Cidambi Srinivasan
- Statistics and Probability top 1%
- Management Science and Operations Research top 2%
- Molecular Biology
- Artificial Intelligence top 10%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Dipak K. DeyPaul M. GoodrumClyde W. HolsappleLei ChiHenry E. NewkirkAlbert L. LedererHossein KarimiWilliam S. Rayens
- Topics
- Statistical Methods and Inference (14 papers)Advanced Statistical Methods and Models (12 papers)Statistical Methods and Bayesian Inference (5 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyRadiological and Ultrasound Technology
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Cidambi Srinivasan
73 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 184
- Statistics and Probability 404
- Management Science and Operations Research 219
- Molecular Biology 217
- Artificial Intelligence 158
- Statistics, Probability and Uncertainty 150
Countries citing papers authored by Cidambi Srinivasan
This map shows the geographic impact of Cidambi Srinivasan'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 Cidambi Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cidambi Srinivasan more than expected).
Fields of papers citing papers by Cidambi Srinivasan
This network shows the impact of papers produced by Cidambi Srinivasan. 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 Cidambi Srinivasan. The network helps show where Cidambi Srinivasan may publish in the future.
Co-authorship network of co-authors of Cidambi Srinivasan
This figure shows the co-authorship network connecting the top 25 collaborators of Cidambi Srinivasan. A scholar is included among the top collaborators of Cidambi Srinivasan 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 Cidambi Srinivasan. Cidambi Srinivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | A generalized Cp criterion for derivative estimation | 0 |
| 9 | The Color of Transparency: A Novel Sensitive Method to Measure Corneal Opacity | 1 |
| 10 | Supplement: A Generalized Cp Criterion for Derivative Estimation | 1 |
| 11 | 39 | |
| 12 | 75 | |
| 13 | 75 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 28 | |
| 17 | 0 | |
| 18 | 15 | |
| 19 | 67 | |
| 20 | 137 |
About Cidambi Srinivasan
Cidambi Srinivasan is a scholar working on Statistics and Probability, Radiological and Ultrasound Technology and Management Science and Operations Research, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Advanced Statistical Methods and Models (12 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Statistics and Probability (404 citations), Statistics, Probability and Uncertainty (150 citations) and Radiological and Ultrasound Technology (93 citations). Cidambi Srinivasan has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Dipak K. Dey, Paul M. Goodrum, Clyde W. Holsapple, Lei Chi, Henry E. Newkirk, Albert L. Lederer, Hossein Karimi, William S. Rayens, Timothy R. B. Taylor and Larry W. Robertson. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American Statistical Association and PLoS ONE.
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.