C. Satheesh Kumar
Impact in
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
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- Probabilistic and Robust Engineering Design
Papers in
-
- Statistical Distribution Estimation and Applications 68
- Statistical Methods and Bayesian Inference 14
-
- Bayesian Methods and Mixture Models 33
- Journals
- Journal of Statistical Computation and Simulation (2 papers)AStA Advances in Statistical Analysis (1 paper)Communications in Statistics - Simulation and Computation (5 papers)Journal of Applied Statistics (3 papers)American Journal of Mathematical and Management Sciences (2 papers)
- Partner nations
- India
In The Last Decade
C. Satheesh Kumar
61 papers receiving 291 citations
Peers
Comparison fields: 5 of 39
- Statistics and Probability 273
- Statistics, Probability and Uncertainty 101
- Finance 43
- Artificial Intelligence 118
- Management Science and Operations Research 38
Countries citing papers authored by C. Satheesh Kumar
This map shows the geographic impact of C. Satheesh Kumar'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 C. Satheesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Satheesh Kumar more than expected).
Fields of papers citing papers by C. Satheesh Kumar
This network shows the impact of papers produced by C. Satheesh Kumar. 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 C. Satheesh Kumar. The network helps show where C. Satheesh Kumar may publish in the future.
Co-authors
The 2 scholars most cited alongside C. Satheesh Kumar, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 30 | |
| 2 | 2013 | 27 | |
| 3 | 2011 | 13 | |
| 4 | 2017 | 12 | |
| 5 | 2013 | 12 | |
| 6 | 2013 | 11 | |
| 7 | 2013 | 11 | |
| 8 | 2007 | 10 | |
| 9 | 2013 | 10 | |
| 10 | 2018 | 10 | |
| 11 | 2013 | 9 | |
| 12 | 2002 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2014 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2010 | 5 | |
| 18 | 1995 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2014 | 5 |
About C. Satheesh Kumar
C. Satheesh Kumar is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Finance and Management Science and Operations Research, having authored 70 papers that have together received 298 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (68 papers), Bayesian Methods and Mixture Models (33 papers), Probabilistic and Robust Engineering Design (20 papers), Statistical Methods and Bayesian Inference (14 papers), Hydrology and Drought Analysis (8 papers), Financial Risk and Volatility Modeling (8 papers), Probability and Risk Models (7 papers) and Reliability and Maintenance Optimization (6 papers). The work is most often cited by research in Statistics and Probability (273 citations), Statistics, Probability and Uncertainty (101 citations), Finance (43 citations), Artificial Intelligence (118 citations) and Management Science and Operations Research (38 citations). C. Satheesh Kumar has collaborated with scholars based in India. Frequent co-authors include M. R. Anusree and L Manju. Their work appears in journals such as Journal of Statistical Computation and Simulation, AStA Advances in Statistical Analysis, Communications in Statistics - Simulation and Computation, Journal of Applied Statistics and American Journal of Mathematical and Management Sciences.
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.