Ömer Öztürk
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Global and Planetary Change
- Co-authors
- Douglas A. WolfeSteven N. MacEachernJesse FreyGregory V. StarkN. BalakrishnanJayant V. DeshpandéÖmer BilginMohammad Jafari Jozani
- Topics
- Statistical Distribution Estimation and Applications (54 papers)Advanced Statistical Methods and Models (32 papers)Statistical Methods and Bayesian Inference (29 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Ömer Öztürk
66 papers receiving 781 citations
Peers
Comparison fields: 5 of 56
- Statistics and Probability 762
- Statistics, Probability and Uncertainty 389
- Management Science and Operations Research 102
- Artificial Intelligence 73
- Global and Planetary Change 24
Countries citing papers authored by Ömer Öztürk
This map shows the geographic impact of Ömer Öztürk'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 Ömer Öztürk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ömer Öztürk more than expected).
Fields of papers citing papers by Ömer Öztürk
This network shows the impact of papers produced by Ömer Öztürk. 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 Ömer Öztürk. The network helps show where Ömer Öztürk may publish in the future.
Co-authorship network of co-authors of Ömer Öztürk
This figure shows the co-authorship network connecting the top 25 collaborators of Ömer Öztürk. A scholar is included among the top collaborators of Ömer Öztürk 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 Ömer Öztürk. Ömer Öztürk 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 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 23 | |
| 9 | 32 | |
| 10 | 4 | |
| 11 | A new nonparametric test using ranked set data for a two-sample scale problem | 2 |
| 12 | 4 | |
| 13 | A new ranked set sample estimator of variance | 0 |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 85 | |
| 17 | 9 | |
| 18 | 22 | |
| 19 | 21 | |
| 20 | 4 |
About Ömer Öztürk
Ömer Öztürk is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 72 papers that have together received 808 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (54 papers), Advanced Statistical Methods and Models (32 papers) and Statistical Methods and Bayesian Inference (29 papers). The work is most often cited by research in Statistics and Probability (762 citations), Statistics, Probability and Uncertainty (389 citations) and Management Science and Operations Research (102 citations). Ömer Öztürk has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Douglas A. Wolfe, Steven N. MacEachern, Jesse Frey, Gregory V. Stark, N. Balakrishnan, Jayant V. Deshpandé, Ömer Bilgin, Mohammad Jafari Jozani, Thomas P. Hettmansperger and Selçuk Karabatı. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Biometrika.
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.