C. Satheesh Kumar
Impact in
- Statistics and Probability top 1%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
-
- Probabilistic and Robust Engineering Design
Papers in
-
- Statistical Distribution Estimation and Applications 67
- 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 (2 papers)Statistics & Probability Letters (2 papers)
- Partner nations
- India
In The Last Decade
C. Satheesh Kumar
59 papers receiving 283 citations
Peers
Comparison fields: 5 of 41
- Statistics and Probability 268
- Statistics, Probability and Uncertainty 98
- Finance 43
- Artificial Intelligence 117
- Management Science and Operations Research 36
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 3 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 29 | |
| 2 | 2013 | 27 | |
| 3 | 2011 | 13 | |
| 4 | 2013 | 12 | |
| 5 | 2017 | 12 | |
| 6 | 2013 | 11 | |
| 7 | 2007 | 10 | |
| 8 | 2018 | 10 | |
| 9 | 2013 | 10 | |
| 10 | 2013 | 10 | |
| 11 | 2013 | 9 | |
| 12 | 2002 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2014 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2010 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2009 | 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 69 papers that have together received 293 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (67 papers), Bayesian Methods and Mixture Models (33 papers), Probabilistic and Robust Engineering Design (19 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 (268 citations), Statistics, Probability and Uncertainty (98 citations), Finance (43 citations), Artificial Intelligence (117 citations) and Management Science and Operations Research (36 citations). C. Satheesh Kumar has collaborated with scholars based in India. Frequent co-authors include M. R. Anusree, L Manju and V. Deneshkumar. 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 Statistics & Probability Letters.
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.