S. R. Paul

1.3k total citations
73 papers, 894 citations indexed

About

S. R. Paul is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, S. R. Paul has authored 73 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 10 papers in Management Science and Operations Research. Recurrent topics in S. R. Paul's work include Statistical Methods and Bayesian Inference (42 papers), Statistical Distribution Estimation and Applications (28 papers) and Advanced Statistical Methods and Models (21 papers). S. R. Paul is often cited by papers focused on Statistical Methods and Bayesian Inference (42 papers), Statistical Distribution Estimation and Applications (28 papers) and Advanced Statistical Methods and Models (21 papers). S. R. Paul collaborates with scholars based in Canada, United States and Singapore. S. R. Paul's co-authors include Allan Donner, Karen Y. Fung, R. L. Plackett, Tathagata Banerjee, Steven G. Self, K.-Y. Liang, Uditha Balasooriya, Ngoc-Huynh Ho, You‐Gan Wang and Paul Henshaw and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Technometrics.

In The Last Decade

S. R. Paul

65 papers receiving 840 citations

Peers

S. R. Paul
Comparison fields: 5 of 140
  • Statistics and Probability 591
  • Artificial Intelligence 171
  • Statistics, Probability and Uncertainty 98
  • Management Science and Operations Research 92
  • Economics and Econometrics 51
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Citations per field, relative to S. R. Paul
S. R. Paul · 1×
Citations per year, relative to S. R. Paul
S. R. Paul · 1×

Countries citing papers authored by S. R. Paul

Since Specialization
Citations

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

Fields of papers citing papers by S. R. Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. R. Paul

This figure shows the co-authorship network connecting the top 25 collaborators of S. R. Paul. A scholar is included among the top collaborators of S. R. Paul 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. R. Paul. S. R. Paul 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
A review of the Behrens-Fisher problem and some of its analogs: Does the same size fit all?
2
3 5
4 2
5 18
6 2
7 7
8 13
9 86
10 7
11 2
12 43
13 17
14 2
15 2
16 32
17 4
18 37
19 35
20 12

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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