Hakan Demirtaş
- Statistics and Probability top 0.5%
- Rheumatology top 2%
- Artificial Intelligence top 5%
- Physiology top 10%
- Surgery
- Co-authors
- Donald HedekerRobin J. MermelsteinJoseph L. SchaferRecai YucelXiaobin WangXianhui QinYong HuoLisheng Liu
- Topics
- Statistical Methods and Bayesian Inference (48 papers)Statistical Methods and Inference (23 papers)Bayesian Methods and Mixture Models (20 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaBiometrics
- Partner nations
- United StatesTürkiyeAustralia
In The Last Decade
Hakan Demirtaş
106 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Statistics and Probability 843
- Rheumatology 358
- Artificial Intelligence 340
- Physiology 305
- Surgery 271
Countries citing papers authored by Hakan Demirtaş
This map shows the geographic impact of Hakan Demirtaş'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 Hakan Demirtaş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakan Demirtaş more than expected).
Fields of papers citing papers by Hakan Demirtaş
This network shows the impact of papers produced by Hakan Demirtaş. 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 Hakan Demirtaş. The network helps show where Hakan Demirtaş may publish in the future.
Co-authorship network of co-authors of Hakan Demirtaş
This figure shows the co-authorship network connecting the top 25 collaborators of Hakan Demirtaş. A scholar is included among the top collaborators of Hakan Demirtaş 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 Hakan Demirtaş. Hakan Demirtaş 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 | 8 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | Assessment of Ovarian Function and Reserve Based on Hormonal Parameters, Ovarian Volume, and Follicle Count in Euthyroid Girls with Hashimoto Thyroiditis | 1 |
| 7 | 26 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 13 | |
| 11 | On Imputing Binary Data via Pairwise Associations and Corresponding Conditional Probabilities | 2 |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 25 | |
| 16 | 6 | |
| 17 | 36 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 11 |
About Hakan Demirtaş
Hakan Demirtaş is a scholar working on Statistics and Probability, Microbiology and Artificial Intelligence, having authored 110 papers that have together received 3.0k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (48 papers), Statistical Methods and Inference (23 papers) and Bayesian Methods and Mixture Models (20 papers). The work is most often cited by research in Statistics and Probability (843 citations), Applied Psychology (175 citations) and Rheumatology (358 citations). Hakan Demirtaş has collaborated with scholars based in United States, Türkiye and Australia. Frequent co-authors include Donald Hedeker, Robin J. Mermelstein, Joseph L. Schafer, Recai Yucel, Xiaobin Wang, Xianhui Qin, Yong Huo, Lisheng Liu, Guangyun Mao and Xiping Xu. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Biometrics.
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.