Somesh Kumar

690 total citations
81 papers, 453 citations indexed

About

Somesh Kumar is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Somesh Kumar has authored 81 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Statistics and Probability, 25 papers in Artificial Intelligence and 15 papers in Statistics, Probability and Uncertainty. Recurrent topics in Somesh Kumar's work include Statistical Distribution Estimation and Applications (54 papers), Statistical Methods and Bayesian Inference (35 papers) and Advanced Statistical Methods and Models (29 papers). Somesh Kumar is often cited by papers focused on Statistical Distribution Estimation and Applications (54 papers), Statistical Methods and Bayesian Inference (35 papers) and Advanced Statistical Methods and Models (29 papers). Somesh Kumar collaborates with scholars based in India, Greece and Germany. Somesh Kumar's co-authors include Nitin Gupta, P. Vellaisamy, Yogesh Mani Tripathi, Neeraj Misra, Suchandan Kayal, Kashinath Chatterjee, Nabendu Pal, Jyh-Jiuan Lin, Ching-Hui Chang and Ram C. Tiwari and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and European Journal of Operational Research.

In The Last Decade

Somesh Kumar

73 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Somesh Kumar India 12 412 156 112 64 35 81 453
Guoxin Qiu China 10 413 1.0× 274 1.8× 96 0.9× 50 0.8× 61 1.7× 21 468
Alі İ. Genç Türkiye 11 413 1.0× 272 1.7× 70 0.6× 82 1.3× 73 2.1× 37 433
Abdullah M. Almarashi Saudi Arabia 14 399 1.0× 260 1.7× 50 0.4× 84 1.3× 38 1.1× 55 468
Bander Al-Zahrani Saudi Arabia 13 527 1.3× 300 1.9× 68 0.6× 102 1.6× 41 1.2× 44 564
E. I. Abdul Sathar India 10 288 0.7× 167 1.1× 47 0.4× 28 0.4× 36 1.0× 54 321
Ali A. Al-Shomrani Saudi Arabia 6 307 0.7× 184 1.2× 31 0.3× 48 0.8× 54 1.5× 21 351
Eslam Hussam Saudi Arabia 13 426 1.0× 235 1.5× 50 0.4× 51 0.8× 52 1.5× 71 496
Hisham M. Almongy Egypt 15 466 1.1× 263 1.7× 58 0.5× 96 1.5× 34 1.0× 27 508
Abdulhakim A. Al-Babtain Saudi Arabia 11 413 1.0× 207 1.3× 42 0.4× 61 1.0× 54 1.5× 31 438
Najwan Alsadat Saudi Arabia 12 417 1.0× 229 1.5× 34 0.3× 56 0.9× 54 1.5× 65 456

Countries citing papers authored by Somesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Somesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Somesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Somesh Kumar. A scholar is included among the top collaborators of Somesh 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 Somesh Kumar. Somesh 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.
Kumar, Somesh, et al.. (2024). Bootstrap tests for simultaneous monotone ordering of effects in a two‐way ANOVA. Biometrical Journal. 66(3). e2300238–e2300238.
2.
Pauly, Markus, et al.. (2024). Testing against ordered alternatives in one-way ANOVA model with exponential errors. Annals of the Institute of Statistical Mathematics. 76(4). 649–678.
3.
4.
Kumar, Somesh, et al.. (2022). Point and Interval Estimation of Powers of Scale Parameters for Two Normal Populations with a Common Mean. Statistical Papers. 64(5). 1775–1804.
5.
Kumar, Somesh, et al.. (2020). The limit theorems for a previous k-sum dependent model. Journal of Mathematical Analysis and Applications. 487(2). 124004–124004.
6.
Kayal, Suchandan, et al.. (2020). Measuring Uncertainty Under Prior Information. IEEE Transactions on Information Theory. 66(4). 2570–2580. 5 indexed citations
7.
Kumar, Somesh, et al.. (2019). Inference on stress–strength reliability for exponential distributions with a common scale parameter. Journal of Applied Statistics. 46(16). 3008–3031. 5 indexed citations
8.
Kumar, Somesh, et al.. (2019). Limit Theorems for Sums of Dependent and Non-Identical Bernoulli Random Variables. American Journal of Mathematical and Management Sciences. 39(2). 150–165.
9.
Kumar, Somesh, et al.. (2019). On efficiency and robustness of estimators for a spherical location. Statistics. 53(3). 601–629. 3 indexed citations
10.
Kumar, Somesh, et al.. (2019). Stress-strength reliability estimation for exponentially distributed system with common minimum guarantee time. Communication in Statistics- Theory and Methods. 49(14). 3375–3396. 3 indexed citations
11.
Kumar, Somesh, et al.. (2018). Equivariant estimation of quantile vector of two normal populations with a common mean. Hacettepe Journal of Mathematics and Statistics. 48(1).
12.
Kumar, Somesh, et al.. (2016). Bayes estimation for exponential distributions with common location parameter and applications to multi-state reliability models. Journal of Applied Statistics. 43(15). 2697–2712. 13 indexed citations
13.
Kumar, Somesh, et al.. (2014). A unified approach to decision-theoretic properties of the MLEs for the mean directions of several Langevin distributions. Journal of Multivariate Analysis. 133. 160–172. 5 indexed citations
14.
Gupta, Nitin & Somesh Kumar. (2014). Stochastic comparisons of component and system redundancies with dependent components. Operations Research Letters. 42(4). 284–289. 19 indexed citations
15.
Kumar, Somesh, et al.. (2011). Simultaneous estimation of hazard rates of several exponential populations. Statistica Neerlandica. 66(2). 121–132. 9 indexed citations
16.
Kumar, Somesh, et al.. (2008). Admissibility of the Pitman Estimator of Ordered Location Parameters. International Journal of Applied Mathematics & Statistics. 13. 78–85. 1 indexed citations
17.
Misra, Neeraj, Somesh Kumar, E. van der Meulen, & Yogesh Mani Tripathi. (2005). A Subset Selection Procedure for Selecting the Exponential Population Having the Longest Mean Lifetime When the Guarantee Times are the Same. Communication in Statistics- Theory and Methods. 34(7). 1555–1569. 5 indexed citations
18.
Kumar, Somesh & Ram C. Tiwari. (1989). Bayes estimation of the reliability of a system under a random environment governed by a Dirichlet prior. Microelectronics Reliability. 29(2). 255–265. 2 indexed citations
19.
Vellaisamy, P., et al.. (1988). Estimating the mean of the selected uniform population. Communication in Statistics- Theory and Methods. 17(10). 3447–3475. 23 indexed citations
20.
Kumar, Somesh, et al.. (1988). Simultaneous estimation of ordered parameters. Communication in Statistics- Theory and Methods. 17(12). 4315–4336. 26 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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