T. J. Rao
- Statistics and Probability top 2%
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Artificial Intelligence
- Control and Systems Engineering
- Co-authors
- Rahul MukerjeeK. VijayanYogendra P. ChaubeyBikas K. SinhaKrishan Kumar PandeyS. SenguptaParamita MaitiJayanta Kumar Ghosh
- Topics
- Survey Sampling and Estimation Techniques (22 papers)Bayesian Methods and Mixture Models (10 papers)Statistical Methods and Bayesian Inference (8 papers)
- Cited by
- Statistics and ProbabilityGeneral EnergyRenewable Energy, Sustainability and the Environment
- Journals
- Journal of the American Statistical AssociationRenewable and Sustainable Energy ReviewsEnergy Policy
- Partner nations
- IndiaUnited StatesKuwait
In The Last Decade
T. J. Rao
47 papers receiving 522 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 249
- Electrical and Electronic Engineering 171
- Renewable Energy, Sustainability and the Environment 77
- Artificial Intelligence 57
- Control and Systems Engineering 54
Countries citing papers authored by T. J. Rao
This map shows the geographic impact of T. J. Rao'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 T. J. Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Rao more than expected).
Fields of papers citing papers by T. J. Rao
This network shows the impact of papers produced by T. J. Rao. 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 T. J. Rao. The network helps show where T. J. Rao may publish in the future.
Co-authorship network of co-authors of T. J. Rao
This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Rao. A scholar is included among the top collaborators of T. J. Rao 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 T. J. Rao. T. J. Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 41 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | A Study on Factors Influencing Claims in General Insurance Business in India | 1 |
| 12 | 1 | |
| 13 | Official statistics in India: the past and the present | 4 |
| 14 | 114 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 8 |
About T. J. Rao
T. J. Rao is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Business and International Management, having authored 51 papers that have together received 563 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (22 papers), Bayesian Methods and Mixture Models (10 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Statistics and Probability (249 citations), General Energy (6 citations) and Renewable Energy, Sustainability and the Environment (77 citations). T. J. Rao has collaborated with scholars based in India, United States and Kuwait. Frequent co-authors include Rahul Mukerjee, K. Vijayan, Yogendra P. Chaubey, Bikas K. Sinha, Krishan Kumar Pandey, S. Sengupta, Paramita Maiti, Jayanta Kumar Ghosh, Rajesh Singh and Anil Kumar. Their work appears in journals such as Journal of the American Statistical Association, Renewable and Sustainable Energy Reviews and Energy Policy.
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.