Nursel Koyuncu
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Epidemiology
- Sociology and Political Science
- Co-authors
- Cem KadılarMuhammad HanifUsman ShahzadAmer Ibrahim Al‐OmariAyed R. A. AlanziAamir SanaullahGamze ÖzelMuhammad Noor‐ul‐Amin
- Topics
- Survey Sampling and Estimation Techniques (32 papers)Statistical Distribution Estimation and Applications (25 papers)Advanced Statistical Methods and Models (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessApplied Mathematics and Computation
In The Last Decade
Nursel Koyuncu
45 papers receiving 565 citations
Peers
Comparison fields: 5 of 47
- Statistics and Probability 569
- Statistics, Probability and Uncertainty 73
- Artificial Intelligence 55
- Epidemiology 18
- Sociology and Political Science 15
Countries citing papers authored by Nursel Koyuncu
This map shows the geographic impact of Nursel Koyuncu'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 Nursel Koyuncu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nursel Koyuncu more than expected).
Fields of papers citing papers by Nursel Koyuncu
This network shows the impact of papers produced by Nursel Koyuncu. 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 Nursel Koyuncu. The network helps show where Nursel Koyuncu may publish in the future.
Co-authorship network of co-authors of Nursel Koyuncu
This figure shows the co-authorship network connecting the top 25 collaborators of Nursel Koyuncu. A scholar is included among the top collaborators of Nursel Koyuncu 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 Nursel Koyuncu. Nursel Koyuncu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | ESTIMATION OF POPULATION VARIANCE USING QUARTILES IN ABSENCE AND PRESENCE OF NON-RESPONSE | 2 |
| 15 | 22 | |
| 16 | 2 | |
| 17 | Families of Estimators for Population Mean Using Information on Auxiliary Attribute in Stratified Random Sampling | 6 |
| 18 | General Class of Estimators of Population Variance in Stratified Random Sampling | 1 |
| 19 | 66 | |
| 20 | 106 |
About Nursel Koyuncu
Nursel Koyuncu is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 48 papers that have together received 604 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (32 papers), Statistical Distribution Estimation and Applications (25 papers) and Advanced Statistical Methods and Models (19 papers). The work is most often cited by research in Statistics and Probability (569 citations), Statistics, Probability and Uncertainty (73 citations) and Artificial Intelligence (55 citations). Nursel Koyuncu has collaborated with scholars based in Türkiye, Pakistan and Jordan. Frequent co-authors include Cem Kadılar, Muhammad Hanif, Usman Shahzad, Amer Ibrahim Al‐Omari, Ayed R. A. Alanzi, Aamir Sanaullah, Gamze Özel, Muhammad Noor‐ul‐Amin, Ibrahim M. Almanjahie and Ishfaq Ahmad. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Mathematics and Computation.
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.