Çoşkun Kuş

789 total citations
37 papers, 612 citations indexed

About

Çoşkun Kuş is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Çoşkun Kuş has authored 37 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 23 papers in Statistics, Probability and Uncertainty and 7 papers in Artificial Intelligence. Recurrent topics in Çoşkun Kuş's work include Statistical Distribution Estimation and Applications (28 papers), Probabilistic and Robust Engineering Design (19 papers) and Bayesian Methods and Mixture Models (7 papers). Çoşkun Kuş is often cited by papers focused on Statistical Distribution Estimation and Applications (28 papers), Probabilistic and Robust Engineering Design (19 papers) and Bayesian Methods and Mixture Models (7 papers). Çoşkun Kuş collaborates with scholars based in Türkiye, Iran and Egypt. Çoşkun Kuş's co-authors include Shuo‐Jye Wu, Kadir Karakaya, Serkan Eryılmaz, A. Asgharzadeh, Hon Keung Tony Ng, Hassan S. Bakouch, Ping Shing Chan, Christophe Chesneau, Mustafa Ç. Korkmaz and Alaa H. Abdel‐Hamid and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational and Applied Mathematics and Computational Statistics & Data Analysis.

In The Last Decade

Çoşkun Kuş

34 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Çoşkun Kuş Türkiye 10 558 381 161 111 68 37 612
Magne V. Aarset Norway 3 574 1.0× 431 1.1× 165 1.0× 107 1.0× 55 0.8× 4 621
Bander Al-Zahrani Saudi Arabia 13 527 0.9× 300 0.8× 102 0.6× 103 0.9× 68 1.0× 44 564
Marco Burkschat Germany 16 588 1.1× 437 1.1× 200 1.2× 93 0.8× 38 0.6× 32 610
Giovana O. Silva Brazil 10 602 1.1× 389 1.0× 121 0.8× 136 1.2× 55 0.8× 17 643
Khalaf S. Sultan Saudi Arabia 13 524 0.9× 332 0.9× 92 0.6× 108 1.0× 128 1.9× 56 593
Indranil Ghosh United States 14 637 1.1× 377 1.0× 84 0.5× 148 1.3× 77 1.1× 88 712
Hare Krishna India 16 808 1.4× 525 1.4× 177 1.1× 144 1.3× 104 1.5× 37 900
S. Baratpour Iran 12 436 0.8× 273 0.7× 86 0.5× 32 0.3× 45 0.7× 21 493
Eslam Hussam Saudi Arabia 13 426 0.8× 235 0.6× 51 0.3× 83 0.7× 50 0.7× 71 496
M. M. Mohie El-Din Egypt 14 509 0.9× 336 0.9× 177 1.1× 102 0.9× 42 0.6× 67 554

Countries citing papers authored by Çoşkun Kuş

Since Specialization
Citations

This map shows the geographic impact of Çoşkun Kuş'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 Çoşkun Kuş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Çoşkun Kuş more than expected).

Fields of papers citing papers by Çoşkun Kuş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Çoşkun Kuş. 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 Çoşkun Kuş. The network helps show where Çoşkun Kuş may publish in the future.

