Sanku Dey

3.0k total citations
130 papers, 2.4k citations indexed

About

Sanku Dey is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Sanku Dey has authored 130 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Statistics and Probability, 92 papers in Statistics, Probability and Uncertainty and 28 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Sanku Dey's work include Statistical Distribution Estimation and Applications (110 papers), Probabilistic and Robust Engineering Design (66 papers) and Statistical Methods and Bayesian Inference (31 papers). Sanku Dey is often cited by papers focused on Statistical Distribution Estimation and Applications (110 papers), Probabilistic and Robust Engineering Design (66 papers) and Statistical Methods and Bayesian Inference (31 papers). Sanku Dey collaborates with scholars based in India, United States and Egypt. Sanku Dey's co-authors include Devendra Kumar, Mazen Nassar, Josmar Mazucheli, Mahendra Saha, Sajid Ali, Tanujit Dey, Yogesh Mani Tripathi, Chunfang Zhang, Debasis Kundu and Ahmed Z. Afify and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Industrial Engineering and Journal of Computational and Applied Mathematics.

In The Last Decade

Sanku Dey

118 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanku Dey India 28 2.1k 1.5k 503 360 313 130 2.4k
Artur J. Lemonte Brazil 27 2.0k 1.0× 1.0k 0.7× 340 0.7× 346 1.0× 182 0.6× 114 2.2k
Erhard Cramer Germany 25 2.5k 1.2× 1.7k 1.1× 531 1.1× 483 1.3× 394 1.3× 116 2.6k
Udo Kamps Germany 23 2.2k 1.0× 1.6k 1.1× 490 1.0× 381 1.1× 369 1.2× 112 2.4k
Amal S. Hassan Egypt 23 1.9k 0.9× 1.3k 0.8× 373 0.7× 419 1.2× 195 0.6× 190 2.1k
Jafar Ahmadi Iran 24 1.5k 0.7× 1.0k 0.7× 395 0.8× 171 0.5× 204 0.7× 163 1.8k
Ehab M. Almetwally Egypt 26 2.2k 1.0× 1.2k 0.7× 375 0.7× 448 1.2× 329 1.1× 222 2.4k
Hassan S. Bakouch Egypt 19 1.4k 0.7× 700 0.5× 182 0.4× 270 0.8× 223 0.7× 154 1.7k
N. Balakrishnan Canada 8 1.5k 0.7× 1.2k 0.8× 407 0.8× 333 0.9× 217 0.7× 18 1.6k
Marcelo Bourguignon Brazil 20 1.3k 0.6× 649 0.4× 106 0.2× 310 0.9× 156 0.5× 109 1.5k
Ammar M. Sarhan Egypt 19 1.0k 0.5× 780 0.5× 547 1.1× 117 0.3× 105 0.3× 74 1.3k

