Pulak Ghosh

2.9k total citations
150 papers, 1.9k citations indexed

About

Pulak Ghosh is a scholar working on Economics and Econometrics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Pulak Ghosh has authored 150 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Economics and Econometrics, 37 papers in Statistics and Probability and 31 papers in Artificial Intelligence. Recurrent topics in Pulak Ghosh's work include Bayesian Methods and Mixture Models (28 papers), Statistical Methods and Bayesian Inference (25 papers) and Statistical Methods and Inference (18 papers). Pulak Ghosh is often cited by papers focused on Bayesian Methods and Mixture Models (28 papers), Statistical Methods and Bayesian Inference (25 papers) and Statistical Methods and Inference (18 papers). Pulak Ghosh collaborates with scholars based in India, United States and Singapore. Pulak Ghosh's co-authors include Víctor H. Lachos, Dimitris Rizopoulos, Reinaldo B. Arellano‐Valle, Sumit Agarwal, Ravi Ramamoorthi, Surendra Prakash Goyal, Ram C. Tiwari, Celso Rômulo Barbosa Cabral, J. P. Mittal and Sarah Brown and has published in prestigious journals such as The Journal of Finance, Journal of the American Statistical Association and Journal of Financial Economics.

In The Last Decade

Pulak Ghosh

137 papers receiving 1.8k citations

Peers

Pulak Ghosh
Comparison fields: 5 of 160
  • Statistics and Probability 740
  • Artificial Intelligence 424
  • Economics and Econometrics 420
  • Finance 214
  • Management Science and Operations Research 142
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G. À. Whitmore Canada
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Citations per field, relative to Pulak Ghosh
Pulak Ghosh · 1×
Citations per year, relative to Pulak Ghosh
Pulak Ghosh · 1×

Countries citing papers authored by Pulak Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Pulak Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pulak Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Pulak Ghosh. A scholar is included among the top collaborators of Pulak 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 Pulak Ghosh. Pulak 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
# Work Indexed citations
1 0
2 1
3 1
4 3
5 5
6 2
7 1
8 3
9 32
10
Nutrient utilization and growth performance of Jalauni lambs fed grass pea (Lathyrus sativus) hay based diet.
2
11
LIKELIHOOD BASED INFERENCE FOR SKEW-NORMAL INDEPENDENT LINEAR MIXED MODELS
116
12 7
13 17
14 31
15 22
16
Preparation of semi-refined K-carrageenan: Recycling of alkali solution and recovery of alkali from spent liquor
11
17 31
18
Semiparametric Bayesian Modeling of Multivariate Average Bioequivalence
0
19
Characteristics of Parbatsar breed of goat from Rajasthan desert [India]
10
20 1

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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