Hakan Demirtaş

4.4k total citations · 2 hit papers
110 papers, 3.0k citations indexed

About

Hakan Demirtaş is a scholar working on Statistics and Probability, Artificial Intelligence and Surgery. According to data from OpenAlex, Hakan Demirtaş has authored 110 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Statistics and Probability, 27 papers in Artificial Intelligence and 10 papers in Surgery. Recurrent topics in Hakan Demirtaş's work include Statistical Methods and Bayesian Inference (48 papers), Statistical Methods and Inference (23 papers) and Bayesian Methods and Mixture Models (20 papers). Hakan Demirtaş is often cited by papers focused on Statistical Methods and Bayesian Inference (48 papers), Statistical Methods and Inference (23 papers) and Bayesian Methods and Mixture Models (20 papers). Hakan Demirtaş collaborates with scholars based in United States, Türkiye and Australia. Hakan Demirtaş's co-authors include Donald Hedeker, Robin J. Mermelstein, Joseph L. Schafer, Recai Yucel, Ningling Sun, Guangyun Mao, Xiping Xu, Lisheng Liu, Yong Huo and Xianhui Qin and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Biometrics.

In The Last Decade

Hakan Demirtaş

106 papers receiving 2.9k citations

Hit Papers

Flexible Imputation of Missing Data 2007 2026 2013 2019 2018 2007 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hakan Demirtaş United States 26 843 358 340 305 271 110 3.0k
Bahjat F. Qaqish United States 36 1.0k 1.2× 177 0.5× 301 0.9× 276 0.9× 510 1.9× 121 5.2k
Daniel J. Stekhoven Switzerland 13 280 0.3× 180 0.5× 644 1.9× 201 0.7× 332 1.2× 26 4.4k
Rebecca Turner United Kingdom 34 1.1k 1.2× 233 0.7× 89 0.3× 264 0.9× 605 2.2× 66 4.9k
Shaun R. Seaman United Kingdom 27 1.2k 1.5× 158 0.4× 297 0.9× 209 0.7× 314 1.2× 91 5.2k
Tim P. Morris United Kingdom 36 848 1.0× 202 0.6× 102 0.3× 176 0.6× 661 2.4× 128 4.7k
Donglin Zeng United States 41 2.4k 2.9× 151 0.4× 585 1.7× 292 1.0× 207 0.8× 328 6.2k
Jeff Goldsmith United States 34 602 0.7× 141 0.4× 283 0.8× 492 1.6× 113 0.4× 134 3.8k
Bibhas Chakraborty United States 27 644 0.8× 77 0.2× 353 1.0× 259 0.8× 84 0.3× 114 2.7k
Brian G. Leroux United States 42 552 0.7× 88 0.2× 505 1.5× 706 2.3× 410 1.5× 159 5.7k
Tim Friede Germany 45 1.7k 2.1× 269 0.8× 84 0.2× 425 1.4× 592 2.2× 331 7.5k

Countries citing papers authored by Hakan Demirtaş

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Demirtaş, Hakan, et al.. (2022). CorrToolBox: an package for modeling correlational magnitude transformations in discretization contexts. Communications in Statistics - Simulation and Computation. 53(6). 2715–2728.
2.
Demirtaş, Hakan, et al.. (2020). Mixed data generation packages and related computational tools in R. Communications in Statistics - Simulation and Computation. 51(8). 4520–4563. 2 indexed citations
3.
Götte, Heiko, Junyuan Xiong, Marietta Kirchner, Hakan Demirtaş, & Meinhard Kieser. (2020). Optimal decision‐making in oncology development programs based on probability of success for phase III utilizing phase II/III data on response and overall survival. Pharmaceutical Statistics. 19(6). 861–881. 2 indexed citations
4.
Hedeker, Donald, S. H. C. du Toit, Hakan Demirtaş, & Robert D. Gibbons. (2017). A Note on Marginalization of Regression Parameters from Mixed Models of Binary Outcomes. Biometrics. 74(1). 354–361. 48 indexed citations
5.
Amatya, Anup & Hakan Demirtaş. (2016). Concurrent generation of multivariate mixed data with variables of dissimilar types. Journal of Statistical Computation and Simulation. 86(18). 3595–3607. 3 indexed citations
6.
Durmaz, Mehmet Sedat, et al.. (2016). Bilateral cleft foot: Radiographic and prenatal ultrasound features of two siblings with a review of literature. Medicina. 52(4). 257–261. 2 indexed citations
7.
Demirtaş, Hakan, et al.. (2016). Aspergilloma Mimicking Metastasis in a Case with Laryngeal Carcinoma. Medical Archives. 70(1). 76–76. 1 indexed citations
8.
Pirgon, Özgür, et al.. (2015). Assessment of Ovarian Function and Reserve Based on Hormonal Parameters, Ovarian Volume, and Follicle Count in Euthyroid Girls with Hashimoto Thyroiditis. 84. 1 indexed citations
9.
Pirgon, Özgür, et al.. (2015). Assessment of ovarian reserve in euthyroid adolescents with Hashimoto thyroiditis. Gynecological Endocrinology. 32(4). 306–310. 26 indexed citations
10.
Demirtaş, Hakan, et al.. (2014). Joint Generation of Binary and Nonnormal Continuous Data. Journal of Biometrics & Biostatistics. s12. 4 indexed citations
11.
Aktaş, Aykut Recep, et al.. (2014). Transthoracic biopsy of lung masses: Non technical factors affecting complication occurrence. Thoracic Cancer. 6(2). 151–158. 12 indexed citations
12.
Helenowski, Irene, Hakan Demirtaş, & Beyza Doğanay Erdoğan. (2012). On Imputing Binary Data via Pairwise Associations and Corresponding Conditional Probabilities. 4(1). 1–9. 2 indexed citations
13.
Leon, Andrew C., Hakan Demirtaş, Chunshan Li, & Donald Hedeker. (2012). Two propensity score‐based strategies for a three‐decade observational study: investigating psychotropic medications and suicide risk. Statistics in Medicine. 31(27). 3255–3260. 10 indexed citations
14.
Altekin, Refik Emre, et al.. (2011). Aortic valve endocarditis and cerebral mycotic aneurysm due to brucellosis. Journal of Cardiology Cases. 4(3). e179–e182. 2 indexed citations
15.
Demirtaş, Hakan & Donald Hedeker. (2008). Multiple Imputation Under Power Polynomials. Communications in Statistics - Simulation and Computation. 37(8). 1682–1695. 25 indexed citations
16.
Demirtaş, Hakan & Donald Hedeker. (2007). Imputing continuous data under some non‐Gaussian distributions. Statistica Neerlandica. 62(2). 193–205. 10 indexed citations
17.
Demirtaş, Hakan. (2006). A method for multivariate ordinal data generation given marginal distributions and correlations. Journal of Statistical Computation and Simulation. 76(11). 1017–1025. 36 indexed citations
18.
Demirtaş, Hakan. (2005). JMASM16: Pseudo-Random Number Generation In R For Some Univariate Distributions. Journal of Modern Applied Statistical Methods. 4(1). 300–311. 2 indexed citations
19.
Demirtaş, Hakan. (2004). Pseudo-Random Number Generation In R For Commonly Used Multivariate Distributions. Journal of Modern Applied Statistical Methods. 3(2). 485–497. 8 indexed citations
20.
Demirtaş, Hakan. (2004). Modeling Incomplete Longitudinal Data. Journal of Modern Applied Statistical Methods. 3(2). 305–321. 11 indexed citations

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.

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