P. Kumaraswamy
Impact in
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
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- Probabilistic and Robust Engineering Design
Papers in
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- Metaheuristic Optimization Algorithms Research 1
- Target Tracking and Data Fusion in Sensor Networks 1
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- Control Systems and Identification 1
- Co-authors
- C. V. Guru Rao (2 shared papers)A. Harshavardhan (1 shared paper)Bura Vijay Kumar (1 shared paper)D. Kothandaraman (1 shared paper)V. Janaki (2 shared papers)
- Journals
- Journal of Hydrology (3 papers)Defence Science Journal (1 paper)AIP conference proceedings (2 papers)Procedia Computer Science (1 paper)
In The Last Decade
P. Kumaraswamy
5 papers receiving 714 citations
P. Kumaraswamy's Hit Papers
Peers
Comparison fields: 5 of 92
- Statistics and Probability 541
- Statistics, Probability and Uncertainty 351
- Safety, Risk, Reliability and Quality 72
- Finance 75
- Global and Planetary Change 151
Countries citing papers authored by P. Kumaraswamy
This map shows the geographic impact of P. Kumaraswamy'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. Kumaraswamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Kumaraswamy more than expected).
Fields of papers citing papers by P. Kumaraswamy
This network shows the impact of papers produced by P. Kumaraswamy. 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. Kumaraswamy. The network helps show where P. Kumaraswamy may publish in the future.
Co-authors
The 5 scholars most cited alongside P. Kumaraswamy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A generalized probability density function for double-bounded random processes Hit paper breakdown → | 1980 | 728 |
| 2 | 1976 | 21 | |
| 3 | 1978 | 18 | |
| 4 | 1979 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2016 | 0 | |
| 7 | 2022 | 0 | |
| 8 | 2016 | 0 |
About P. Kumaraswamy
P. Kumaraswamy is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistics, Probability and Uncertainty, Computer Networks and Communications and Civil and Structural Engineering, having authored 8 papers that have together received 771 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (2 papers), Spam and Phishing Detection (1 paper), Water Systems and Optimization (1 paper), Embedded Systems and FPGA Applications (1 paper), Blockchain Technology Applications and Security (1 paper), Control Systems and Identification (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Target Tracking and Data Fusion in Sensor Networks (1 paper). The work is most often cited by research in Statistics and Probability (541 citations), Statistics, Probability and Uncertainty (351 citations), Safety, Risk, Reliability and Quality (72 citations), Finance (75 citations) and Global and Planetary Change (151 citations). P. Kumaraswamy has collaborated with scholars based in India and China. Frequent co-authors include C. V. Guru Rao, A. Harshavardhan, Bura Vijay Kumar, D. Kothandaraman and V. Janaki. Their work appears in journals such as Journal of Hydrology, Defence Science Journal, AIP conference proceedings and Procedia Computer Science.
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.