Savaş Dayanik
- Management Science and Operations Research top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Finance top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Warren B. PowellPeter I. FrazierIoannis KaratzasErhan BayraktarSemih SezerRené CarmonaÜlkü GürlerH. Vincent Poor
- Topics
- Advanced Statistical Process Monitoring (15 papers)Statistical Methods and Inference (7 papers)Stochastic processes and financial applications (6 papers)
- Journals
- IEEE Transactions on Information TheoryOperations ResearchSIAM Journal on Control and Optimization
- Partner nations
- United StatesTürkiyeJapan
In The Last Decade
Savaş Dayanik
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Management Science and Operations Research 468
- Statistics, Probability and Uncertainty 299
- Finance 271
- Artificial Intelligence 260
- Computational Theory and Mathematics 250
Countries citing papers authored by Savaş Dayanik
This map shows the geographic impact of Savaş Dayanik'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 Savaş Dayanik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Savaş Dayanik more than expected).
Fields of papers citing papers by Savaş Dayanik
This network shows the impact of papers produced by Savaş Dayanik. 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 Savaş Dayanik. The network helps show where Savaş Dayanik may publish in the future.
Co-authorship network of co-authors of Savaş Dayanik
This figure shows the co-authorship network connecting the top 25 collaborators of Savaş Dayanik. A scholar is included among the top collaborators of Savaş Dayanik 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 Savaş Dayanik. Savaş Dayanik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 269 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 290 | |
| 13 | 24 | |
| 14 | 17 | |
| 15 | 13 | |
| 16 | 30 | |
| 17 | 32 | |
| 18 | 159 | |
| 19 | The Eectiveness of Several Performance Bounds for Capacitated Assemble-to-Order Systems | 4 |
| 20 | 36 |
About Savaş Dayanik
Savaş Dayanik is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (15 papers), Statistical Methods and Inference (7 papers) and Stochastic processes and financial applications (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (299 citations), Management Science and Operations Research (468 citations) and Finance (271 citations). Savaş Dayanik has collaborated with scholars based in United States, Türkiye and Japan. Frequent co-authors include Warren B. Powell, Peter I. Frazier, Ioannis Karatzas, Erhan Bayraktar, Semih Sezer, René Carmona, Ülkü Gürler, H. Vincent Poor, Jing-Sheng Song and Susan H. Xu. Their work appears in journals such as IEEE Transactions on Information Theory, Operations Research and SIAM Journal on Control and Optimization.
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.