Hare Krishna

1.1k total citations
37 papers, 900 citations indexed

About

Hare Krishna is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Hare Krishna has authored 37 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics and Probability, 28 papers in Statistics, Probability and Uncertainty and 16 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Hare Krishna's work include Statistical Distribution Estimation and Applications (36 papers), Probabilistic and Robust Engineering Design (24 papers) and Reliability and Maintenance Optimization (16 papers). Hare Krishna is often cited by papers focused on Statistical Distribution Estimation and Applications (36 papers), Probabilistic and Robust Engineering Design (24 papers) and Reliability and Maintenance Optimization (16 papers). Hare Krishna collaborates with scholars based in India. Hare Krishna's co-authors include Kapil Kumar, Renu Garg, Debasis Kundu, Vivekanand Vivekanand, Bhupendra Singh and Kashish Sharma and has published in prestigious journals such as Reliability Engineering & System Safety, Computational Statistics & Data Analysis and IEEE Transactions on Reliability.

In The Last Decade

Hare Krishna

37 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hare Krishna India 16 808 525 177 144 104 37 900
Wenhao Gui China 17 777 1.0× 531 1.0× 196 1.1× 116 0.8× 81 0.8× 125 896
Biswabrata Pradhan India 14 868 1.1× 583 1.1× 173 1.0× 132 0.9× 70 0.7× 61 946
Sanku Dey India 20 968 1.2× 694 1.3× 239 1.4× 166 1.2× 76 0.7× 96 1.2k
Ahmed A. Soliman Egypt 18 930 1.2× 682 1.3× 250 1.4× 151 1.0× 89 0.9× 51 1.0k
Mahdi Doostparast Iran 15 640 0.8× 484 0.9× 258 1.5× 89 0.6× 94 0.9× 80 810
D. K. Al-Mutairi Kuwait 13 987 1.2× 668 1.3× 261 1.5× 167 1.2× 150 1.4× 38 1.1k
Muhammad Shuaib Khan Australia 15 618 0.8× 316 0.6× 99 0.6× 160 1.1× 74 0.7× 35 734
Faton Merovcı Kosovo 16 826 1.0× 508 1.0× 150 0.8× 205 1.4× 113 1.1× 39 914
Ahmed M. Gemeay Egypt 20 1.0k 1.2× 494 0.9× 119 0.7× 184 1.3× 128 1.2× 123 1.1k
Broderick O. Oluyede Botswana 16 805 1.0× 475 0.9× 85 0.5× 259 1.8× 74 0.7× 136 895

Countries citing papers authored by Hare Krishna

Since Specialization
Citations

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

Fields of papers citing papers by Hare Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hare Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of Hare Krishna. A scholar is included among the top collaborators of Hare Krishna 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 Hare Krishna. Hare Krishna 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.
Krishna, Hare, et al.. (2023). Inferences Based on Correlated Randomly Censored Gumbel’s Type-I Bivariate Exponential Distribution. Annals of Data Science. 2 indexed citations
2.
Krishna, Hare, et al.. (2021). Statistical inference for two Lindley populations under balanced joint progressive type-II censoring scheme. Computational Statistics. 37(1). 263–286. 10 indexed citations
3.
Krishna, Hare, et al.. (2021). Estimation in Residual lifetime Lindley distribution with Type II censored data. International Journal of Systems Assurance Engineering and Management. 13(1). 363–374. 2 indexed citations
4.
Garg, Renu, et al.. (2020). Estimation of Parameters and Reliability Characteristics in Lindley Distribution Using Randomly Censored Data. Statistics Optimization & Information Computing. 8(1). 80–97. 12 indexed citations
5.
Krishna, Hare, et al.. (2020). Jointly type-II censored Lindley distributions. Communication in Statistics- Theory and Methods. 51(1). 135–149. 9 indexed citations
6.
Krishna, Hare, et al.. (2018). Estimation of Stress Strength Reliability of Inverse Weibull Distribution under Progressive First Failure Censoring. Austrian Journal of Statistics. 48(1). 14–37. 12 indexed citations
7.
Krishna, Hare, et al.. (2017). Maximum Likelihood and Bayes Estimation in Randomly Censored Geometric Distribution. Journal of Probability and Statistics. 2017. 1–12. 14 indexed citations
8.
Garg, Renu, et al.. (2016). On Randomly Censored Generalized Inverted Exponential Distribution. American Journal of Mathematical and Management Sciences. 35(4). 361–379. 20 indexed citations
9.
Kumar, Kapil, Renu Garg, & Hare Krishna. (2016). Nakagami distribution as a reliability model under progressive censoring. International Journal of Systems Assurance Engineering and Management. 8(1). 109–122. 17 indexed citations
10.
Krishna, Hare, et al.. (2015). Generalized inverted exponential distribution under progressive first-failure censoring. Journal of Statistical Computation and Simulation. 86(6). 1095–1114. 56 indexed citations
11.
Krishna, Hare & Kapil Kumar. (2012). Reliability estimation in generalized inverted exponential distribution with progressively type II censored sample. Journal of Statistical Computation and Simulation. 83(6). 1007–1019. 106 indexed citations
12.
Krishna, Hare, et al.. (2011). Reliability estimation in Maxwell distribution with progressively Type-II censored data. Journal of Statistical Computation and Simulation. 82(4). 623–641. 41 indexed citations
13.
Kundu, Debasis, et al.. (2009). On Type-II Progressively Hybrid Censoring. Journal of Modern Applied Statistical Methods. 8(2). 534–546. 9 indexed citations
14.
Krishna, Hare, et al.. (2009). A Bivariate Geometric Distribution with Applications to Reliability. Communication in Statistics- Theory and Methods. 38(7). 1079–1093. 20 indexed citations
15.
Krishna, Hare, et al.. (2008). Estimation of reliability characteristics of general system configuration. International Journal of Quality & Reliability Management. 25(7). 772–786. 4 indexed citations
16.
Krishna, Hare, et al.. (1997). Bayes estimation of the mixture of hazard-rate model. Reliability Engineering & System Safety. 55(1). 9–13. 9 indexed citations
17.
Krishna, Hare & Kashish Sharma. (1995). Inferences on availability ratio. Microelectronics Reliability. 35(1). 105–108. 2 indexed citations
18.
Krishna, Hare, et al.. (1994). On the estimation of sample size and censoring time in life testing experiments. Microelectronics Reliability. 34(1). 125–134. 2 indexed citations
19.
Krishna, Hare, et al.. (1994). Asymptotic sampling distribution of inverse coefficient-of-variation and its applications. IEEE Transactions on Reliability. 43(4). 630–633. 46 indexed citations
20.
Krishna, Hare, et al.. (1993). Reliability bounds for some static system models using lifetime data on their components. Microelectronics Reliability. 33(8). 1081–1083. 1 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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