Co-authorship network of co-authors of Çoşkun Kuş

This figure shows the co-authorship network connecting the top 25 collaborators of Çoşkun Kuş. A scholar is included among the top collaborators of Çoşkun Kuş 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 Çoşkun Kuş. Çoşkun Kuş 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.
Kuş, Çoşkun & Serkan Eryılmaz. (2025). Estimation of parameters for a system equipped with protection block. Journal of Computational and Applied Mathematics. 476. 117102–117102.
2.
Kuş, Çoşkun, et al.. (2025). Point Estimation for the Inverse Rayleigh Distribution under Type-II Left and Right Censoring. Cumhuriyet Science Journal. 46(1). 179–184. 1 indexed citations
3.
Karakaya, Kadir, et al.. (2024). Statistical Inference on Process Capability Index Cpyk for Inverse Rayleigh Distribution under Progressive Censoring. Pakistan Journal of Statistics and Operation Research. 37–47. 3 indexed citations
4.
Kuş, Çoşkun, et al.. (2023). Compound transmuted family of distributions: properties and applications. Ricerche di Matematica. 74(3). 1789–1808. 1 indexed citations
5.
Sancar, Mesut, et al.. (2022). Evaluation of clinical pharmacist interventions on drugrelated problems in the gastroenterology ward. Journal of Research in Pharmacy. 26(3)(26(3)). 687–696. 2 indexed citations
6.
Kuş, Çoşkun, et al.. (2022). Modified-Lindley distribution and its applications to the real data. Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics. 71(1). 252–272. 10 indexed citations
7.
Karakaya, Kadir, et al.. (2022). A Generalization of New Pareto-Type Distribution. Annals of Data Science. 11(1). 87–101. 1 indexed citations
8.
Bakouch, Hassan S., Christophe Chesneau, Kadir Karakaya, & Çoşkun Kuş. (2021). The Cos-Poisson model with a novel count regression analysis. Hacettepe Journal of Mathematics and Statistics. 50(2). 559–578. 6 indexed citations
9.
Kuş, Çoşkun & Serkan Eryılmaz. (2021). Analysis of the two-unit cold standby repairable system with damage and repair time dependency via matrix-exponential distributions. Quality Technology & Quantitative Management. 18(6). 771–786. 6 indexed citations
10.
Kuş, Çoşkun, et al.. (2019). Discriminating between the Lognormal and Weibull Distributions under Progressive Censoring. SHILAP Revista de lepidopterología. 40(2). 493–504. 2 indexed citations
11.
Tuğay, Osman, et al.. (2016). Evaluation of In Vitro Antiviral Activity of Taraxacum farinosum and Taraxacum mirabile Extracts against Herpes Simplex Virus Type 1 (HSV-1). International Journal of Scientific and Technological Research. 2(2). 29–35. 1 indexed citations
12.
Ng, Hon Keung Tony, et al.. (2015). Optimal experimental plan for multi-level stress testing with Weibull regression under progressive Type-II extremal censoring. Communications in Statistics - Simulation and Computation. 46(4). 2611–2637. 11 indexed citations
13.
Kuş, Çoşkun, et al.. (2014). Statistical Inference for Weibull Distribution Based on a Modified Progressive Type-II Censoring Scheme. 5(4). 95–95. 1 indexed citations
14.
Kuş, Çoşkun, et al.. (2013). Optimal progressive group censoring scheme under cost considerations for pareto distribution. Journal of Applied Statistics. 40(11). 2437–2450. 6 indexed citations
15.
Kuş, Çoşkun, et al.. (2012). Planning Life Tests for Burr XII Distributed Products Under Progressive Group-censoring with Cost Considerations. Gazi university journal of science. 25(2). 425–434. 2 indexed citations
16.
Asgharzadeh, A., et al.. (2011). Interval Estimation for the Two-Parameter Pareto Distribution Based on Record Values. 149–161. 4 indexed citations
17.
Wu, Shuo‐Jye & Çoşkun Kuş. (2009). On estimation based on progressive first-failure-censored sampling. Computational Statistics & Data Analysis. 53(10). 3659–3670. 132 indexed citations
18.
Kuş, Çoşkun, et al.. (2007). Estimation for the Parameters of the Pareto Distribution Under Progressive Censoring. Communication in Statistics- Theory and Methods. 36(7). 1359–1365. 28 indexed citations
19.
Kuş, Çoşkun, et al.. (2006). Estimation of Parameters of the Loglogistic Distribution based on Progressive Censoring using the EM Algorithm. DergiPark (Istanbul University). 15 indexed citations
20.
Kuş, Çoşkun. (2006). A new lifetime distribution. Computational Statistics & Data Analysis. 51(9). 4497–4509. 274 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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