Rahul Mukerjee

4.2k total citations
184 papers, 2.5k citations indexed

About

Rahul Mukerjee is a scholar working on Management Science and Operations Research, Statistics and Probability and Electrical and Electronic Engineering. According to data from OpenAlex, Rahul Mukerjee has authored 184 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Management Science and Operations Research, 94 papers in Statistics and Probability and 39 papers in Electrical and Electronic Engineering. Recurrent topics in Rahul Mukerjee's work include Optimal Experimental Design Methods (90 papers), Statistical Methods and Bayesian Inference (41 papers) and graph theory and CDMA systems (35 papers). Rahul Mukerjee is often cited by papers focused on Optimal Experimental Design Methods (90 papers), Statistical Methods and Bayesian Inference (41 papers) and graph theory and CDMA systems (35 papers). Rahul Mukerjee collaborates with scholars based in India, United States and Canada. Rahul Mukerjee's co-authors include Arijit Chaudhuri, Aloke Dey, Gauri Sankar Datta, C. F. Jeff Wu, Changbao Wu, Gad Nathan, Jayanta K. Ghosh, Boxin Tang, Dipak K. Dey and Ching‐Shui Cheng and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Marketing Research.

In The Last Decade

Rahul Mukerjee

165 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Mukerjee India 24 1.3k 1.2k 660 389 321 184 2.5k
Hsien-Chung Wu Taiwan 27 1.5k 1.2× 1.1k 0.9× 668 1.0× 51 0.1× 270 0.8× 125 2.3k
J. N. Srivastava United States 19 444 0.4× 1.1k 0.9× 385 0.6× 460 1.2× 199 0.6× 63 1.5k
John S. Ramberg United States 17 848 0.7× 493 0.4× 121 0.2× 52 0.1× 546 1.7× 47 1.7k
Robert E. Bechhofer United States 20 1.1k 0.9× 1.3k 1.0× 212 0.3× 36 0.1× 613 1.9× 65 2.1k
Colm Art O’Cinneide United States 15 265 0.2× 336 0.3× 233 0.4× 87 0.2× 88 0.3× 41 1.6k
S. S. Lavenberg United States 19 169 0.1× 655 0.5× 359 0.5× 298 0.8× 132 0.4× 37 2.2k
Paul J. Schweitzer United States 22 249 0.2× 402 0.3× 414 0.6× 180 0.5× 34 0.1× 89 2.4k
Bernd Heidergott Netherlands 18 216 0.2× 330 0.3× 451 0.7× 66 0.2× 66 0.2× 95 1.2k
Eugene A. Feinberg United States 19 185 0.1× 421 0.3× 216 0.3× 291 0.7× 48 0.1× 103 1.5k
Avi Mandelbaum Israel 17 211 0.2× 565 0.5× 120 0.2× 347 0.9× 46 0.1× 30 1.8k

Countries citing papers authored by Rahul Mukerjee

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Mukerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Mukerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Mukerjee. A scholar is included among the top collaborators of Rahul Mukerjee 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 Rahul Mukerjee. Rahul Mukerjee 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.
Mukerjee, Rahul. (2024). Efficient Augmented Block Designs for Unreplicated Test Treatments Along with Replicated Controls. Journal of Agricultural Biological and Environmental Statistics. 30(4). 983–1002.
2.
Mukerjee, Rahul. (2023). Improving upon the effective sample size based on Godambe information for block likelihood inference. Computational Statistics. 39(2). 891–904. 1 indexed citations
3.
Balakrishnan, N. & Rahul Mukerjee. (2023). On optimal joint prediction of order statistics. Statistics. 57(5). 1239–1250.
4.
Chambers, Robert, Andrés Hueso, Rahul Mukerjee, et al.. (2018). Using immersive research to understand rural sanitation: lessons from the Swachh Bharat Mission in India. Loughborough University Institutional Repository (Loughborough University). 4 indexed citations
5.
Mukerjee, Rahul & S. H. Ong. (2015). Variance and covariance inequalities for truncated joint normal distribution via monotone likelihood ratio and log-concavity. Journal of Multivariate Analysis. 139. 1–6. 3 indexed citations
6.
Zhang, Runchu & Rahul Mukerjee. (2013). Highly efficient factorial designs for cDNA microarray experiments: use of approximate theory together with a step-up step-down procedure. Statistical Applications in Genetics and Molecular Biology. 12(4). 489–503. 6 indexed citations
7.
Mukerjee, Rahul, et al.. (2009). Optimal (k, n) visual cryptographic schemes for general k. Designs Codes and Cryptography. 55(1). 19–35. 27 indexed citations
8.
Banerjee, Tathagata & Rahul Mukerjee. (2008). Optimal factorial designs for cDNA microarray experiments. The Annals of Applied Statistics. 2(1). 23 indexed citations
9.
Mukerjee, Rahul, Peter Z. G. Qian, & Changbao Wu. (2007). On the existence of nested orthogonal arrays. Discrete Mathematics. 308(20). 4635–4642. 20 indexed citations
10.
Dey, Aloke & Rahul Mukerjee. (1999). Fractional Factorial Plans. Wiley series in probability and statistics. 134 indexed citations
11.
Mukerjee, Rahul, et al.. (1999). Optimal designs for diallel crosses with specific combining abilities. Biometrika. 86(86). 453–458. 4 indexed citations
12.
Rao, C. Radhakrishna & Rahul Mukerjee. (1997). Comparison of LR, Score, and Wald Tests in a Non-IID Setting. Journal of Multivariate Analysis. 60(1). 99–110. 19 indexed citations
13.
Mukerjee, Rahul & Sanpei Kageyama. (1994). On existence of two symbol complete orthogonal arrays. Journal of Combinatorial Theory Series A. 66(1). 176–181. 3 indexed citations
14.
Mukerjee, Rahul. (1992). Conditional likelihood and power: higher-order asymptotics. Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences. 438(1904). 433–446. 14 indexed citations
15.
Ghosh, Jayanta K. & Rahul Mukerjee. (1991). Characterization of priors under which Bayesian and frequentist Bartlett corrections are equivalent in the multiparameter case. Journal of Multivariate Analysis. 38(2). 385–393. 28 indexed citations
16.
Mukerjee, Rahul & Sudhir Gupta. (1991). Geometric construction of balanced block designs with nested rows and columns. Discrete Mathematics. 91(1). 105–108. 3 indexed citations
17.
Mukerjee, Rahul. (1990). Comparison of tests in the multiparameter case I. Second-order power. Journal of Multivariate Analysis. 33(1). 17–30. 13 indexed citations
18.
Mukerjee, Rahul. (1990). Comparison of tests in the multiparameter case II. A third-order optimality property of Rao's test. Journal of Multivariate Analysis. 33(1). 31–48. 14 indexed citations
19.
Mukerjee, Rahul, Masakazu Jimbo, & Sanpei Kageyama. (1987). On cyclic semiregular group divisible designs. Osaka Journal of Mathematics. 24(2). 395–407. 2 indexed citations
20.
Chaudhuri, Arijit & Rahul Mukerjee. (1985). Optionally Randomized Response Techniques. Calcutta Statistical Association Bulletin. 34(3-4). 225–230. 22 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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