Isha Bagai
Impact in
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
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- Probabilistic and Robust Engineering Design
Papers in
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- Statistical Distribution Estimation and Applications 9
- Statistical Methods and Inference 4
- Statistical Methods in Clinical Trials 3
- Statistical Methods and Bayesian Inference 2
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- Probability and Risk Models 4
- Co-authors
- Subhash C. Kochar (4 shared papers)Б. Л. С. Пракаса Рао (4 shared papers)Kanchan Jain (3 shared papers)Jayant V. Deshpandé (5 shared papers)Harshinder Singh (1 shared paper)
- Journals
- Biometrika (2 papers)Biometrical Journal (1 paper)Annals of the Institute of Statistical Mathematics (1 paper)IEEE Transactions on Reliability (1 paper)Journal of nonparametric statistics (1 paper)
- Partner nations
- IndiaUnited Kingdom
In The Last Decade
Isha Bagai
12 papers receiving 272 citations
Peers
Comparison fields: 5 of 31
- Statistics and Probability 253
- Statistics, Probability and Uncertainty 83
- Management Science and Operations Research 97
- Safety, Risk, Reliability and Quality 54
- Software 16
Countries citing papers authored by Isha Bagai
This map shows the geographic impact of Isha Bagai'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 Isha Bagai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isha Bagai more than expected).
Fields of papers citing papers by Isha Bagai
This network shows the impact of papers produced by Isha Bagai. 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 Isha Bagai. The network helps show where Isha Bagai may publish in the future.
Co-authors
The 5 scholars most cited alongside Isha Bagai, 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 | 1986 | 98 | |
| 2 | 1989 | 44 | |
| 3 | 1991 | 36 | |
| 4 | 1990 | 27 | |
| 5 | 1994 | 19 | |
| 6 | 1995 | 19 | |
| 7 | 1989 | 18 | |
| 8 | 1989 | 17 | |
| 9 | Kernel type density estimates for positive valued random variables | 1995 | 10 |
| 10 | 1988 | 8 | |
| 11 | 1992 | 3 | |
| 12 | 1989 | 1 | |
| 13 | 1995 | 0 |
About Isha Bagai
Isha Bagai is a scholar working on Statistics and Probability, Management Science and Operations Research, Finance, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 13 papers that have together received 300 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (9 papers), Statistical Methods and Inference (4 papers), Probability and Risk Models (4 papers), Financial Risk and Volatility Modeling (3 papers), Statistical Methods in Clinical Trials (3 papers), Statistical Methods and Bayesian Inference (2 papers), Advanced Statistical Process Monitoring (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Statistics and Probability (253 citations), Statistics, Probability and Uncertainty (83 citations), Management Science and Operations Research (97 citations), Safety, Risk, Reliability and Quality (54 citations) and Software (16 citations). Isha Bagai has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Subhash C. Kochar, Б. Л. С. Пракаса Рао, Kanchan Jain, Jayant V. Deshpandé and Harshinder Singh. Their work appears in journals such as Biometrika, Biometrical Journal, Annals of the Institute of Statistical Mathematics, IEEE Transactions on Reliability and Journal of nonparametric statistics.
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.