Arjun K. Gupta

7.3k citations
229 papers · 4.2k · 2 hit papers · h-index 30

Impact in

Papers in

    • Statistical Distribution Estimation and Applications 122
    • Advanced Statistical Methods and Models 67
    • Statistical Methods and Bayesian Inference 39
    • Statistical Methods and Inference 24
    • Random Matrices and Applications 22
    • Bayesian Methods and Mixture Models 57

Arjun K. Gupta

212 papers receiving 4.0k citations

Arjun K. Gupta's Hit Papers

Matrix Variate Distributions 2018 · 329 citations
3290+4+8Years since publication250500750

Peers

Arjun K. Gupta
Comparison fields: 5 of 185
  • Statistics and Probability 2.1k
  • Statistics, Probability and Uncertainty 811
  • Finance 496
  • Management Science and Operations Research 552
  • Computational Mathematics 19
Replace Dipak K. Dey with:
Dipak K. Dey United States
Muni S. Srivastava Canada
Víctor Leiva Chile
Irène Gijbels Belgium
Kai‐Tai Fang Hong Kong
Daniel Peña Spain
Robert Kohn Australia
Govind S. Mudholkar United States
Peter Hall Australia
Yuhong Yang United States
Arjun K. Gupta relative to Dipak K. Dey United States Dipak K. Dey's profile →
Citations per field
00.5×1.5×1.9×
Dipak K. Dey · 1×
Citations per year

Countries citing papers authored by Arjun K. Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Arjun K. Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arjun K. Gupta. 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 Arjun K. Gupta. The network helps show where Arjun K. Gupta may publish in the future.

Co-authors

The 25 scholars most cited alongside Arjun K. Gupta, 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 Arjun K. Gupta Line = papers co-authored together Arjun K. Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 229 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Design and Analysis of Experiments
Hit paper breakdown →
2013938
2
Matrix Variate Distributions
Hit paper breakdown →
2018329
3 1997186
4 2003122
5 1993120
6 2003103
7 2003101
8 200296
9 199082
10 201382
11 201278
12 200167
13 199753
14 200450
15 198249
16 200444
17 199741
18 200539
19 200036
20 198936

About Arjun K. Gupta

Arjun K. Gupta is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Management Science and Operations Research and Applied Mathematics, having authored 229 papers that have together received 4.2k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (122 papers), Advanced Statistical Methods and Models (67 papers), Bayesian Methods and Mixture Models (57 papers), Statistical Methods and Bayesian Inference (39 papers), Probabilistic and Robust Engineering Design (35 papers), Probability and Risk Models (34 papers), Statistical Methods and Inference (24 papers) and Random Matrices and Applications (22 papers). The work is most often cited by research in Statistics and Probability (2.1k citations), Statistics, Probability and Uncertainty (811 citations), Finance (496 citations), Management Science and Operations Research (552 citations) and Computational Mathematics (19 citations). Arjun K. Gupta has collaborated with scholars based in United States, Colombia and China. Frequent co-authors include Daya K. Nagar, Jie Chen, Saralees Nadarajah, Graciela González-Farı́as, Debasis Kundu, Wen‐Jang Huang, Taras Bodnar, Edsel A. Peña, Tamás Varga and John T. Chen. Their work appears in journals such as Journal of Multivariate Analysis, Annals of the Institute of Statistical Mathematics, Journal of Statistical Computation and Simulation, Journal of Statistical Planning and Inference and Applied Mathematics 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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