Suchandan Kayal
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Safety, Risk, Reliability and Quality top 5%
- Statistical and Nonlinear Physics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- N. BalakrishnanSomesh KumarAntonio Di CrescenzoS. M. SunojHon Keung Tony NgSanku DeyYuhlong LioDebajyoti Choudhuri
- Topics
- Statistical Distribution Estimation and Applications (74 papers)Probabilistic and Robust Engineering Design (45 papers)Statistical Mechanics and Entropy (16 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryPhysica D Nonlinear Phenomena
- 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 of co-authors of Suchandan Kayal
This figure shows the co-authorship network connecting the top 25 collaborators of Suchandan Kayal. A scholar is included among the top collaborators of Suchandan Kayal 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 Suchandan Kayal. Suchandan Kayal 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 27 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | On Weighted Measures of Cumulative Entropy | 3 |
| 18 | 12 | |
| 19 | 7 | |
| 20 | Estimating the Shannon Entropy of Several Exponential Populations | 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) and Statistical Mechanics and Entropy (16 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.