Cidambi Srinivasan
- Statistics and Probability top 1%
- Statistical Methods and Inference 14
- Advanced Statistical Methods and Models 12
- Statistical Methods and Bayesian Inference 5
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- Innovation and Knowledge Management 4
- Business Strategy and Innovation 4
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- Geochemistry and Geologic Mapping 4
- Bayesian Methods and Mixture Models 4
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- Carcinogens and Genotoxicity Assessment 4
- Co-authors
- Dipak K. DeyPaul M. GoodrumClyde W. HolsappleLei ChiHenry E. NewkirkAlbert L. LedererHossein KarimiWilliam S. Rayens
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyRadiological and Ultrasound Technology
- Journals
- Journal of Biological Chemistry (2 papers)Journal of the American Statistical Association (2 papers)PLoS ONE (1 paper)
- 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
- Statistics, Probability and Uncertainty 150
- Radiological and Ultrasound Technology 93
- Management Science and Operations Research 219
- Management Information Systems 118
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
The 25 scholars most cited alongside Cidambi Srinivasan, 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 | 2025 | 0 | |
| 2 | 2024 | 16 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2015 | 1 | |
| 7 | 2014 | 5 | |
| 8 | A generalized Cp criterion for derivative estimation | 2013 | 0 |
| 9 | The Color of Transparency: A Novel Sensitive Method to Measure Corneal Opacity | 2012 | 1 |
| 10 | Supplement: A Generalized Cp Criterion for Derivative Estimation | 2011 | 1 |
| 11 | 2011 | 39 | |
| 12 | 2010 | 75 | |
| 13 | 2008 | 75 | |
| 14 | 2007 | 8 | |
| 15 | 2006 | 2 | |
| 16 | 2006 | 28 | |
| 17 | 2004 | 0 | |
| 18 | 2003 | 15 | |
| 19 | 2003 | 67 | |
| 20 | 1993 | 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), Statistical Methods and Bayesian Inference (5 papers), Innovation and Knowledge Management (4 papers), Geochemistry and Geologic Mapping (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Bayesian Methods and Mixture Models (4 papers) and Business Strategy and Innovation (4 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.