K. Krishnamoorthy
- Statistics and Probability top 0.1%
- Statistics, Probability and Uncertainty top 0.2%
- Management Science and Operations Research top 2%
- Artificial Intelligence top 5%
- Global and Planetary Change top 10%
- Co-authors
- Thomas MathewLin YinFei LuShubhabrata MukherjeeJie PengArjun K. GuptaSumona MondalXiao Wang
- Topics
- Advanced Statistical Methods and Models (69 papers)Statistical Distribution Estimation and Applications (53 papers)Statistical Methods and Bayesian Inference (39 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationTechnometrics
- Partner nations
- United StatesIndiaChina
In The Last Decade
K. Krishnamoorthy
116 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 190
- Statistics and Probability 1.6k
- Statistics, Probability and Uncertainty 719
- Management Science and Operations Research 333
- Artificial Intelligence 283
- Global and Planetary Change 174
Countries citing papers authored by K. Krishnamoorthy
This map shows the geographic impact of K. Krishnamoorthy'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 K. Krishnamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Krishnamoorthy more than expected).
Fields of papers citing papers by K. Krishnamoorthy
This network shows the impact of papers produced by K. Krishnamoorthy. 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 K. Krishnamoorthy. The network helps show where K. Krishnamoorthy may publish in the future.
Co-authorship network of co-authors of K. Krishnamoorthy
This figure shows the co-authorship network connecting the top 25 collaborators of K. Krishnamoorthy. A scholar is included among the top collaborators of K. Krishnamoorthy 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 K. Krishnamoorthy. K. Krishnamoorthy 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 28 | |
| 9 | 16 | |
| 10 | 11 | |
| 11 | 236 | |
| 12 | 22 | |
| 13 | 31 | |
| 14 | 4 | |
| 15 | 16 | |
| 16 | 15 | |
| 17 | 13 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 4 |
About K. Krishnamoorthy
K. Krishnamoorthy is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Chemical Health and Safety, having authored 125 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (69 papers), Statistical Distribution Estimation and Applications (53 papers) and Statistical Methods and Bayesian Inference (39 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Statistics, Probability and Uncertainty (719 citations) and Management Science and Operations Research (333 citations). K. Krishnamoorthy has collaborated with scholars based in United States, India and China. Frequent co-authors include Thomas Mathew, Lin Yin, Fei Lu, Shubhabrata Mukherjee, Jie Peng, Arjun K. Gupta, Sumona Mondal, Xiao Wang, Gurumurthy Ramachandran and Lili Tian. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.
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.