Arjun K. Gupta

84 papers and 1.8k indexed citations i.

About

Arjun K. Gupta is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Arjun K. Gupta has authored 84 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 37 papers in Artificial Intelligence and 8 papers in Computational Theory and Mathematics. Recurrent topics in Arjun K. Gupta’s work include Bayesian Methods and Mixture Models (26 papers), Statistical Distribution Estimation and Applications (21 papers) and Advanced Statistical Methods and Models (12 papers). Arjun K. Gupta is often cited by papers focused on Bayesian Methods and Mixture Models (26 papers), Statistical Distribution Estimation and Applications (21 papers) and Advanced Statistical Methods and Models (12 papers). Arjun K. Gupta collaborates with scholars based in United States, Colombia and Canada. Arjun K. Gupta's co-authors include Saralees Nadarajah, Jie Chen, Steven F. Arnold, James H. Albert, Tuhao Chen, K. C. Sreedharan Pillai, Taras Bodnar, Daya K. Nagar, Solomon W. Harrar and Z. Govindarajulu and has published in prestigious journals such as Physical Review Letters, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Arjun K. Gupta i

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.

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).

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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