George E. Policello

15 total papers · 893 total citations
10 papers, 642 citations indexed

About

George E. Policello is a scholar working on Statistics and Probability, Finance and Statistical and Nonlinear Physics. According to data from OpenAlex, George E. Policello has authored 10 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 3 papers in Finance and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in George E. Policello's work include Advanced Statistical Methods and Models (3 papers), Financial Risk and Volatility Modeling (3 papers) and Stochastic processes and financial applications (2 papers). George E. Policello is often cited by papers focused on Advanced Statistical Methods and Models (3 papers), Financial Risk and Volatility Modeling (3 papers) and Stochastic processes and financial applications (2 papers). George E. Policello collaborates with scholars based in United States. George E. Policello's co-authors include Michael A. Fligner, Douglas A. Wolfe, Ronald H. Randles, Thomas P. Hettmansperger, J. Leroy Folks, Noel Cressie and Jagbir Singh and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Communications Magazine and The American Statistician.

In The Last Decade

George E. Policello

10 papers receiving 591 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
George E. Policello 298 149 83 74 70 10 642
José A. Villaseñor Alva 188 0.6× 97 0.7× 60 0.7× 80 1.1× 35 0.5× 46 757
P. Richard Hahn 248 0.8× 92 0.6× 194 2.3× 46 0.6× 28 0.4× 24 618
Herbert Büning 310 1.0× 75 0.5× 65 0.8× 75 1.0× 25 0.4× 30 625
Bernard W. Lindgren 156 0.5× 60 0.4× 85 1.0× 30 0.4× 21 0.3× 17 698
K. R. W. Brewer 392 1.3× 134 0.9× 156 1.9× 57 0.8× 51 0.7× 32 757
Friedhelm Eicker 305 1.0× 125 0.8× 60 0.7× 94 1.3× 65 0.9× 23 576
Tatyana Krivobokova 317 1.1× 120 0.8× 100 1.2× 44 0.6× 58 0.8× 27 696
Alexander Basilevsky 128 0.4× 69 0.5× 115 1.4× 32 0.4× 13 0.2× 12 663
Vasco d'Orey 204 0.7× 209 1.4× 53 0.6× 109 1.5× 89 1.3× 8 619
Frank Lad 229 0.8× 92 0.6× 198 2.4× 67 0.9× 13 0.2× 38 730

Countries citing papers authored by George E. Policello

Since Specialization
Citations

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

Fields of papers citing papers by George E. Policello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George E. Policello

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

All Works

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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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