Çoşkun Kuş

789 citations
37 papers · 612 · h-index 10

Impact in

Papers in

Çoşkun Kuş

34 papers receiving 577 citations

Peers

Çoşkun Kuş
Comparison fields: 5 of 60
  • Statistics and Probability 558
  • Statistics, Probability and Uncertainty 381
  • Safety, Risk, Reliability and Quality 161
  • Management Science and Operations Research 66
  • Global and Planetary Change 111
Replace Magne V. Aarset with:
Magne V. Aarset Norway
Marco Burkschat Germany
Hare Krishna India
Khalaf S. Sultan Saudi Arabia
M. M. Mohie El-Din Egypt
Bander Al-Zahrani Saudi Arabia
Giovana O. Silva Brazil
Hassan M. Okasha Saudi Arabia
Ayman Baklizi Qatar
Biswabrata Pradhan India
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Citations per field
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Magne V. Aarset · 1×
Citations per year

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-authors

The 17 scholars most cited alongside Çoşkun Kuş, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Çoşkun Kuş Line = papers co-authored together Çoşkun Kuş links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006274
2 2009132
3 200728
4 201520
5 202117
6 201816
7
Estimation of Parameters of the Loglogistic Distribution based on Progressive Censoring using the EM Algorithm
200615
8 202113
9 201511
10 202210
11 20209
12 20216
13 20136
14 20216
15 20206
16 20195
17
Interval Estimation for the Two-Parameter Pareto Distribution Based on Record Values
20114
18
On the DUS-Kumaraswamy Distribution
20214
19 20224
20 20224

About Çoşkun Kuş

Çoşkun Kuş is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Safety, Risk, Reliability and Quality and Management Science and Operations Research, having authored 37 papers that have together received 612 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (28 papers), Probabilistic and Robust Engineering Design (19 papers), Bayesian Methods and Mixture Models (7 papers), Reliability and Maintenance Optimization (6 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Statistical Methods and Models (4 papers), Optimal Experimental Design Methods (4 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Statistics and Probability (558 citations), Statistics, Probability and Uncertainty (381 citations), Safety, Risk, Reliability and Quality (161 citations), Management Science and Operations Research (66 citations) and Global and Planetary Change (111 citations). Çoşkun Kuş has collaborated with scholars based in Türkiye, Taiwan and Iran. Frequent co-authors include Shuo‐Jye Wu, Kadir Karakaya, A. Asgharzadeh, Serkan Eryılmaz, Hon Keung Tony Ng, Hassan S. Bakouch, Ping Shing Chan, Christophe Chesneau, Mustafa Ç. Korkmaz and Alaa H. Abdel‐Hamid. Their work appears in journals such as Computational Statistics & Data Analysis, Quality Technology & Quantitative Management, Journal of Computational and Applied Mathematics, Journal of Statistical Computation and Simulation and Communications in Statistics - Simulation 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.

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