Ramesh M. Korwar

545 citations
21 papers · 342 indexed · h-index 9
Topics
Statistical Distribution Estimation and Applications (12 papers)Bayesian Methods and Mixture Models (11 papers)Statistical Methods and Inference (8 papers)
Partner nations
United StatesIndia

In The Last Decade

Ramesh M. Korwar

20 papers receiving 317 citations

Peers

Ramesh M. Korwar
Comparison fields: 5 of 48
  • Statistics and Probability 265
  • Artificial Intelligence 189
  • Statistics, Probability and Uncertainty 56
  • Management Science and Operations Research 51
  • Applied Mathematics 33
Replace B. B. Winter with:
B. B. Winter Canada
Nickos Papadatos Greece
Ryoichi Shimizu Japan
Hajime Yamato Japan
R. W. Shorrock Canada
Wen‐Jang Huang Taiwan
Isha Bagai India
Pali Sen United States
Kamal C. Chanda United States
R. H. Farrell United States
Ramesh M. Korwar relative to B. B. Winter Canada B. B. Winter's profile →
Citations per field
00.5×
B. B. Winter · 1×
Citations per year

Countries citing papers authored by Ramesh M. Korwar

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh M. Korwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramesh M. Korwar. 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 Ramesh M. Korwar. The network helps show where Ramesh M. Korwar may publish in the future.

Co-authorship network of co-authors of Ramesh M. Korwar

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh M. Korwar. A scholar is included among the top collaborators of Ramesh M. Korwar 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 Ramesh M. Korwar. Ramesh M. Korwar 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
#WorkIndexed citations
1 5
2 30
3 5
4 49
5 14
6 0
7 7
8 2
9 3
10 5
11 1
12 11
13 9
14 4
15 19
16 7
17 21
18 6
19 119
20 8

About Ramesh M. Korwar

Ramesh M. Korwar is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 21 papers that have together received 342 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (12 papers), Bayesian Methods and Mixture Models (11 papers) and Statistical Methods and Inference (8 papers). The work is most often cited by research in Statistics and Probability (265 citations), Statistics, Probability and Uncertainty (56 citations) and Artificial Intelligence (189 citations). Ramesh M. Korwar has collaborated with scholars based in United States and India. Frequent co-authors include Myles Hollander, Subhash C. Kochar, Ram C. Dahiya, R. J. Serfling, Andrew L. Rukhin and Constantine Gatsonis. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics and The Annals of Probability.

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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