Erol A. Peköz
- Statistics and Probability top 5%
- Economics and Econometrics top 10%
- General Health Professions top 10%
- Mathematical Physics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Sheldon M. RossMichael ShwartzJoseph D. RestucciaDan R. BerlowitzClaus ChristiansenMark BrownArlene S. AshAlan Cohen
- Topics
- Advanced Queuing Theory Analysis (16 papers)Random Matrices and Applications (14 papers)Probability and Risk Models (12 papers)
- Partner nations
- United StatesSingaporeHong Kong
In The Last Decade
Erol A. Peköz
49 papers receiving 387 citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 111
- Economics and Econometrics 110
- General Health Professions 109
- Mathematical Physics 62
- Management Science and Operations Research 60
Countries citing papers authored by Erol A. Peköz
This map shows the geographic impact of Erol A. Peköz'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 Erol A. Peköz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erol A. Peköz more than expected).
Fields of papers citing papers by Erol A. Peköz
This network shows the impact of papers produced by Erol A. Peköz. 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 Erol A. Peköz. The network helps show where Erol A. Peköz may publish in the future.
Co-authorship network of co-authors of Erol A. Peköz
This figure shows the co-authorship network connecting the top 25 collaborators of Erol A. Peköz. A scholar is included among the top collaborators of Erol A. Peköz 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 Erol A. Peköz. Erol A. Peköz 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 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | Stein's method, many interacting worlds and quantum mechanics | 1 |
| 6 | 27 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | Total variation and local limit error bounds for geometric approximation | 1 |
| 10 | 12 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 44 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 0 | |
| 18 | 13 | |
| 19 | 28 | |
| 20 | 12 |
About Erol A. Peköz
Erol A. Peköz is a scholar working on Statistics and Probability, Management Information Systems and Management Science and Operations Research, having authored 56 papers that have together received 416 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (16 papers), Random Matrices and Applications (14 papers) and Probability and Risk Models (12 papers). The work is most often cited by research in Statistics and Probability (111 citations), Discrete Mathematics and Combinatorics (26 citations) and Mathematical Physics (62 citations). Erol A. Peköz has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include Sheldon M. Ross, Michael Shwartz, Joseph D. Restuccia, Dan R. Berlowitz, Claus Christiansen, Mark Brown, Arlene S. Ash, Alan Cohen, James Burgess and Lisa I. Iezzoni. Their work appears in journals such as Statistics in Medicine, Operations Research and Medical Care.
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.