S. Ravi

661 total citations
36 papers, 456 citations indexed

About

S. Ravi is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research. According to data from OpenAlex, S. Ravi has authored 36 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 16 papers in Finance and 11 papers in Management Science and Operations Research. Recurrent topics in S. Ravi's work include Financial Risk and Volatility Modeling (15 papers), Statistical Distribution Estimation and Applications (13 papers) and Probability and Risk Models (8 papers). S. Ravi is often cited by papers focused on Financial Risk and Volatility Modeling (15 papers), Statistical Distribution Estimation and Applications (13 papers) and Probability and Risk Models (8 papers). S. Ravi collaborates with scholars based in India, United States and United Kingdom. S. Ravi's co-authors include David Ben‐Arieh, Sandhya Khurana, Jayaraj Biligere Siddaiah and P A Mahesh and has published in prestigious journals such as International Journal of Production Economics, Journal of the Royal Statistical Society Series A (Statistics in Society) and Statistical Methods in Medical Research.

In The Last Decade

S. Ravi

23 papers receiving 427 citations

Peers

S. Ravi
Comparison fields: 5 of 115
  • Statistics and Probability 172
  • Finance 99
  • Management Science and Operations Research 75
  • Economics and Econometrics 63
  • Artificial Intelligence 43
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Patrice Bertail France
Heather Battey United Kingdom
Márton Ispány Hungary
George E. Policello United States
Aurea Grané Spain
Dmitrii Silvestrov Sweden
Joachim Engel Germany
Benny Levikson Israel
Henry R. Neave United Kingdom
Chun Yip Yau Hong Kong
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Citations per field, relative to S. Ravi
S. Ravi · 1×
Citations per year, relative to S. Ravi
S. Ravi · 1×

Countries citing papers authored by S. Ravi

Since Specialization
Citations

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

Fields of papers citing papers by S. Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ravi

This figure shows the co-authorship network connecting the top 25 collaborators of S. Ravi. A scholar is included among the top collaborators of S. Ravi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Ravi. S. Ravi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 7
3 63
4 0
5 0
6
New Limit Distributions for Extremes Under a Nonlinear Normalization
1
7 1
8 1
9 0
10
A note on entropies of l-max stable, p-max stable, generalized Pareto and generalized log-Pareto distributions
4
11
STANDARD BASED RELIABILITY PREDICTION OF TRAVELING WAVE TUBE IN COMMUNICATION SATELLITE
2
12 1
13 28
14 121
15 6
16 1
17 0
18 14
19 60
20
Tail equivalence of distribution functions belonging to the max domains of attraction of multivariate p-max stable laws
2

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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