Daya K. Nagar
Impact in
- Statistics and Probability top 1%
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Random Matrices and Applications
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Computational Mathematics top 10%
Papers in
-
- Statistical Distribution Estimation and Applications 42
- Advanced Statistical Methods and Models 26
- Statistical Methods and Bayesian Inference 9
-
- Bayesian Methods and Mixture Models 35
- Co-authors
- Arjun K. Gupta (27 shared papers)Arjun K. Gupta (11 shared papers)Saralees Nadarajah (11 shared papers)Mohammad Arashi (6 shared papers)A. K. Gupta (1 shared paper)Jie Chen (1 shared paper)Xinping Cui (1 shared paper)Rajesh Bandekar (1 shared paper)
- Journals
- Journal of Multivariate Analysis (2 papers)Computers & Mathematics with Applications (2 papers)Applied Mathematics Letters (2 papers)Symmetry (2 papers)Linear Algebra and its Applications (1 paper)
- Partner nations
- ColombiaUnited StatesUnited Kingdom
In The Last Decade
Daya K. Nagar
78 papers receiving 719 citations
Daya K. Nagar's Hit Papers
Peers
Comparison fields: 5 of 90
- Statistics and Probability 363
- Computational Mathematics 17
- Statistics, Probability and Uncertainty 56
- Artificial Intelligence 247
- Applied Mathematics 73
Countries citing papers authored by Daya K. Nagar
This map shows the geographic impact of Daya K. Nagar'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 Daya K. Nagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daya K. Nagar more than expected).
Fields of papers citing papers by Daya K. Nagar
This network shows the impact of papers produced by Daya K. Nagar. 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 Daya K. Nagar. The network helps show where Daya K. Nagar may publish in the future.
Co-authors
The 11 scholars most cited alongside Daya K. Nagar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Matrix Variate Distributions Hit paper breakdown → | 2018 | 329 |
| 2 | 2000 | 36 | |
| 3 | 2002 | 32 | |
| 4 | 2011 | 32 | |
| 5 | 2009 | 20 | |
| 6 | 2013 | 19 | |
| 7 | 2001 | 14 | |
| 8 | 2012 | 13 | |
| 9 | 2001 | 12 | |
| 10 | 2008 | 12 | |
| 11 | 2009 | 11 | |
| 12 | 1985 | 11 | |
| 13 | 2014 | 10 | |
| 14 | 2009 | 8 | |
| 15 | 2012 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2003 | 7 | |
| 19 | 2006 | 6 | |
| 20 | 2012 | 6 |
About Daya K. Nagar
Daya K. Nagar is a scholar working on Statistics and Probability, Artificial Intelligence, Applied Mathematics, Management Science and Operations Research and Computational Theory and Mathematics, having authored 90 papers that have together received 751 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (42 papers), Bayesian Methods and Mixture Models (35 papers), Advanced Statistical Methods and Models (26 papers), Mathematical functions and polynomials (16 papers), Matrix Theory and Algorithms (10 papers), Statistical Methods and Bayesian Inference (9 papers), Probability and Risk Models (9 papers) and Probabilistic and Robust Engineering Design (8 papers). The work is most often cited by research in Statistics and Probability (363 citations), Computational Mathematics (17 citations), Statistics, Probability and Uncertainty (56 citations), Artificial Intelligence (247 citations) and Applied Mathematics (73 citations). Daya K. Nagar has collaborated with scholars based in Colombia, United States and United Kingdom. Frequent co-authors include Arjun K. Gupta, Arjun K. Gupta, Saralees Nadarajah, Mohammad Arashi, A. K. Gupta, Jie Chen, Xinping Cui, Rajesh Bandekar, José Ángel Pérez‐Álvarez and Bruce E. Johnson. Their work appears in journals such as Journal of Multivariate Analysis, Computers & Mathematics with Applications, Applied Mathematics Letters, Symmetry and Linear Algebra and its Applications.
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.