Ashis SenGupta

1.9k total citations · 1 hit paper
61 papers, 1.3k citations indexed

About

Ashis SenGupta is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Ashis SenGupta has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 30 papers in Artificial Intelligence and 11 papers in Environmental Engineering. Recurrent topics in Ashis SenGupta's work include Bayesian Methods and Mixture Models (28 papers), Statistical Distribution Estimation and Applications (14 papers) and Soil Geostatistics and Mapping (11 papers). Ashis SenGupta is often cited by papers focused on Bayesian Methods and Mixture Models (28 papers), Statistical Distribution Estimation and Applications (14 papers) and Soil Geostatistics and Mapping (11 papers). Ashis SenGupta collaborates with scholars based in India, United States and Türkiye. Ashis SenGupta's co-authors include S. Rao Jammalamadaka, Partha P. Mitra, Sung‐Su Kim, Barry C. Arnold, Svetlozar T. Rachev, Sourabh Bhattacharya, Martin T. Wells, Arnab Kumar Laha, Sabyasachi Bhattacharya and Shuangzhe Liu and has published in prestigious journals such as Management Science, Mathematical and Computer Modelling and World Journal of Microbiology and Biotechnology.

In The Last Decade

Ashis SenGupta

55 papers receiving 1.2k citations

Hit Papers

Topics in Circular Statistics 2001 2026 2009 2017 2001 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashis SenGupta India 13 348 321 195 146 145 61 1.3k
Wai Wan Tsang Hong Kong 11 420 1.2× 162 0.5× 72 0.4× 59 0.4× 93 0.6× 15 1.7k
S. Rao Jammalamadaka United States 22 674 1.9× 1.1k 3.3× 112 0.6× 218 1.5× 191 1.3× 118 2.7k
Omiros Papaspiliopoulos United Kingdom 20 929 2.7× 794 2.5× 118 0.6× 60 0.4× 329 2.3× 40 1.8k
Florence Forbes France 19 782 2.2× 538 1.7× 140 0.7× 89 0.6× 75 0.5× 93 2.7k
P. A. W. Lewis United Kingdom 4 245 0.7× 390 1.2× 103 0.5× 55 0.4× 73 0.5× 5 2.0k
Robin K. Milne Australia 18 124 0.4× 166 0.5× 72 0.4× 78 0.5× 31 0.2× 62 965
Rasmus Waagepetersen Denmark 23 530 1.5× 516 1.6× 749 3.8× 502 3.4× 29 0.2× 89 3.3k
Christopher Drovandi Australia 20 539 1.5× 600 1.9× 108 0.6× 36 0.2× 28 0.2× 133 1.8k
Jim Kay United Kingdom 21 342 1.0× 351 1.1× 98 0.5× 62 0.4× 42 0.3× 52 1.7k
Robert V. Foutz United States 10 176 0.5× 422 1.3× 85 0.4× 32 0.2× 45 0.3× 37 2.4k

Countries citing papers authored by Ashis SenGupta

Since Specialization
Citations

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

Fields of papers citing papers by Ashis SenGupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashis SenGupta

This figure shows the co-authorship network connecting the top 25 collaborators of Ashis SenGupta. A scholar is included among the top collaborators of Ashis SenGupta 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 Ashis SenGupta. Ashis SenGupta 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.
SenGupta, Ashis, et al.. (2025). Solving ANOVA problem with restricted Type Ⅰ and Type Ⅱ error rates. AIMS Mathematics. 10(2). 2347–2374.
2.
SenGupta, Ashis, et al.. (2024). Constrained Bayesian Methods for Union-Intersection and Intersection-Union Hypotheses Testing Problems. Iranian Journal of Science. 48(6). 1579–1594. 1 indexed citations
3.
SenGupta, Ashis, et al.. (2023). Circular-Statistics-Based Estimators and Tests for the Index Parameter α of Distributions for High-Volatility Financial Markets. Journal of risk and financial management. 16(9). 405–405.
4.
Kalaylıoğlu, Zeynep, et al.. (2022). A flexible Bayesian mixture approach for multi-modal circular data. Hacettepe Journal of Mathematics and Statistics. 51(4). 1160–1173.
5.
Kalaylıoğlu, Zeynep, et al.. (2022). Variable selection in linear-circular regression models. Journal of Applied Statistics. 50(16). 3337–3361. 1 indexed citations
6.
SenGupta, Ashis, et al.. (2019). An Universal, Simple, Circular Statistics-Based Estimator of α for Symmetric Stable Family. Journal of risk and financial management. 12(4). 171–171. 2 indexed citations
7.
Peng, Hua, Daniel R. Jeske, Ashis SenGupta, & Weixin Yao. (2018). Designing one-sided group sequential clinical trials to detect a mixture alternative. Sequential Analysis. 37(2). 268–291. 2 indexed citations
8.
Kim, Sung‐Su, Ashis SenGupta, & Barry C. Arnold. (2015). A multivariate circular distribution with applications to the protein structure prediction problem. Journal of Multivariate Analysis. 143. 374–382. 8 indexed citations
9.
Shimizu, Kunio, et al.. (2014). A possibly asymmetric multivariate generalization of the Möbius distribution for directional data. Journal of Multivariate Analysis. 134. 146–162. 4 indexed citations
10.
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
11.
SenGupta, Ashis, Sung‐Su Kim, & Barry C. Arnold. (2013). Inverse circular–circular regression. Journal of Multivariate Analysis. 119. 200–208. 9 indexed citations
12.
SenGupta, Ashis & Arnab Kumar Laha. (2008). A Bayesian analysis of the change-point problem for directional data. Journal of Applied Statistics. 35(6). 693–700. 8 indexed citations
13.
SenGupta, Ashis, et al.. (2006). Modelling multi-stage processes through multivariate distributions. Journal of Applied Statistics. 33(2). 175–188. 8 indexed citations
14.
SenGupta, Ashis, et al.. (2001). Classification rules for stable distributions. Mathematical and Computer Modelling. 34(9-11). 1073–1093. 1 indexed citations
15.
SenGupta, Ashis, et al.. (2000). Optimal tests for no contamination in reliability models.. Lifetime Data Analysis. 6(3). 281–290. 6 indexed citations
16.
SenGupta, Ashis & Partha P. Mitra. (1999). Distributions of singular values for some random matrices. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(3). 3389–3392. 234 indexed citations
17.
Rachev, Svetlozar T. & Ashis SenGupta. (1992). GEOMETRIC STABLE DISTRIBUTIONS AND LAPLACE-WEIBULL MIXTURES. Statistics & Risk Modeling. 10(3). 11 indexed citations
18.
SenGupta, Ashis. (1988). On loss of power under additional information. An example. Scandinavian Journal of Statistics. 15(1). 25–31. 13 indexed citations
19.
SenGupta, Ashis. (1987). Generalizations of barlett's and hartley's tests of homogeneity using “overall variability”. Communication in Statistics- Theory and Methods. 16(4). 987–996. 4 indexed citations
20.
SenGupta, Ashis. (1987). Tests for standardized generalized variances of multivariate normal populations of possibly different dimensions. Journal of Multivariate Analysis. 23(2). 209–219. 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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