Tapas Kumar Chandra

411 citations
23 papers · 305 · h-index 9

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 6
    • Advanced Statistical Methods and Models 6
    • Statistical Distribution Estimation and Applications 5
    • Stochastic processes and financial applications 4
    • Financial Risk and Volatility Modeling 4

Tapas Kumar Chandra

20 papers receiving 264 citations

Peers

Tapas Kumar Chandra
Comparison fields: 5 of 34
  • Statistics and Probability 216
  • Management Science and Operations Research 146
  • Finance 74
  • Mathematical Physics 48
  • Applied Mathematics 41
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Citations per year

Countries citing papers authored by Tapas Kumar Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Kumar Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tapas Kumar Chandra. 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 Tapas Kumar Chandra. The network helps show where Tapas Kumar Chandra may publish in the future.

Co-authors

The 8 scholars most cited alongside Tapas Kumar Chandra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tapas Kumar Chandra Line = papers co-authored together Tapas Kumar Chandra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Valid asymptotic expansions for the likelihood ratio statistic and other perturbed chi-square variables
197972
2 199650
3
Valid asymptotic expansions for the likelihood ratio and other statistics under contiguous alternatives
198026
4 199125
5
Cesaro uniform integrability and the strong law of large numbers
199223
6 199820
7 198417
8 199113
9 20129
10 19887
11 20147
12 20077
13 19876
14 20156
15
Cesaro uniform integrability and L p -convergence
19934
16 20183
17 19943
18 20052
19 20162
20
Comparison of Tests with Same Bahadur Efficiency (統計的決定関数論と測度論)
19781

About Tapas Kumar Chandra

Tapas Kumar Chandra is a scholar working on Statistics and Probability, Finance, Management Science and Operations Research, Mathematical Physics and Applied Mathematics, having authored 23 papers that have together received 305 indexed citations. Recurring topics across this work include Probability and Risk Models (7 papers), Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Methods and Models (6 papers), Statistical Distribution Estimation and Applications (5 papers), Stochastic processes and financial applications (4 papers), Financial Risk and Volatility Modeling (4 papers), Bayesian Methods and Mixture Models (4 papers) and Nonlinear Differential Equations Analysis (3 papers). The work is most often cited by research in Statistics and Probability (216 citations), Management Science and Operations Research (146 citations), Finance (74 citations), Mathematical Physics (48 citations) and Applied Mathematics (41 citations). Tapas Kumar Chandra has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Jayanta K. Ghosh, Subhashis Ghosal, Rahul Mukerjee, Arup Bose, Andrew Rosalsky, Tien-Chung Hu, Deli Li and Jayanta Kumar Ghosh. Their work appears in journals such as Journal of Multivariate Analysis, Biometrika, Journal of Theoretical Probability, Journal of Inequalities and Applications and Statistics & Probability Letters.

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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