Countries citing papers authored by Sanku Dey

Since Specialization
Citations

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

Fields of papers citing papers by Sanku Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanku Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Sanku Dey. A scholar is included among the top collaborators of Sanku Dey 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 Sanku Dey. Sanku Dey 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.
Ouyang, Linhan, Sanku Dey, & Chanseok Park. (2024). Development of robust confidence intervals for the cost-based process capability index. Computers & Industrial Engineering. 190. 110048–110048. 4 indexed citations
2.
Elshahhat, Ahmed, et al.. (2023). Analysis of WE Parameters of Life Using Adaptive-Progressively Type-II Hybrid Censored Mechanical Equipment Data. Axioms. 12(7). 690–690. 3 indexed citations
3.
Saha, Mahendra & Sanku Dey. (2023). Estimation and confidence intervals of a new loss based process capability index $${\mathcal {C}}^{\prime }_{pm}$$ with applications. International Journal of Systems Assurance Engineering and Management. 14(5). 1827–1840. 2 indexed citations
4.
Ouyang, Linhan, Sanku Dey, Jai‐Hyun Byun, & Chanseok Park. (2023). Confidence intervals of the process capability index Cpc$C_{pc}$ revisited via modified bootstrap technique and ROC curves. Quality and Reliability Engineering International. 39(6). 2162–2184. 1 indexed citations
5.
Wang, Liang, Yuhlong Lio, Yogesh Mani Tripathi, & Sanku Dey. (2023). Inference for dependent complementary competing risks model from an inverted Kumaraswamy distribution under ranked set sampling. Quality and Reliability Engineering International. 40(4). 1437–1460.
6.
Dey, Sanku, Ahmed Elshahhat, & Mazen Nassar. (2022). Analysis of progressive type-II censored gamma distribution. Computational Statistics. 38(1). 481–508. 38 indexed citations
7.
Dey, Sanku & Ahmed Elshahhat. (2022). Analysis of Wilson‐Hilferty distribution under progressive Type‐II censoring. Quality and Reliability Engineering International. 38(7). 3771–3796. 14 indexed citations
8.
Shah, Ismail, et al.. (2022). Unit Nadarajah and Haghighi distribution: Properties and applications in quality control. Scientia Iranica. 32(8). 0–0. 8 indexed citations
9.
Almetwally, Ehab M., Sanku Dey, & Saralees Nadarajah. (2022). An Overview of Discrete Distributions in Modelling COVID-19 Data Sets. Sankhya A. 85(2). 1403–1430. 6 indexed citations
10.
Wang, Liang, et al.. (2021). Analysis of dependent left-truncated and right-censored competing risks data with partially observed failure causes. Mathematics and Computers in Simulation. 194. 285–307. 5 indexed citations
11.
Sharma, Vikas Kumar & Sanku Dey. (2019). Estimation of reliability of multicomponent stress-strength inverted exponentiated Rayleigh model. Journal of Industrial and Production Engineering. 36(3). 181–192. 10 indexed citations
12.
Pak, Abbas & Sanku Dey. (2018). Statistical Inference for the power Lindley model based on record values and inter-record times. Journal of Computational and Applied Mathematics. 347. 156–172. 18 indexed citations
13.
Nassar, Mazen, Devendra Kumar, Sanku Dey, Gauss M. Cordeiro, & Ahmed Z. Afify. (2018). The Marshall–Olkin alpha power family of distributions with applications. Journal of Computational and Applied Mathematics. 351. 41–53. 66 indexed citations
14.
Saha, Mahendra, Sanku Dey, & Sudhansu S. Maiti. (2018). Parametric and non-parametric bootstrap confidence intervals ofCNpkfor exponential power distribution. Journal of Industrial and Production Engineering. 35(3). 160–169. 25 indexed citations
15.
Mazucheli, Josmar & Sanku Dey. (2017). Bias-corrected maximum likelihood estimation of the parameters of the generalized half-normal distribution. Journal of Statistical Computation and Simulation. 88(6). 1027–1038. 13 indexed citations
16.
Dey, Sanku, et al.. (2017). Comparisons of Methods of Estimation for the NH Distribution. Annals of Data Science. 4(4). 441–455. 32 indexed citations
17.
Dey, Sanku, Sajid Ali, & Chanseok Park. (2015). Weighted exponential distribution: properties and different methods of estimation. Journal of Statistical Computation and Simulation. 85(18). 3641–3661. 73 indexed citations
18.
Dey, Sanku. (2014). A study on family planning acceptance among slum dwellers in Shillong Meghalaya.. Indian Journal of Community Health. 26(1). 111–114. 3 indexed citations
19.
Dey, Sanku & Tanujit Dey. (2011). Bayesian Estimation and Prediction on Inverse Rayleigh Distribution. 22(4). 343–356. 2 indexed citations
20.
Dey, Sanku. (1975). Comparison of Relative Risk Functions of the Rayleigh: Distribution Under Type-II Censored Samples: Bayesian Approach.

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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