Kapil Kumar

656 total citations
35 papers, 501 citations indexed

About

Kapil Kumar is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Kapil Kumar has authored 35 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 22 papers in Statistics, Probability and Uncertainty and 10 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Kapil Kumar's work include Statistical Distribution Estimation and Applications (28 papers), Probabilistic and Robust Engineering Design (21 papers) and Reliability and Maintenance Optimization (9 papers). Kapil Kumar is often cited by papers focused on Statistical Distribution Estimation and Applications (28 papers), Probabilistic and Robust Engineering Design (21 papers) and Reliability and Maintenance Optimization (9 papers). Kapil Kumar collaborates with scholars based in India, United States and Ireland. Kapil Kumar's co-authors include Hare Krishna, R. Saravana, K. V. Narasimha Murthy, Renu Garg, Vivekanand Vivekanand, Kashyap Kumar Dubey, Manisha Sharma, Indranil Ghosh, Hon Keung Tony Ng and Ajit Chaturvedi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Quality & Reliability Management.

In The Last Decade

Kapil Kumar

31 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kapil Kumar India 12 371 288 100 96 40 35 501
Abhimanyu Singh Yadav India 13 402 1.1× 287 1.0× 53 0.5× 79 0.8× 14 0.3× 65 626
Bander Al-Zahrani Saudi Arabia 13 527 1.4× 300 1.0× 103 1.0× 102 1.1× 9 0.2× 44 564
Mahdi Teimouri Iran 10 215 0.6× 134 0.5× 62 0.6× 28 0.3× 43 1.1× 40 326
Sadegh Rezaei Iran 11 344 0.9× 261 0.9× 78 0.8× 82 0.9× 15 0.4× 39 452
Hanieh Panahi Iran 12 364 1.0× 261 0.9× 79 0.8× 112 1.2× 4 0.1× 33 410
Alamgir Khalil Pakistan 12 215 0.6× 80 0.3× 93 0.9× 26 0.3× 18 0.5× 52 536
Ahmed Elshahhat Egypt 14 576 1.6× 433 1.5× 123 1.2× 145 1.5× 10 0.3× 98 653
Oluwole A. Odetunmibi Nigeria 14 106 0.3× 61 0.2× 44 0.4× 34 0.4× 16 0.4× 42 396
Jalmar M. F. Carrasco Brazil 6 318 0.9× 213 0.7× 66 0.7× 81 0.8× 8 0.2× 14 362
Michelli Barros Brazil 12 563 1.5× 201 0.7× 70 0.7× 66 0.7× 37 0.9× 20 674

Countries citing papers authored by Kapil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Kapil Kumar. A scholar is included among the top collaborators of Kapil Kumar 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 Kapil Kumar. Kapil Kumar 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.
Sahoo, R.K., et al.. (2025). Stress-strength reliability estimation from xgamma distribution based on progressively censored samples. International Journal of Information Technology. 17(6). 3415–3424.
2.
Kumar, Kapil, et al.. (2025). Statistical inference and prediction in unified hybrid censored power Lindley distribution. Life Cycle Reliability and Safety Engineering. 14(2). 183–204.
3.
4.
Kumar, Kapil, et al.. (2024). Reliability estimation for inverse Pareto lifetime model based on unified hybrid censored data. International Journal of Systems Assurance Engineering and Management. 15(6). 2473–2482. 2 indexed citations
5.
Kumar, Kapil, et al.. (2024). On Estimation of Shannon’s Entropy of Maxwell Distribution Based on Progressively First-Failure Censored Data. SHILAP Revista de lepidopterología. 7(1). 138–159. 4 indexed citations
6.
Kumar, Kapil, et al.. (2023). Reliability Estimation in Inverse Pareto Distribution Using Progressively First Failure Censored Data. American Journal of Mathematical and Management Sciences. 42(2). 126–147. 7 indexed citations
7.
Kumar, Kapil, et al.. (2023). An inferential analysis for the Weibull-G family of distributions under progressively censored data. OPSEARCH. 60(3). 1488–1524. 4 indexed citations
8.
Kumar, Kapil, et al.. (2023). Bayesian and classical inference in Maxwell distribution under adaptive progressively Type-II censored data. International Journal of Systems Assurance Engineering and Management. 15(3). 1015–1036. 2 indexed citations
10.
Kumar, Ashish, Ravi Chaudhary, Kapil Kumar, et al.. (2023). Stochastic modeling and parameter estimation of turbogenerator unit of a thermal power plant under classical and Bayesian inferential framework. PLoS ONE. 18(10). e0292154–e0292154. 3 indexed citations
11.
Kumar, Kapil, et al.. (2023). Estimation and prediction in generalized half logistic lifetime model using hybrid censored data. International Journal of Quality & Reliability Management. 40(9). 2041–2063. 2 indexed citations
12.
Kumar, Kapil, et al.. (2022). Inference for reliability in a multicomponent stress-strength model from generalized inverted exponential lifetime distribution under progressive first failure censoring. Journal of Statistical Computation and Simulation. 93(6). 863–887. 14 indexed citations
13.
Kumar, Kapil, et al.. (2021). On estimation of $$P(V<U)$$ for inverse Pareto distribution under progressively censored data. International Journal of Systems Assurance Engineering and Management. 13(1). 189–202. 18 indexed citations
14.
Kumar, Kapil, et al.. (2018). PREDICTING THE STOCK PRICE USING LINEAR REGRESSION. International Journal of Advanced Research in Computer Science. 9. 81–85. 2 indexed citations
15.
Murthy, K. V. Narasimha, R. Saravana, & Kapil Kumar. (2018). Stochastic modelling of the monthly average maximum and minimum temperature patterns in India 1981–2015. Meteorology and Atmospheric Physics. 131(4). 775–787. 9 indexed citations
16.
Kumar, Kapil. (2017). Classical and Bayesian estimation in log-logistic distribution under random censoring. International Journal of Systems Assurance Engineering and Management. 9(2). 440–451. 16 indexed citations
17.
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
18.
Kumar, Kapil, et al.. (2013). Comparison of different methods for assessing sperm concentration in infertility workup: A review. International Journal of Medicine and Medical Sciences. 5(9). 396–400. 5 indexed citations
19.
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
20.
Kumar, Kapil. (2002). Nonnormal disturbances : testing normality in linear statistical models.

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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