B. Chandrasekar

845 total citations
24 papers, 558 citations indexed

About

B. Chandrasekar is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, B. Chandrasekar has authored 24 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 8 papers in Statistics, Probability and Uncertainty and 6 papers in Management Science and Operations Research. Recurrent topics in B. Chandrasekar's work include Statistical Distribution Estimation and Applications (11 papers), Probabilistic and Robust Engineering Design (6 papers) and Advanced Statistical Methods and Models (6 papers). B. Chandrasekar is often cited by papers focused on Statistical Distribution Estimation and Applications (11 papers), Probabilistic and Robust Engineering Design (6 papers) and Advanced Statistical Methods and Models (6 papers). B. Chandrasekar collaborates with scholars based in Canada, India and United States. B. Chandrasekar's co-authors include N. Balakrishnan, Aaron Childs, Debasis Kundu, B. K. Kale, N. Balakrishnan, Sivasankaran Rajamanickam and Sumit Kumar Jha and has published in prestigious journals such as Microelectronics Reliability, Journal of Statistical Planning and Inference and Naval Research Logistics (NRL).

In The Last Decade

B. Chandrasekar

20 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Chandrasekar Canada 8 530 350 111 110 87 24 558
Yogesh Mani Tripathi India 14 497 0.9× 348 1.0× 84 0.8× 115 1.0× 94 1.1× 34 525
M.A.W. Mahmoud Egypt 12 465 0.9× 288 0.8× 70 0.6× 201 1.8× 65 0.7× 83 556
S.K. Upadhyay India 13 338 0.6× 204 0.6× 56 0.5× 89 0.8× 43 0.5× 52 437
Han Ming China 11 355 0.7× 261 0.7× 50 0.5× 104 0.9× 47 0.5× 47 430
M. M. Mohie El-Din Egypt 14 509 1.0× 336 1.0× 102 0.9× 177 1.6× 96 1.1× 67 554
Rashad M. EL‐Sagheer Egypt 11 334 0.6× 223 0.6× 63 0.6× 95 0.9× 43 0.5× 62 359
Sadegh Rezaei Iran 11 344 0.6× 261 0.7× 78 0.7× 82 0.7× 41 0.5× 39 452
Firoozeh Haghighi Iran 10 347 0.7× 266 0.8× 57 0.5× 170 1.5× 55 0.6× 31 463
Mustafa Nadar Türkiye 11 435 0.8× 362 1.0× 54 0.5× 170 1.5× 29 0.3× 23 451
Suchandan Kayal India 13 515 1.0× 332 0.9× 61 0.5× 93 0.8× 71 0.8× 83 562

Countries citing papers authored by B. Chandrasekar

Since Specialization
Citations

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

Fields of papers citing papers by B. Chandrasekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Chandrasekar

This figure shows the co-authorship network connecting the top 25 collaborators of B. Chandrasekar. A scholar is included among the top collaborators of B. Chandrasekar 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 B. Chandrasekar. B. Chandrasekar 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.
Chandrasekar, B., et al.. (2020). One dimensional fractional frequency Sumudu transform by inverse α−difference operator. 4(1). 1 indexed citations
2.
Chandrasekar, B., et al.. (2016). • MATRIX-GEOMETRIC METHOD FOR QUEUEING MODEL WITH MULTIPLE VACATION, N-POLICY, SERVER BREAKDOWN, REPAIR AND INTERRUPTION VACATION. 7(1). 2 indexed citations
3.
Chandrasekar, B., et al.. (2016). Automated synthesis of stochastic computational elements using decision procedures. Journal of International Crisis and Risk Communication Research. 1678–1681.
4.
Chandrasekar, B., et al.. (2013). Reliability measures of systems with location-scale acbve components. Reliability: Theory & Applications. 8. 1 indexed citations
5.
Chandrasekar, B., et al.. (2005). Simultaneous equivariant estimation of the parameters of matrix scale and matrix location-scale models. Statistical Papers. 46(4). 483–507. 3 indexed citations
6.
Chandrasekar, B., Aaron Childs, & N. Balakrishnan. (2004). Exact likelihood inference for the exponential distribution under generalized Type‐I and Type‐II hybrid censoring. Naval Research Logistics (NRL). 51(7). 994–1004. 121 indexed citations
7.
Chandrasekar, B. & N. Balakrishnan. (2004). Property of bivariate poisson distribution and its application to stochastic processes. Statistics. 38(2). 161–165. 2 indexed citations
8.
Childs, Aaron, B. Chandrasekar, N. Balakrishnan, & Debasis Kundu. (2003). Exact likelihood inference based on Type-I and Type-II hybrid censored samples from the exponential distribution. Annals of the Institute of Statistical Mathematics. 55(2). 319–330. 271 indexed citations
9.
Chandrasekar, B., et al.. (2002). EQUIVARIANT ESTIMATION FOR PARAMETERS OF EXPONENTIAL DISTRIBUTIONS BASED ON TYPE-II PROGRESSIVELY CENSORED SAMPLES. Communication in Statistics- Theory and Methods. 31(10). 1675–1686. 16 indexed citations
10.
Chandrasekar, B. & N. Balakrishnan. (2002). Some properties and a characterization of trivariate and multivariate binomial distributions. Statistics. 36(3). 211–218. 2 indexed citations
11.
Balakrishnan, N., Aaron Childs, & B. Chandrasekar. (2002). An efficient computational method for moments of order statistics under progressive censoring. Statistics & Probability Letters. 60(4). 359–365. 51 indexed citations
12.
Chandrasekar, B. & N. Balakrishnan. (2002). On a Multiparameter Version of Tukey's Linear Sensitivity Measure and its Properties. Annals of the Institute of Statistical Mathematics. 54(4). 796–805. 2 indexed citations
13.
Chandrasekar, B., et al.. (1999). Characterization of an optimal matrix estimator under convex loss function. Statistical Papers. 40(4). 377–391. 2 indexed citations
14.
Chandrasekar, B., et al.. (1999). Equivariant Estimation for the Parameters of an Exponential Model Based on Censored Sampling. Biometrical Journal. 41(4). 471–481. 4 indexed citations
15.
Chandrasekar, B., et al.. (1997). Reliability measures for two-unit systems with a dependent structure for failure and repair times. Microelectronics Reliability. 37(5). 829–833. 24 indexed citations
16.
Chandrasekar, B., et al.. (1996). Universal Optimality of Nearest Neighbour Balanced Block Designs using Second Order Correlated Models. Biometrical Journal. 38(6). 725–730. 1 indexed citations
17.
Chandrasekar, B. & Sivasankaran Rajamanickam. (1996). A property of counting process in multivariate renewal theory. Microelectronics Reliability. 36(1). 111–113.
18.
Chandrasekar, B., et al.. (1994). A note on optimal vector unbiased predictor. Statistical Papers. 35(1). 71–80. 3 indexed citations
19.
Chandrasekar, B., et al.. (1993). Some results for multidimensional stationary independent increment processes. Statistical Papers. 34(1). 59–65. 3 indexed citations
20.
Chandrasekar, B. & B. K. Kale. (1984). Unbiased statistical estimation functions for parameters in presence of nuisance parameters. Journal of Statistical Planning and Inference. 9(1). 45–54. 15 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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