Gregory Gurevich

474 total citations
41 papers, 310 citations indexed

About

Gregory Gurevich is a scholar working on Statistics and Probability, Management Information Systems and Statistics, Probability and Uncertainty. According to data from OpenAlex, Gregory Gurevich has authored 41 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 9 papers in Management Information Systems and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Gregory Gurevich's work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (7 papers) and Advanced Statistical Process Monitoring (7 papers). Gregory Gurevich is often cited by papers focused on Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (7 papers) and Advanced Statistical Process Monitoring (7 papers). Gregory Gurevich collaborates with scholars based in Israel and United States. Gregory Gurevich's co-authors include Albert Vexler, Doron Kliger, Ori Levy, Zohar Laslo, Jihnhee Yu, Abraham Haim, Baruch Keren, Alan D. Hutson, Yossi Hadad and Bernard Weiner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Journal of Banking & Finance.

In The Last Decade

Gregory Gurevich

36 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Gurevich Israel 9 139 67 66 63 35 41 310
Demián Pouzo United States 10 228 1.6× 203 3.0× 129 2.0× 48 0.8× 21 0.6× 27 487
Ryo Okui Japan 13 266 1.9× 285 4.3× 82 1.2× 107 1.7× 36 1.0× 43 685
Guorui Bian Singapore 9 139 1.0× 96 1.4× 157 2.4× 92 1.5× 27 0.8× 15 308
Juan M. Rodríguez‐Póo Spain 12 154 1.1× 198 3.0× 78 1.2× 49 0.8× 11 0.3× 43 409
Faustino Prieto Spain 11 97 0.7× 89 1.3× 84 1.3× 83 1.3× 30 0.9× 25 274
Silvia Mayoral Spain 8 39 0.3× 83 1.2× 109 1.7× 112 1.8× 16 0.5× 40 243
Andrey L. Vasnev Australia 8 44 0.3× 145 2.2× 74 1.1× 164 2.6× 14 0.4× 37 374
David H. Richardson United States 12 157 1.1× 104 1.6× 41 0.6× 40 0.6× 16 0.5× 28 402
Alexandru V. Asimit United Kingdom 12 62 0.4× 310 4.6× 198 3.0× 419 6.7× 28 0.8× 59 534
Wei Lan China 12 131 0.9× 114 1.7× 66 1.0× 26 0.4× 11 0.3× 54 392

Countries citing papers authored by Gregory Gurevich

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Gurevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Gurevich

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Gurevich. A scholar is included among the top collaborators of Gregory Gurevich 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 Gregory Gurevich. Gregory Gurevich 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.
Gurevich, Gregory. (2019). Ignorance is strength: May human mind’s unique capabilities stem from its limitations?. Consciousness and Cognition. 69. 1–13. 1 indexed citations
2.
Gurevich, Gregory & Albert Vexler. (2018). A density based empirical likelihood approach for testing bivariate normality. Journal of Statistical Computation and Simulation. 88(13). 2540–2560. 1 indexed citations
3.
Hadad, Yossi, Baruch Keren, & Gregory Gurevich. (2017). Improving demand forecasting using change point analysis. 3(2). 130–130. 4 indexed citations
4.
Keren, Baruch, Gregory Gurevich, & Yossi Hadad. (2017). Machines interference problem with several operators and several service types that have different priorities. International Journal of Operational Research. 30(3). 289–289. 1 indexed citations
5.
Hadad, Yossi, Baruch Keren, & Gregory Gurevich. (2016). Calculation of the steady state waiting time distribution in the context of the machine interference problem. International Journal of Operational Research. 26(4). 443–443.
6.
Gurevich, Gregory, Baruch Keren, & Yossi Hadad. (2015). The economic number of operators for the machine interference problem with heterogeneous machines and preemptive priority. International Journal of Logistics Systems and Management. 22(3). 376–376.
7.
Laslo, Zohar & Gregory Gurevich. (2014). ENHANCING PROJECT ON TIME WITHIN BUDGET PERFORMANCE BY IMPLEMENTING PROPER CONTROL ROUTINES. SHILAP Revista de lepidopterología. 19(72). 53–69. 1 indexed citations
8.
Gurevich, Gregory, et al.. (2013). Statistical analysis of temperature changes in israel: an application of change point detection and estimation techniques. Global NEST Journal. 13(3). 215–228. 5 indexed citations
9.
Gurevich, Gregory & Doron Kliger. (2013). The Manipulation: Socio-economic decision making. Journal of Economic Psychology. 39. 171–184. 1 indexed citations
10.
Hadad, Yossi, Baruch Keren, & Gregory Gurevich. (2013). A multinomial model for the machine interference problem with different service types and multiple operators. Computers & Industrial Engineering. 66(2). 264–273. 3 indexed citations
11.
Vexler, Albert, Gregory Gurevich, & Alan D. Hutson. (2012). An exact density-based empirical likelihood ratio test for paired data. Journal of Statistical Planning and Inference. 143(2). 334–345. 5 indexed citations
13.
Vexler, Albert & Gregory Gurevich. (2011). A note on optimality of hypothesis testing. Journal | MESA. 2(3). 243–250. 7 indexed citations
14.
Vexler, Albert & Gregory Gurevich. (2010). Density-Based Empirical Likelihood Ratio Change Point Detection Policies. Communications in Statistics - Simulation and Computation. 39(9). 1709–1725. 3 indexed citations
15.
Gurevich, Gregory & Albert Vexler. (2010). Retrospective Change Point Detection: From Parametric to Distribution Free Policies. Communications in Statistics - Simulation and Computation. 39(5). 899–920. 13 indexed citations
16.
Vexler, Albert & Gregory Gurevich. (2009). Average Most Powerful Tests for a Segmented Regression. Communication in Statistics- Theory and Methods. 38(13). 2214–2231. 3 indexed citations
17.
Laslo, Zohar, Gregory Gurevich, & Baruch Keren. (2009). Economic distribution of budget among producers for fulfilling orders under delivery chance constraints. International Journal of Production Economics. 122(2). 656–662. 1 indexed citations
18.
Vexler, Albert & Gregory Gurevich. (2006). Guaranteed Local Maximum Likelihood Detection of a Change Point in Nonparametric Logistic Regression. Communication in Statistics- Theory and Methods. 35(4). 711–726. 5 indexed citations
19.
Gurevich, Gregory & Albert Vexler. (2006). Guaranteed maximum likelihood splitting tests of a linear regression model. Statistics. 40(6). 465–484. 3 indexed citations
20.
Gurevich, Gregory & Albert Vexler. (2004). Change point problems in the model of logistic regression. Journal of Statistical Planning and Inference. 131(2). 313–331. 11 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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