Ashok Sahai
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Applied Mathematics top 10%
- Electrical and Electronic Engineering
- Numerical Analysis top 10%
- Co-authors
- Karim KhanAjit SahaiGrant H. SkrepnekStéphane RobinBikash MedhiAmitava ChakrabartiRagini SinghVishram Singh
- Topics
- Advanced Statistical Methods and Models (7 papers)Survey Sampling and Estimation Techniques (7 papers)Statistical Methods and Bayesian Inference (4 papers)
- Partner nations
- IndiaTrinidad and TobagoUnited Kingdom
In The Last Decade
Ashok Sahai
39 papers receiving 475 citations
Peers
Comparison fields: 5 of 128
- Statistics and Probability 159
- Artificial Intelligence 124
- Applied Mathematics 45
- Electrical and Electronic Engineering 44
- Numerical Analysis 40
Countries citing papers authored by Ashok Sahai
This map shows the geographic impact of Ashok Sahai'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 Ashok Sahai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashok Sahai more than expected).
Fields of papers citing papers by Ashok Sahai
This network shows the impact of papers produced by Ashok Sahai. 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 Ashok Sahai. The network helps show where Ashok Sahai may publish in the future.
Co-authorship network of co-authors of Ashok Sahai
This figure shows the co-authorship network connecting the top 25 collaborators of Ashok Sahai. A scholar is included among the top collaborators of Ashok Sahai 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 Ashok Sahai. Ashok Sahai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The “March of Progress”: From Cosmic Singularity to Digital Singularity | 2 |
| 2 | 6 | |
| 3 | 7 | |
| 4 | Efficient Point Estimation of the Sharpe Ratio | 1 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | An Estimation Error Corrected Sharpe Ratio Using Bootstrap Resampling | 2 |
| 9 | • AN ITERATIVE REDUCED-BIAS ALGORITHM FOR A DUAL-FUSION VARIANT OF BERNSTEIN’S OPERATOR | 1 |
| 10 | Efficient Quadrature Using Bernstein’s Polynomial Weights via Fusion of Two Dual-Perspectives | 0 |
| 11 | On Efficient Variance Estimators for Normal Population with known Coefficient of Variation | 0 |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 0 | |
| 16 | 57 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 6 |
About Ashok Sahai
Ashok Sahai is a scholar working on Statistics and Probability, Numerical Analysis and Human-Computer Interaction, having authored 45 papers that have together received 512 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (7 papers), Survey Sampling and Estimation Techniques (7 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (159 citations), Numerical Analysis (40 citations) and Applied Mathematics (45 citations). Ashok Sahai has collaborated with scholars based in India, Trinidad and Tobago and United Kingdom. Frequent co-authors include Karim Khan, Ajit Sahai, Grant H. Skrepnek, Stéphane Robin, Bikash Medhi, Amitava Chakrabarti, Ragini Singh, Vishram Singh, Ahmed Al-Imam and Vijay N. Joish. Their work appears in journals such as Biometrika, Applied Mathematics and Computation and Journal of Biomedical 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.