Jayaram Sethuraman

3.6k citations
54 papers · 1.1k · h-index 16

Impact in

    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Inference
  • Software top 2%
    • Software Reliability and Analysis Research

Papers in

Jayaram Sethuraman

50 papers receiving 971 citations

Peers

Jayaram Sethuraman
Comparison fields: 5 of 95
  • Statistics and Probability 583
  • Software 189
  • Safety, Risk, Reliability and Quality 446
  • Statistics, Probability and Uncertainty 342
  • Management Science and Operations Research 226
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Citations per field
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Citations per year

Countries citing papers authored by Jayaram Sethuraman

Since Specialization
Citations

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

Fields of papers citing papers by Jayaram Sethuraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Jayaram Sethuraman, 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 Jayaram Sethuraman Line = papers co-authored together Jayaram Sethuraman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978249
2 1987111
3 1976104
4 198660
5 199755
6 199649
7 197846
8 197835
9 197730
10 197729
11 199228
12 196426
13 199025
14 198219
15 199419
16 198515
17 199514
18 198113
19 199412
20 200811

About Jayaram Sethuraman

Jayaram Sethuraman is a scholar working on Statistics and Probability, Artificial Intelligence, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Mathematical Physics, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (24 papers), Reliability and Maintenance Optimization (13 papers), Bayesian Methods and Mixture Models (12 papers), Probability and Risk Models (9 papers), Stochastic processes and statistical mechanics (9 papers), Statistical Methods and Inference (6 papers), Insurance, Mortality, Demography, Risk Management (5 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Statistics and Probability (583 citations), Software (189 citations), Safety, Risk, Reliability and Quality (446 citations), Statistics, Probability and Uncertainty (342 citations) and Management Science and Operations Research (226 citations). Jayaram Sethuraman has collaborated with scholars based in United States, India and Saudi Arabia. Frequent co-authors include Frank Proschan, Emad El-Neweihi, James Lynch, Myles Hollander, Nozer D. Singpurwalla, John Gurland, N. Rao Chaganty, Hani Doss, Krishna B. Athreya and Brett Presnell. Their work appears in journals such as Journal of Applied Probability, The Annals of Statistics, Journal of the American Statistical Association, Advances in Applied Probability and Journal of Multivariate Analysis.

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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