Reliability and Maintenance Optimization (57 papers). Moshe Shaked collaborates with scholars based in United States, Italy and Spain. Moshe Shaked's co-authors include J. George Shanthikumar, Harry Joe, Thomas H. Savits, Marco Scarsini, ‎Baha-Eldin Khaledi, Henry W. Block, Jorge Navarro, Franco Pellerey, Asok K. Nanda and Albert W. Marshall and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Management Science.

In The Last Decade

Moshe Shaked

167 papers receiving 7.1k citations

Hit Papers

Stochastic Orders 1994 2026 2004 2015 2007 1994 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moshe Shaked United States 35 4.5k 3.0k 1.9k 1.6k 1.3k 170 7.5k
J. George Shanthikumar United States 50 3.4k 0.8× 3.8k 1.2× 1.7k 0.9× 2.1k 1.3× 974 0.8× 323 12.2k
Richard E. Barlow United States 33 4.5k 1.0× 2.0k 0.6× 3.1k 1.6× 4.4k 2.7× 460 0.4× 96 10.0k
Frank Proschan United States 50 8.2k 1.8× 4.0k 1.3× 4.2k 2.2× 6.1k 3.7× 1.3k 1.0× 175 15.2k
C. C. Heyde Australia 32 2.4k 0.5× 1.9k 0.6× 313 0.2× 353 0.2× 2.4k 1.9× 187 8.0k
Søren Asmussen Denmark 45 2.6k 0.6× 5.1k 1.7× 359 0.2× 411 0.2× 2.8k 2.2× 171 9.6k
Víctor Leiva Chile 46 3.5k 0.8× 667 0.2× 1.5k 0.8× 472 0.3× 541 0.4× 255 5.8k
Sidney I. Resnick United States 44 2.8k 0.6× 2.6k 0.9× 392 0.2× 106 0.1× 5.3k 4.1× 192 9.5k
Paul Glasserman United States 42 953 0.2× 2.4k 0.8× 560 0.3× 171 0.1× 5.2k 4.1× 209 8.5k
Nozer D. Singpurwalla United States 38 2.5k 0.6× 690 0.2× 1.7k 0.9× 2.2k 1.3× 159 0.1× 178 5.8k
Masaaki Kijima Japan 26 1.0k 0.2× 437 0.1× 496 0.3× 1.3k 0.8× 810 0.6× 128 3.4k

Countries citing papers authored by Moshe Shaked

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Shaked

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moshe Shaked

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Shaked. A scholar is included among the top collaborators of Moshe Shaked 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 Moshe Shaked. Moshe Shaked 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.
Scarsini, Marco, et al.. (2012). Some Notions of Multivariate Positive Dependence. SSRN Electronic Journal. 2 indexed citations
2.
Shaked, Moshe, Miguel Á. Sordo, & Alfonso Suárez‐Llorens. (2010). A class of location-independent variability orders, with applications. Journal of Applied Probability. 47(2). 407–425. 10 indexed citations
3.
Navarro, Jorge & Moshe Shaked. (2006). Hazard rate ordering of order statistics and systems. Journal of Applied Probability. 43(2). 391–408. 17 indexed citations
4.
Navarro, Jorge & Moshe Shaked. (2006). Hazard rate ordering of order statistics and systems. Journal of Applied Probability. 43(2). 391–408. 64 indexed citations
5.
Hu, Taizhong, et al.. (2006). Conditional orderings and positive dependence. Journal of Multivariate Analysis. 99(3). 358–371. 10 indexed citations
6.
Hu, Taizhong, ‎Baha-Eldin Khaledi, & Moshe Shaked. (2003). Multivariate hazard rate orders. Journal of Multivariate Analysis. 84(1). 173–189. 32 indexed citations
7.
Müller, Alfred, Marco Scarsini, & Moshe Shaked. (2002). The Newsvendor Game Has a Nonempty Core. SSRN Electronic Journal. 3 indexed citations
8.
Shaked, Moshe & J. George Shanthikumar. (1997). Supermodular Stochastic Orders and Positive Dependence of Random Vectors. Journal of Multivariate Analysis. 61(1). 86–101. 67 indexed citations
9.
Scarsini, Marco, et al.. (1996). Linkages: A Tool for the Construction of Multivariate Distributions with Given Nonoverlapping Multivariate Marginals. Journal of Multivariate Analysis. 56(1). 20–41. 29 indexed citations
10.
Li, Haijun & Moshe Shaked. (1995). On the first passage times for Markov processes with monotone convex transition kernels. Stochastic Processes and their Applications. 58(2). 205–216. 12 indexed citations
11.
Shaked, Moshe, J. George Shanthikumar, & Y. L. Tong. (1995). Parametric Schur Convexity and Arrangement Monotonicity Properties of Partial Sums. Journal of Multivariate Analysis. 53(2). 293–310. 20 indexed citations
12.
Shaked, Moshe & Y. L. Tong. (1990). Positive dependence of random variables with a common marginal distribution. Communication in Statistics- Theory and Methods. 19(11). 4299–4313. 1 indexed citations
13.
Shaked, Moshe & Y. L. Tong. (1988). Inequalities for probability contents of convex sets via geometric average. Journal of Multivariate Analysis. 24(2). 330–340. 4 indexed citations
14.
Shaked, Moshe & J. George Shanthikumar. (1987). Temporal stochastic convexity and concavity. Stochastic Processes and their Applications. 27. 1–20. 33 indexed citations
15.
Marshall, Albert W. & Moshe Shaked. (1986). Multivariate new better than used distributions: a survey. Scandinavian Journal of Statistics. 13(4). 277–290. 6 indexed citations
16.
Pereira, Carlos Alberto de Bragança, et al.. (1982). The influence of the sample on the posterior distribution. Communication in Statistics- Theory and Methods. 11(16). 1757–1768. 10 indexed citations
17.
Shaked, Moshe. (1982). A general theory of some positive dependence notions. Journal of Multivariate Analysis. 12(2). 199–218. 45 indexed citations
18.
Savits, Thomas H. & Moshe Shaked. (1981). Shock models and the MIFRA property. Stochastic Processes and their Applications. 11(3). 273–283. 7 indexed citations
19.
Shaked, Moshe. (1979). An estimator for the generalized hazard rate function. Communication in Statistics- Theory and Methods. 8(1). 17–33. 8 indexed citations
20.
Shaked, Moshe. (1978). Accelerated Life Testing for a Class of Linear Hazard Rate Type Distributions. Technometrics. 20(4). 457–466. 6 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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