P. R. Krishnaiah
- Statistics and Probability top 0.1%
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Management Science and Operations Research top 2%
- Applied Mathematics top 2%
- Co-authors
- Zhidong BaiL.C. ZhaoYanqing YinF. H. C. MarriottEric R. ZiegelPranab Kumar SenJohn M. ChambersW. D. Ray
- Topics
- Advanced Statistical Methods and Models (33 papers)Statistical Distribution Estimation and Applications (23 papers)Bayesian Methods and Mixture Models (20 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
P. R. Krishnaiah
137 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 166
- Statistics and Probability 1.7k
- Artificial Intelligence 716
- Signal Processing 551
- Management Science and Operations Research 384
- Applied Mathematics 287
Countries citing papers authored by P. R. Krishnaiah
This map shows the geographic impact of P. R. Krishnaiah'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 P. R. Krishnaiah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. R. Krishnaiah more than expected).
Fields of papers citing papers by P. R. Krishnaiah
This network shows the impact of papers produced by P. R. Krishnaiah. 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 P. R. Krishnaiah. The network helps show where P. R. Krishnaiah may publish in the future.
Co-authorship network of co-authors of P. R. Krishnaiah
This figure shows the co-authorship network connecting the top 25 collaborators of P. R. Krishnaiah. A scholar is included among the top collaborators of P. R. Krishnaiah 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 P. R. Krishnaiah. P. R. Krishnaiah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Local Likelihood Method in the Problems Related to Change Points. | 3 |
| 5 | Densitometry improves the accuracy of volumes estimated by geometrical biplane integration method | 1 |
| 6 | Single-sample method for the estimation of glomerular filtration rate in children. | 17 |
| 7 | 80 | |
| 8 | 240 | |
| 9 | Time series in the time domain | 6 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | Analysis of variance | 5 |
| 15 | 45 | |
| 16 | 1 | |
| 17 | Multivariate analysis--III : proceedings of the Third International Symposium on Multivariate Analysis held at Wright State University, Dayton, Ohio, June 19-24, 1972 | 3 |
| 18 | 33 | |
| 19 | 2 | |
| 20 | Multivariate analysis : proceedings of an International Symposium held in Dayton, Ohio, June 14-19, 1965 | 6 |
About P. R. Krishnaiah
P. R. Krishnaiah is a scholar working on Statistics and Probability, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 149 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (33 papers), Statistical Distribution Estimation and Applications (23 papers) and Bayesian Methods and Mixture Models (20 papers). The work is most often cited by research in Statistics and Probability (1.7k citations), Signal Processing (551 citations) and Statistics, Probability and Uncertainty (275 citations). P. R. Krishnaiah has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Zhidong Bai, L.C. Zhao, Yanqing Yin, F. H. C. Marriott, Eric R. Ziegel, Pranab Kumar Sen, John M. Chambers, W. D. Ray, Vijay K. Rohatgi and Laveen N. Kanal. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Technometrics.
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.