Ravindra Singh

2.4k citations
50 papers · 1.5k indexed · h-index 15

Ravindra Singh

47 papers receiving 1.4k citations

Peers

Ravindra Singh
Comparison fields: 5 of 120
  • Statistics and Probability 214
  • Control and Systems Engineering 441
  • Electrical and Electronic Engineering 970
  • Safety, Risk, Reliability and Quality 147
  • Statistics, Probability and Uncertainty 57
Replace J.S. Hsu with:
J.S. Hsu United States
Matthias C. M. Troffaes United Kingdom
Joanna Janczura Poland
Ali Muhammad Ali Rushdi Saudi Arabia
A. Saïdane Algeria
M. Schilling Brazil
Zdravko I. Botev Australia
Yutaka TANAKA Japan
Carleton Coffrin United States
Jairo Espinosa Colombia
Ravindra Singh relative to J.S. Hsu United States J.S. Hsu's profile →
Citations per field
00.5×8.2×
J.S. Hsu · 1×
Citations per year

Countries citing papers authored by Ravindra Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ravindra Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20240
4 20234
5 20181
6 20175
7 20171
8 20152
9 20143
10 2014119
11 20109
12 20105
13 200916
14 200913
15
Modelling and simulation of the dynamics of a large size stabilized gimbal platform assembly
200811
16 200027
17
A note on a modified randomization device using unrelated questions
19993
18 198415
19 19774
20 197139

About Ravindra Singh

Ravindra Singh is a scholar working on Statistics and Probability, Nuclear and High Energy Physics and Numerical Analysis, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Power System Optimization and Stability (8 papers), Laser-Plasma Interactions and Diagnostics (6 papers), Optimal Power Flow Distribution (6 papers), Survey Sampling and Estimation Techniques (6 papers), Laser-induced spectroscopy and plasma (5 papers), Bayesian Methods and Mixture Models (3 papers), Energy Load and Power Forecasting (3 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Statistics and Probability (214 citations), Control and Systems Engineering (441 citations) and Electrical and Electronic Engineering (970 citations). Ravindra Singh has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Bikash C. Pal, Rabih A. Jabr, Naurang Singh Mangat, Richard Vinter, Abhinav Kumar Singh, Vijay Aggarwal, Shahida Khatoon, Himanshu Chaudhary, R. Prasad and V. K. Tripathi. Their work appears in journals such as IET Generation Transmission & Distribution, Journal of Plasma Physics, Journal of the American Statistical Association, IEEE Transactions on Power Systems and Journal of Nuclear Materials.

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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