George E. Policello
- Statistics and Probability top 1%
- Economics and Econometrics top 10%
- Artificial Intelligence
- Finance top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Michael A. FlignerRonald H. RandlesDouglas A. WolfeThomas P. HettmanspergerNoel CressieJ. Leroy FolksJagbir Singh
- Topics
- Financial Risk and Volatility Modeling (3 papers)Advanced Statistical Methods and Models (3 papers)Statistical Distribution Estimation and Applications (2 papers)
- Journals
- Journal of the American Statistical AssociationIEEE Communications MagazineThe American Statistician
- Partner nations
- United States
In The Last Decade
George E. Policello
10 papers receiving 591 citations
Peers
Comparison fields: 5 of 121
- Statistics and Probability 298
- Economics and Econometrics 150
- Artificial Intelligence 83
- Finance 74
- General Economics, Econometrics and Finance 70
Countries citing papers authored by George E. Policello
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 243 | |
| 3 | 73 | |
| 4 | 43 | |
| 5 | 39 | |
| 6 | 158 | |
| 7 | 21 | |
| 8 | 18 | |
| 9 | 38 | |
| 10 | 7 |
About George E. Policello
George E. Policello is a scholar working on Statistics and Probability, Finance and Statistical and Nonlinear Physics, having authored 10 papers that have together received 643 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (3 papers), Advanced Statistical Methods and Models (3 papers) and Statistical Distribution Estimation and Applications (2 papers). The work is most often cited by research in Statistics and Probability (298 citations), General Economics, Econometrics and Finance (70 citations) and Finance (74 citations). George E. Policello has collaborated with scholars based in United States. Frequent co-authors include Michael A. Fligner, Ronald H. Randles, Douglas A. Wolfe, Thomas P. Hettmansperger, Noel Cressie, J. Leroy Folks and Jagbir Singh. Their work appears in journals such as Journal of the American Statistical Association, IEEE Communications Magazine and The American Statistician.
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.