Suchandan Kayal
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications 74
- Statistical Methods and Bayesian Inference 15
- Advanced Statistical Methods and Models 12
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- Probabilistic and Robust Engineering Design 45
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- Reliability and Maintenance Optimization 10
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- Statistical Mechanics and Entropy 16
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- Probability and Risk Models 13
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- Bayesian Methods and Mixture Models 12
- Co-authors
- N. BalakrishnanSomesh KumarAntonio Di CrescenzoS. M. SunojHon Keung Tony NgSanku DeyYuhlong LioDebajyoti Choudhuri
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Journals
- SHILAP Revista de lepidopterología (6 papers)IEEE Transactions on Information Theory (2 papers)Physica D Nonlinear Phenomena (1 paper)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Suchandan Kayal
72 papers receiving 546 citations
Peers
Comparison fields: 5 of 38
- Statistics and Probability 515
- Statistics, Probability and Uncertainty 332
- Safety, Risk, Reliability and Quality 93
- Statistical and Nonlinear Physics 84
- Management Science and Operations Research 71
Countries citing papers authored by Suchandan Kayal
This map shows the geographic impact of Suchandan Kayal'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 Suchandan Kayal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suchandan Kayal more than expected).
Fields of papers citing papers by Suchandan Kayal
This network shows the impact of papers produced by Suchandan Kayal. 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 Suchandan Kayal. The network helps show where Suchandan Kayal may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Suchandan Kayal, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 27 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 9 | |
| 15 | 2020 | 5 | |
| 16 | 2018 | 8 | |
| 17 | On Weighted Measures of Cumulative Entropy | 2017 | 3 |
| 18 | 2017 | 12 | |
| 19 | 2017 | 7 | |
| 20 | Estimating the Shannon Entropy of Several Exponential Populations | 2011 | 1 |
About Suchandan Kayal
Suchandan Kayal is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics, having authored 83 papers that have together received 562 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (74 papers), Probabilistic and Robust Engineering Design (45 papers), Statistical Mechanics and Entropy (16 papers), Statistical Methods and Bayesian Inference (15 papers), Probability and Risk Models (13 papers), Bayesian Methods and Mixture Models (12 papers), Advanced Statistical Methods and Models (12 papers) and Reliability and Maintenance Optimization (10 papers). The work is most often cited by research in Statistics and Probability (515 citations), Statistics, Probability and Uncertainty (332 citations) and Safety, Risk, Reliability and Quality (93 citations). Suchandan Kayal has collaborated with scholars based in India, Canada and United States. Frequent co-authors include N. Balakrishnan, Somesh Kumar, Antonio Di Crescenzo, S. M. Sunoj, Hon Keung Tony Ng, Sanku Dey, Yuhlong Lio, Debajyoti Choudhuri, P. Vellaisamy and Rajesh Ganapathy. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Physica D Nonlinear Phenomena.
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.