E. I. Abdul Sathar
- Statistics and Probability top 1%
- Statistics, Probability and Uncertainty top 2%
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Finance top 10%
- Co-authors
- K. R. NairE.V. Gijo
- Topics
- Statistical Distribution Estimation and Applications (41 papers)Probabilistic and Robust Engineering Design (25 papers)Statistical Methods and Inference (22 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyStatistical and Nonlinear Physics
- Journals
- SHILAP Revista de lepidopterologíaApplied Mathematical ModellingJournal of Computational and Applied Mathematics
- Partner nations
- India
In The Last Decade
E. I. Abdul Sathar
45 papers receiving 316 citations
Peers
Comparison fields: 5 of 32
- Statistics and Probability 288
- Statistics, Probability and Uncertainty 167
- Statistical and Nonlinear Physics 50
- Artificial Intelligence 47
- Finance 36
Countries citing papers authored by E. I. Abdul Sathar
This map shows the geographic impact of E. I. Abdul Sathar'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 E. I. Abdul Sathar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. I. Abdul Sathar more than expected).
Fields of papers citing papers by E. I. Abdul Sathar
This network shows the impact of papers produced by E. I. Abdul Sathar. 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 E. I. Abdul Sathar. The network helps show where E. I. Abdul Sathar may publish in the future.
Co-authorship network of co-authors of E. I. Abdul Sathar
This figure shows the co-authorship network connecting the top 25 collaborators of E. I. Abdul Sathar. A scholar is included among the top collaborators of E. I. Abdul Sathar 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 E. I. Abdul Sathar. E. I. Abdul Sathar 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | Bayes estimation of Lorenz curve and Gini-index for power function distribution | 7 |
| 18 | 3 | |
| 19 | 21 | |
| 20 | Generalized bivariate residual entropy function and some characterization results : theory and methods | 2 |
About E. I. Abdul Sathar
E. I. Abdul Sathar is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 54 papers that have together received 321 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (41 papers), Probabilistic and Robust Engineering Design (25 papers) and Statistical Methods and Inference (22 papers). The work is most often cited by research in Statistics and Probability (288 citations), Statistics, Probability and Uncertainty (167 citations) and Statistical and Nonlinear Physics (50 citations). E. I. Abdul Sathar has collaborated with scholars based in India. Frequent co-authors include K. R. Nair and E.V. Gijo. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Mathematical Modelling and Journal of Computational and Applied Mathematics.
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.