Umesh Singh

1.8k citations
122 papers · 1.4k · h-index 21

Impact in

Papers in

Umesh Singh

113 papers receiving 1.3k citations

Peers

Umesh Singh
Comparison fields: 5 of 96
  • Statistics and Probability 1.2k
  • Statistics, Probability and Uncertainty 806
  • Safety, Risk, Reliability and Quality 247
  • Global and Planetary Change 289
  • Management Science and Operations Research 88
Replace Nandini Kannan with:
Nandini Kannan United States
Essam K. AL-Hussaini Egypt
Indranil Ghosh United States
J. C. Naylor United Kingdom
N. A. K. Amin Singapore
Ram C. Dahiya United States
Fahimah Al-Awadhi Kuwait
Abraão D. C. Nascimento Brazil
Nabendu Pal United States
Radu V. Craiu Canada
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Citations per field
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Citations per year

Countries citing papers authored by Umesh Singh

Since Specialization
Citations

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

Fields of papers citing papers by Umesh Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015145
2
Bayesian Statistics and its Applications
200769
3 201566
4 200449
5 201244
6 201443
7 201441
8 201640
9 201339
10 200833
11 201732
12 201430
13 201830
14 201329
15 201328
16 201828
17 200827
18 201426
19 200223
20 201322

About Umesh Singh

Umesh Singh is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Global and Planetary Change, Artificial Intelligence and Astronomy and Astrophysics, having authored 122 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (87 papers), Probabilistic and Robust Engineering Design (52 papers), Statistical Methods and Bayesian Inference (28 papers), Hydrology and Drought Analysis (22 papers), Bayesian Methods and Mixture Models (13 papers), Ionosphere and magnetosphere dynamics (12 papers), Advanced Statistical Methods and Models (11 papers) and Reliability and Maintenance Optimization (10 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (806 citations), Safety, Risk, Reliability and Quality (247 citations), Global and Planetary Change (289 citations) and Management Science and Operations Research (88 citations). Umesh Singh has collaborated with scholars based in India, South Korea and Kazakhstan. Frequent co-authors include Sanjay Kumar Singh, Vikas Kumar Sharma, Sanjay Kumar Singh, Abhimanyu Singh Yadav, S.K. Upadhyay, Dinesh Kumar, Varun Agiwal, Manoj Kumar, Pramod Gupta and Faton Merovcı. Their work appears in journals such as Mycologia, Microelectronics Reliability, Earth Moon and Planets, Journal of Atmospheric and Solar-Terrestrial Physics and Applied Mathematics and Computation.

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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