Emad‐Eldin A. A. Aly
- Statistics and Probability top 1%
- Finance top 5%
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Mohamed AloshSubhash C. KocharIan W. McKeagueMiklós CsörgőLajos HorváthLakdére BenkheroufFahimah Al-Awadhi
- Topics
- Statistical Distribution Estimation and Applications (20 papers)Financial Risk and Volatility Modeling (12 papers)Advanced Statistical Methods and Models (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationComputational Statistics & Data Analysis
In The Last Decade
Emad‐Eldin A. A. Aly
41 papers receiving 422 citations
Peers
Comparison fields: 5 of 68
- Statistics and Probability 359
- Finance 157
- Management Science and Operations Research 100
- Artificial Intelligence 81
- Statistics, Probability and Uncertainty 75
Countries citing papers authored by Emad‐Eldin A. A. Aly
This map shows the geographic impact of Emad‐Eldin A. A. Aly'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 Emad‐Eldin A. A. Aly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emad‐Eldin A. A. Aly more than expected).
Fields of papers citing papers by Emad‐Eldin A. A. Aly
This network shows the impact of papers produced by Emad‐Eldin A. A. Aly. 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 Emad‐Eldin A. A. Aly. The network helps show where Emad‐Eldin A. A. Aly may publish in the future.
Co-authorship network of co-authors of Emad‐Eldin A. A. Aly
This figure shows the co-authorship network connecting the top 25 collaborators of Emad‐Eldin A. A. Aly. A scholar is included among the top collaborators of Emad‐Eldin A. A. Aly 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 Emad‐Eldin A. A. Aly. Emad‐Eldin A. A. Aly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | On some tests for exponentiality based on the mean residual life function | 1 |
| 4 | Multiple change points tests against the umbrella alternative | 1 |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 59 | |
| 10 | 3 | |
| 11 | Some Tests for Comparing Cause-Specific Hazard Rates. | 1 |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 5 | |
| 19 | 42 | |
| 20 | 7 |
About Emad‐Eldin A. A. Aly
Emad‐Eldin A. A. Aly is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 44 papers that have together received 447 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (20 papers), Financial Risk and Volatility Modeling (12 papers) and Advanced Statistical Methods and Models (11 papers). The work is most often cited by research in Statistics and Probability (359 citations), Finance (157 citations) and Statistics, Probability and Uncertainty (75 citations). Emad‐Eldin A. A. Aly has collaborated with scholars based in Canada, Kuwait and India. Frequent co-authors include Mohamed Alosh, Subhash C. Kochar, Ian W. McKeague, Miklós Csörgő, Lajos Horváth, Lakdére Benkherouf and Fahimah Al-Awadhi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Computational Statistics & Data Analysis.
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.