Subhashis Ghosal

5.0k total citations
93 papers, 2.5k citations indexed

About

Subhashis Ghosal is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Subhashis Ghosal has authored 93 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Statistics and Probability, 53 papers in Artificial Intelligence and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Subhashis Ghosal's work include Statistical Methods and Inference (64 papers), Bayesian Methods and Mixture Models (44 papers) and Statistical Methods and Bayesian Inference (33 papers). Subhashis Ghosal is often cited by papers focused on Statistical Methods and Inference (64 papers), Bayesian Methods and Mixture Models (44 papers) and Statistical Methods and Bayesian Inference (33 papers). Subhashis Ghosal collaborates with scholars based in United States, Netherlands and India. Subhashis Ghosal's co-authors include Aad van der Vaart, Jayanta K. Ghosh, Anindya Roy, Ravi Ramamoorthi, Weining Shen, Tapas Kumar Chandra, Yongqiang Tang, Anindya Roy, Jiezhun Gu and Surya T. Tokdar and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and IEEE Transactions on Image Processing.

In The Last Decade

Subhashis Ghosal

91 papers receiving 2.3k citations

Peers

Subhashis Ghosal
Comparison fields: 5 of 128
  • Statistics and Probability 1.7k
  • Artificial Intelligence 1.5k
  • Management Science and Operations Research 288
  • Finance 181
  • Statistics, Probability and Uncertainty 166
Replace A. B. Tsybakov with:
A. B. Tsybakov France
Vladimir Spokoiny Germany
Vladimir Koltchinskii United States
Harro Walk Germany
Yasunori Fujikoshi Japan
William E. Strawderman United States
Morris L. Eaton United States
Lucien Birgé France
Bing‐Yi Jing Hong Kong
Pascal Sarda France
A. B. Tsybakov France View profile →
Citations per field, relative to Subhashis Ghosal
Subhashis Ghosal · 1×
Citations per year, relative to Subhashis Ghosal
Subhashis Ghosal · 1×

Countries citing papers authored by Subhashis Ghosal

Since Specialization
Citations

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

Fields of papers citing papers by Subhashis Ghosal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhashis Ghosal

This figure shows the co-authorship network connecting the top 25 collaborators of Subhashis Ghosal. A scholar is included among the top collaborators of Subhashis Ghosal 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 Subhashis Ghosal. Subhashis Ghosal 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
# Work Indexed citations
1 1
2 1
3 0
4 4
5 15
6 6
7 5
8 3
9 48
10 20
11 3
12 3
13 26
14
Posterior consistency of Gaussian process prior for nonparametric binary regression
66
15 39
16
Posterior convergence rates of Dirichlet mixtures at smooth densities
70
17 34
18 14
19 37
20 75

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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