Arjun Kumar Gupta

7.3k citations
244 papers · 4.2k · 1 hit paper · h-index 29

Impact in

Papers in

    • Statistical Distribution Estimation and Applications 129
    • Advanced Statistical Methods and Models 70
    • Statistical Methods and Bayesian Inference 41
    • Statistical Methods and Inference 26
    • Random Matrices and Applications 22
    • Probabilistic and Robust Engineering Design 37

Arjun Kumar Gupta

225 papers receiving 4.0k citations

Arjun Kumar Gupta's Hit Papers

Design and Analysis of Experiments 2013 · 986 citations
9860+4+8Years since publication250500750

Peers

Arjun Kumar Gupta
Comparison fields: 5 of 182
  • Statistics and Probability 2.3k
  • Statistics, Probability and Uncertainty 858
  • Finance 567
  • Management Science and Operations Research 582
  • Artificial Intelligence 707
Replace Muni S. Srivastava with:
Muni S. Srivastava Canada
Kai‐Tai Fang Hong Kong
Víctor Leiva Chile
Irène Gijbels Belgium
Jayanta K. Ghosh India
Bovas Abraham Canada
Robert Kohn Australia
Chin Diew Lai New Zealand
Jeffrey D. Hart United States
Holger Dette Germany
Arjun Kumar Gupta relative to Muni S. Srivastava Canada Muni S. Srivastava's profile →
Citations per field
00.5×2×4×6×
Muni S. Srivastava · 1×
Citations per year

Countries citing papers authored by Arjun Kumar Gupta

Since Specialization
Citations

This map shows the geographic impact of Arjun Kumar 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 Kumar 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 Kumar Gupta more than expected).

Fields of papers citing papers by Arjun Kumar Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 244 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Design and Analysis of Experiments
Hit paper breakdown →
2013986
2 1997203
3 2003132
4 1993124
5 2003112
6 2003111
7 200298
8 201393
9 199092
10 201284
11 200170
12 198252
13 199751
14 200850
15 200449
16 200242
17 200441
18 200039
19 199739
20 200539

About Arjun Kumar Gupta

Arjun Kumar Gupta is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Applied Mathematics and Artificial Intelligence, having authored 244 papers that have together received 4.2k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (129 papers), Advanced Statistical Methods and Models (70 papers), Bayesian Methods and Mixture Models (60 papers), Statistical Methods and Bayesian Inference (41 papers), Probabilistic and Robust Engineering Design (37 papers), Probability and Risk Models (35 papers), Statistical Methods and Inference (26 papers) and Random Matrices and Applications (22 papers). The work is most often cited by research in Statistics and Probability (2.3k citations), Statistics, Probability and Uncertainty (858 citations), Finance (567 citations), Management Science and Operations Research (582 citations) and Artificial Intelligence (707 citations). Arjun Kumar Gupta has collaborated with scholars based in United States, Colombia and China. Frequent co-authors include Jie Chen, Daya Krishna Nagar, Saralees Nadarajah, Graciela González-Farı́as, Debasis Kundu, Wen‐Jang Huang, Taras Bodnar, Edsel A. Peña, John T. Chen and Tonghui Wang. Their work appears in journals such as Journal of Multivariate Analysis, Journal of Statistical Computation and Simulation, Annals of the Institute of Statistical Mathematics, 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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