Krishnamoorthy Sivakumar
About
In The Last Decade
Krishnamoorthy Sivakumar
69 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 877
- Computer Networks and Communications 303
- Computer Vision and Pattern Recognition 231
- Computational Theory and Mathematics 231
- Information Systems 226
Countries citing papers authored by Krishnamoorthy Sivakumar
This map shows the geographic impact of Krishnamoorthy Sivakumar'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 Krishnamoorthy Sivakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishnamoorthy Sivakumar more than expected).
Fields of papers citing papers by Krishnamoorthy Sivakumar
This network shows the impact of papers produced by Krishnamoorthy Sivakumar. 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 Krishnamoorthy Sivakumar. The network helps show where Krishnamoorthy Sivakumar may publish in the future.
Co-authorship network of co-authors of Krishnamoorthy Sivakumar
This figure shows the co-authorship network connecting the top 25 collaborators of Krishnamoorthy Sivakumar. A scholar is included among the top collaborators of Krishnamoorthy Sivakumar 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 Krishnamoorthy Sivakumar. Krishnamoorthy Sivakumar 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 | 2 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | Equalization algorithms for the two-dimensional intersymbol interference channel | 1 |
| 11 | 13 | |
| 12 | Privacy-preserving Bayesian network parameter learning | 2 |
| 13 | Data Mining: Next Generation Challenges and Future Directions | 124 |
| 14 | 367 | |
| 15 | 19 | |
| 16 | 8 | |
| 17 | 94 | |
| 18 | 82 | |
| 19 | Nonlinear filters in genomic control. | 8 |
| 20 | 7 |
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.