Malay Ghosh

7.1k total citations · 1 hit paper
165 papers, 4.8k citations indexed

About

Malay Ghosh is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Malay Ghosh has authored 165 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Statistics and Probability, 37 papers in Artificial Intelligence and 24 papers in Statistics, Probability and Uncertainty. Recurrent topics in Malay Ghosh's work include Statistical Methods and Bayesian Inference (63 papers), Statistical Methods and Inference (60 papers) and Advanced Statistical Methods and Models (43 papers). Malay Ghosh is often cited by papers focused on Statistical Methods and Bayesian Inference (63 papers), Statistical Methods and Inference (60 papers) and Advanced Statistical Methods and Models (43 papers). Malay Ghosh collaborates with scholars based in United States, India and Canada. Malay Ghosh's co-authors include James O. Berger, Gauri Sankar Datta, Christian P. Robert, George Casella, Roger L. Berger, Pranab Kumar Sen, Bani K. Mallick, Kannan Natarajan, Bradley P. Carlin and T. W. F. Stroud and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrics.

In The Last Decade

Malay Ghosh

154 papers receiving 4.3k citations

Hit Papers

Stastical Decision Theory and Bayesian Analysis. 1988 2026 2000 2013 1988 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malay Ghosh United States 24 2.5k 1.2k 781 726 581 165 4.8k
Roger L. Berger United States 23 2.7k 1.1× 955 0.8× 1.1k 1.4× 810 1.1× 583 1.0× 65 6.7k
Luke Tierney United States 23 3.4k 1.4× 2.2k 1.8× 681 0.9× 835 1.2× 609 1.0× 67 6.3k
Kjell A. Doksum United States 29 2.5k 1.0× 877 0.7× 498 0.6× 693 1.0× 470 0.8× 82 4.9k
Nancy Reid Canada 30 2.9k 1.2× 971 0.8× 439 0.6× 541 0.7× 602 1.0× 141 4.9k
José M. Bernardo Spain 21 1.9k 0.8× 1.3k 1.1× 659 0.8× 694 1.0× 378 0.7× 66 4.1k
Jeffrey S. Simonoff United States 31 2.1k 0.9× 1.1k 0.9× 419 0.5× 672 0.9× 721 1.2× 125 6.1k
S. Kotz United States 23 1.7k 0.7× 644 0.5× 616 0.8× 706 1.0× 405 0.7× 70 4.0k
Norman L. Johnson United States 22 1.4k 0.6× 787 0.7× 640 0.8× 837 1.2× 408 0.7× 56 4.6k
George Casella United States 15 2.1k 0.8× 1.8k 1.5× 650 0.8× 774 1.1× 503 0.9× 37 7.0k
Robert V. Hogg United States 39 2.4k 1.0× 832 0.7× 734 0.9× 801 1.1× 511 0.9× 124 6.3k

Countries citing papers authored by Malay Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Malay Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malay Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Malay Ghosh. A scholar is included among the top collaborators of Malay Ghosh 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 Malay Ghosh. Malay Ghosh 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.
Ghosh, Malay, et al.. (2022). Multivariate Global-Local Priors for Small Area Estimation. SHILAP Revista de lepidopterología. 5(3). 673–688.
2.
Ghosh, Malay, et al.. (2021). Arc-Sin Transformation for Binomial Sample Proportions in Small Area Estimation. Statistica Sinica. 3 indexed citations
3.
Torabi, Mahmoud, et al.. (2021). Measurement error in linear regression models with fat tails and skewed errors. Communication in Statistics- Theory and Methods. 52(15). 5407–5426. 1 indexed citations
4.
Ghosh, Malay, et al.. (2021). Poisson Counts, Square Root Transformation and Small Area Estimation. Sankhya B. 84(2). 449–471. 3 indexed citations
5.
Ghosh, Malay, et al.. (2021). A Study of Various Factors Influencing Buying Decision Making of Health Insurance Policies. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(7). 57–60. 2 indexed citations
6.
Ghosh, Malay, et al.. (2020). Bayesian empirical likelihood inference with complex survey data. Journal of the Royal Statistical Society Series A (Statistics in Society). 1 indexed citations
7.
Ghosh, Malay, et al.. (2018). High-dimensional multivariate posterior consistency under global–local shrinkage priors. Journal of Multivariate Analysis. 167. 157–170. 16 indexed citations
8.
Khare, Kshitij, et al.. (2014). Asymptotic expansion of the posterior density in high dimensional generalized linear models. Journal of Multivariate Analysis. 131. 126–148. 4 indexed citations
9.
Chakraborty, Sounak, Malay Ghosh, & Bani K. Mallick. (2012). Bayesian nonlinear regression for largepsmallnproblems. Journal of Multivariate Analysis. 108. 28–40. 20 indexed citations
10.
Mukherjee, Bhramar, Jaeil Ahn, Stephen B. Gruber, Malay Ghosh, & Nilanjan Chatterjee. (2009). Case–Control Studies of Gene–Environment Interaction: Bayesian Design and Analysis. Biometrics. 66(3). 934–948. 15 indexed citations
11.
Pittelkow, Yvonne, et al.. (2008). Theoretical measures of relative performance of classifiers for high dimensional data with small sample sizes. Quality Engineering. 53(6). 561–562. 1 indexed citations
12.
Sinha, Samiran, et al.. (2007). Modelling Association Among Bivariate Exposures In Matched Case-Control Studies. 69(3). 379–404. 2 indexed citations
13.
Ghosh, Malay, Li Zhang, & Bhramar Mukherjee. (2006). Equivalence of posteriors in the Bayesian analysis of the multinomial-Poisson transformation. METRON. 64(1). 19–28. 6 indexed citations
14.
Ghosh, Malay & Bhramar Mukherjee. (2005). Nonparametric Sequential Bayes Estimation of the Distribution Function. Sequential Analysis. 24(4). 389–409. 2 indexed citations
15.
Ghosh, Malay, et al.. (2005). Empirical Bayes Estimators with Uncertainty Measures for NEF-QVF Populations. 4(1). 1–19. 1 indexed citations
16.
Ghosh, Malay, et al.. (1996). Estimation of Median Income of Four-Person Families: A Bayesian Time Series Approach. Journal of the American Statistical Association. 91(436). 1423–1431. 71 indexed citations
17.
Ghosh, Malay, et al.. (1989). Nonparametric empirical bayes estimation of the distribution function and the mean. Communication in Statistics- Theory and Methods. 18(1). 121–146. 11 indexed citations
18.
Ghosh, Malay & David M. Nickerson. (1986). Sequential shrinkage estimation of independent normal means with unkown variances. Communication in Statistics- Theory and Methods. 15(7). 2115–2130. 1 indexed citations
19.
Ebrahimi, Nader & Malay Ghosh. (1981). Multivariate NBU and NBUE Distributions. 25(2). 36–55. 3 indexed citations
20.
Ghosh, Malay, Bimal K. Sinha, & Nitis Mukhopadhyay. (1976). Multivariate sequential point estimation. Journal of Multivariate Analysis. 6(2). 281–294. 38 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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