Subhash C. Kochar

4.4k total citations
130 papers, 3.2k citations indexed

About

Subhash C. Kochar is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Subhash C. Kochar has authored 130 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Statistics and Probability, 51 papers in Management Science and Operations Research and 39 papers in Statistics, Probability and Uncertainty. Recurrent topics in Subhash C. Kochar's work include Statistical Distribution Estimation and Applications (105 papers), Probability and Risk Models (47 papers) and Probabilistic and Robust Engineering Design (33 papers). Subhash C. Kochar is often cited by papers focused on Statistical Distribution Estimation and Applications (105 papers), Probability and Risk Models (47 papers) and Probabilistic and Robust Engineering Design (33 papers). Subhash C. Kochar collaborates with scholars based in India, United States and Canada. Subhash C. Kochar's co-authors include ‎Baha-Eldin Khaledi, Maochao Xu, Jayant V. Deshpandé, Francisco J. Samaniego, Hari Mukerjee, Javier Rojo, Richard L. Dykstra, Isha Bagai, Arthur Cohen and Betty Jones Whitten and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrika.

In The Last Decade

Subhash C. Kochar

127 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhash C. Kochar India 33 2.8k 1.4k 951 664 449 130 3.2k
Rameshwar D. Gupta Canada 26 4.3k 1.5× 3.1k 2.1× 635 0.7× 925 1.4× 506 1.1× 66 4.7k
Henry W. Block United States 23 1.7k 0.6× 626 0.4× 751 0.8× 894 1.3× 267 0.6× 66 2.3k
Thomas H. Savits United States 22 1.5k 0.5× 579 0.4× 663 0.7× 1.1k 1.6× 240 0.5× 80 2.4k
G. G. Hamedani United States 31 2.7k 0.9× 1.4k 1.0× 533 0.6× 274 0.4× 543 1.2× 237 3.0k
Francisco J. Samaniego United States 28 2.4k 0.8× 1.4k 1.0× 341 0.4× 1.3k 2.0× 134 0.3× 117 3.2k
Morad Alizadeh Iran 31 2.8k 1.0× 1.7k 1.1× 385 0.4× 307 0.5× 533 1.2× 142 3.0k
J. D. Esary United States 15 1.1k 0.4× 551 0.4× 903 0.9× 786 1.2× 381 0.8× 22 2.2k
Tomasz Rychlik Poland 18 1.1k 0.4× 571 0.4× 300 0.3× 362 0.5× 341 0.8× 91 1.6k
Allan Gut Sweden 22 807 0.3× 232 0.2× 1.2k 1.3× 280 0.4× 657 1.5× 88 2.4k
Udo Kamps Germany 23 2.2k 0.8× 1.6k 1.1× 369 0.4× 490 0.7× 361 0.8× 112 2.4k

Countries citing papers authored by Subhash C. Kochar

Since Specialization
Citations

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

Fields of papers citing papers by Subhash C. Kochar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhash C. Kochar. 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 Subhash C. Kochar. The network helps show where Subhash C. Kochar may publish in the future.

Co-authorship network of co-authors of Subhash C. Kochar

This figure shows the co-authorship network connecting the top 25 collaborators of Subhash C. Kochar. A scholar is included among the top collaborators of Subhash C. Kochar 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 Subhash C. Kochar. Subhash C. Kochar 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.
Kochar, Subhash C. & Maochao Xu. (2009). Comparisons of Parallel Systems According to the Convex Transform Order. Journal of Applied Probability. 46(2). 342–352. 40 indexed citations
2.
Kochar, Subhash C. & Maochao Xu. (2009). Comparisons of Parallel Systems According to the Convex Transform Order. Journal of Applied Probability. 46(2). 342–352. 18 indexed citations
3.
Genest, Christian, Subhash C. Kochar, & Maochao Xu. (2009). On the range of heterogeneous samples. Journal of Multivariate Analysis. 100(8). 1587–1592. 16 indexed citations
4.
Kochar, Subhash C. & Maochao Xu. (2009). On the right spread order of convolutions of heterogeneous exponential random variables. Journal of Multivariate Analysis. 101(1). 165–176. 36 indexed citations
5.
Kochar, Subhash C. & Maochao Xu. (2008). A new dependence ordering with applications. Journal of Multivariate Analysis. 99(9). 2172–2184. 1 indexed citations
6.
Genest, Christian, et al.. (2007). On the dependence between the extreme order statistics in the proportional hazards model. Journal of Multivariate Analysis. 99(5). 777–786. 13 indexed citations
7.
Khaledi, ‎Baha-Eldin & Subhash C. Kochar. (2004). Ordering convolutions of gamma random variables. 66(3). 466–473. 23 indexed citations
8.
Genest, Christian, et al.. (2004). On the dependence structure of order statistics. Journal of Multivariate Analysis. 94(1). 159–171. 34 indexed citations
9.
Boland, Philip J., Myles Hollander, Kumar Joag‐Dev, & Subhash C. Kochar. (1996). Bivariate Dependence Properties of Order Statistics. Journal of Multivariate Analysis. 56(1). 75–89. 41 indexed citations
10.
Kochar, Subhash C. & Ramesh M. Korwar. (1996). Stochastic Orders for Spacings of Heterogeneous Exponential Random Variables. Journal of Multivariate Analysis. 57(1). 69–83. 49 indexed citations
11.
Kochar, Subhash C. & Javier Rojo. (1996). Some New Results on Stochastic Comparisons of Spacings from Heterogeneous Exponential Distributions. Journal of Multivariate Analysis. 59(2). 272–281. 63 indexed citations
12.
Bapat, R.B. & Subhash C. Kochar. (1994). On likelihood-ratio ordering of order statistics. Linear Algebra and its Applications. 199. 281–291. 35 indexed citations
13.
Aly, Emad‐Eldin A. A. & Subhash C. Kochar. (1993). On hazard rate ordering of dependent variables. Advances in Applied Probability. 25(2). 477–482. 3 indexed citations
14.
Hawkins, D.L., Subhash C. Kochar, & Clive Loader. (1992). Testing Exponentiality Against IDMRL Distributions with Unknown Change Point. The Annals of Statistics. 20(1). 13 indexed citations
15.
Kochar, Subhash C.. (1990). Some partial ordering results on record values. Communication in Statistics- Theory and Methods. 19(1). 299–306. 36 indexed citations
16.
Kochar, Subhash C.. (1990). On preservation of some partial orderings under shock models. Advances in Applied Probability. 22(2). 508–509. 2 indexed citations
17.
Kochar, Subhash C.. (1990). On preservation of some partial orderings under shock models. Advances in Applied Probability. 22(2). 508–509. 11 indexed citations
18.
Bagai, Isha, Jayant V. Deshpandé, & Subhash C. Kochar. (1989). A distribution-free test for the equality of failure rates due to two competing risks. Communication in Statistics- Theory and Methods. 18(1). 107–120. 17 indexed citations
19.
Bagai, Isha & Subhash C. Kochar. (1986). On tail-ordering and comparison of failure rates. Communication in Statistics- Theory and Methods. 15(4). 1377–1388. 98 indexed citations
20.
Deshpandé, Jayant V. & Subhash C. Kochar. (1983). Dispersive ordering is the same as tail-ordering. Advances in Applied Probability. 15(3). 686–687. 31 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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