N. Balakrishnan
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications 6
- Statistical Methods and Bayesian Inference 1
- Finance top 5%
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- Probability and Risk Models 1
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- Bayesian Methods and Mixture Models 2
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- Advanced Computational Techniques in Science and Engineering 1
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- Advanced Data Processing Techniques 1
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- Information Systems and Technology Applications 1
- Co-authors
- Chris ChatfieldNorman L. JohnsonSamuel KotzWendy L. PostonRodney ColemanFelix FamoyeRobert H. BerkLuisa Turrin Fernholz
- Journals
- Journal of the American Statistical Association (2 papers)Technometrics (4 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (1 paper)
- Partner nations
- NetherlandsCanadaTaiwan
In The Last Decade
N. Balakrishnan
9 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Statistics and Probability 510
- Statistics, Probability and Uncertainty 244
- Finance 139
- Management Science and Operations Research 161
- Safety, Risk, Reliability and Quality 61
Countries citing papers authored by N. Balakrishnan
This map shows the geographic impact of N. Balakrishnan'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 N. Balakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Balakrishnan more than expected).
Fields of papers citing papers by N. Balakrishnan
This network shows the impact of papers produced by N. Balakrishnan. 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 N. Balakrishnan. The network helps show where N. Balakrishnan may publish in the future.
Co-authorship network
The 10 scholars most cited alongside N. Balakrishnan, 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 | 2010 | 11 | |
| 2 | 1998 | 8 | |
| 3 | 1998 | 170 | |
| 4 | 1998 | 13 | |
| 5 | 1996 | 7 | |
| 6 | 1996 | 46 | |
| 7 | 1996 | 125 | |
| 8 | Continuous Univariate Distributions.breakdown → | 1995 | 825 |
| 9 | 1995 | 53 |
About N. Balakrishnan
N. Balakrishnan is a scholar working on Statistics and Probability, Management Information Systems and Management Science and Operations Research, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (6 papers), Bayesian Methods and Mixture Models (2 papers), Advanced Computational Techniques in Science and Engineering (1 paper), Advanced Data Processing Techniques (1 paper), Statistical Methods and Bayesian Inference (1 paper), Probability and Risk Models (1 paper) and Information Systems and Technology Applications (1 paper). The work is most often cited by research in Statistics and Probability (510 citations), Statistics, Probability and Uncertainty (244 citations) and Finance (139 citations). N. Balakrishnan has collaborated with scholars based in Netherlands, Canada and Taiwan. Frequent co-authors include Chris Chatfield, Norman L. Johnson, Samuel Kotz, Wendy L. Poston, Rodney Coleman, Felix Famoye, Robert H. Berk, Luisa Turrin Fernholz, Chien‐Tai Lin and Eric R. Ziegel. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Journal of the Royal Statistical Society Series A (Statistics in Society).
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.