Shelemyahu Zacks

2.9k total citations
61 papers, 1.8k citations indexed

About

Shelemyahu Zacks is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Shelemyahu Zacks has authored 61 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 13 papers in Statistics, Probability and Uncertainty. Recurrent topics in Shelemyahu Zacks's work include Advanced Statistical Process Monitoring (13 papers), Stochastic processes and statistical mechanics (10 papers) and Diffusion and Search Dynamics (9 papers). Shelemyahu Zacks is often cited by papers focused on Advanced Statistical Process Monitoring (13 papers), Stochastic processes and statistical mechanics (10 papers) and Diffusion and Search Dynamics (9 papers). Shelemyahu Zacks collaborates with scholars based in United States, Italy and Israel. Shelemyahu Zacks's co-authors include J. K. Ord, André Rogatko, James S. Babb, Ron S. Kenett, Loren Cobb, Heleno Bolfarine, Thomas C. Gard, David R. Bellhouse, David Perry and Wolfgang Stadje and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Shelemyahu Zacks

56 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shelemyahu Zacks United States	17	770	448	299	200	198	61	1.8k
Campbell B. Read United States	11	700 0.9×	270 0.6×	354 1.2×	308 1.5×	156 0.8×	37	2.4k
Andrew L. Rukhin United States	21	889 1.2×	219 0.5×	410 1.4×	617 3.1×	185 0.9×	160	2.6k
David Cox United Kingdom	18	942 1.2×	370 0.8×	319 1.1×	325 1.6×	383 1.9×	42	2.7k
Sheldon M. Ross	3	571 0.7×	620 1.4×	310 1.0×	329 1.6×	210 1.1×	4	3.5k
Leandro Pardo Spain	20	1.3k 1.7×	247 0.6×	283 0.9×	486 2.4×	106 0.5×	202	2.2k
John E. Angus United States	19	659 0.9×	360 0.8×	304 1.0×	336 1.7×	379 1.9×	82	2.6k
Morris L. Eaton United States	22	1.2k 1.5×	446 1.0×	270 0.9×	536 2.7×	141 0.7×	71	2.3k
Thomas Sellke United States	12	961 1.2×	291 0.6×	424 1.4×	400 2.0×	279 1.4×	27	2.1k
Harshinder Singh India	24	1.1k 1.5×	284 0.6×	536 1.8×	357 1.8×	101 0.5×	79	2.2k
Arjun K. Gupta United States	16	1.0k 1.3×	248 0.6×	318 1.1×	442 2.2×	118 0.6×	97	1.9k

Countries citing papers authored by Shelemyahu Zacks

Since Specialization

Citations

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

Fields of papers citing papers by Shelemyahu Zacks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shelemyahu Zacks

This figure shows the co-authorship network connecting the top 25 collaborators of Shelemyahu Zacks. A scholar is included among the top collaborators of Shelemyahu Zacks 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 Shelemyahu Zacks. Shelemyahu Zacks 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

1.

Kenett, Ron S., Shelemyahu Zacks, & Peter Gedeck. (2023). Industrial Statistics. 4 indexed citations

2.

Zacks, Shelemyahu, et al.. (2022). Two-stage and sequential unbiased estimation of N in binomial trials, when the probability of success p is unknown. Sequential Analysis. 41(3). 275–284. 1 indexed citations

3.

Zacks, Shelemyahu, et al.. (2016). Two-stage and sequential estimation of parameterNof binomial distribution whenpis known. Sequential Analysis. 35(4). 440–452. 4 indexed citations

4.

Crescenzo, Antonio Di, et al.. (2015). Compound Poisson Process with a Poisson Subordinator. Journal of Applied Probability. 52(2). 360–374. 2 indexed citations

5.

Zacks, Shelemyahu. (2012). Distribution of the Total Time in a Mode of an Alternating Renewal Process with Applications. Sequential Analysis. 31(3). 397–408. 6 indexed citations

6.

Zacks, Shelemyahu. (2008). Stage‐Wise Adaptive Designs. Wiley series in probability and statistics. 53 indexed citations

7.

Boxma, Onno, David Perry, Wolfgang Stadje, & Shelemyahu Zacks. (2006). A Markovian growth-collapse model. Advances in Applied Probability. 38(1). 221–243. 12 indexed citations

8.

Boxma, Onno, David Perry, Wolfgang Stadje, & Shelemyahu Zacks. (2006). A Markovian growth-collapse model. Advances in Applied Probability. 38(1). 221–243. 44 indexed citations

9.

Beck, Matthias, Sinai Robins, & Shelemyahu Zacks. (2005). Higher-dimensional Dedekind sums and their bounds arising from the discrete diagonal of the n-cube. Advances in Applied Mathematics. 36(1). 1–29. 1 indexed citations

10.

Zacks, Shelemyahu, et al.. (2005). Inference on the Common Variance of Correlated Normal Random Variables. Communication in Statistics- Theory and Methods. 34(7). 1517–1531. 5 indexed citations

11.

Beck, Matthias, David M. Einstein, & Shelemyahu Zacks. (2003). Some Experimental Results on the Frobenius Problem. Experimental Mathematics. 12(3). 263–269. 7 indexed citations

12.

Lauretto, Marcelo de Souza, Carlos Alberto de Bragança Pereira, Julio Michael Stern, & Shelemyahu Zacks. (2003). Full Bayesian significance test applied to multivariate normal structure models. PhilPapers (PhilPapers Foundation). 16 indexed citations

13.

Beck, Matthias & Shelemyahu Zacks. (2003). Refined upper bounds for the linear Diophantine problem of Frobenius. Advances in Applied Mathematics. 32(3). 454–467. 6 indexed citations

14.

Zacks, Shelemyahu. (2002). In the footsteps of Basu: The predictive modelling approach to sampling from finite population. 64(3). 532–544. 1 indexed citations

15.

Babb, James S., André Rogatko, & Shelemyahu Zacks. (1998). Cancer phase I clinical trials: efficient dose escalation with overdose control. Statistics in Medicine. 17(10). 1103–1120. 386 indexed citations

16.

Bolfarine, Heleno & Shelemyahu Zacks. (1992). Prediction Theory for Finite Populations. Springer series in statistics. 33 indexed citations

17.

Zacks, Shelemyahu. (1992). Introduction to Reliability Analysis. CERN Document Server (European Organization for Nuclear Research). 67 indexed citations

18.

Zacks, Shelemyahu & Thomas C. Gard. (1989). Introduction to Stochastic Differential Equations.. Journal of the American Statistical Association. 84(408). 1104–1104. 53 indexed citations

19.

Cobb, Loren & Shelemyahu Zacks. (1985). Applications of Catastrophe Theory for Statistical Modeling in the Biosciences. Journal of the American Statistical Association. 80(392). 793–802. 80 indexed citations

20.

Cobb, Loren & Shelemyahu Zacks. (1985). Applications of Catastrophe Theory for Statistical Modeling in the Biosciences. Journal of the American Statistical Association. 80(392). 793–793. 18 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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