S. Kannan
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Co-authors
- N. RamarajMoni NaorPeter GemmellManuel BlumWilliam J. EvansJoan FeigenbaumMartı́n Farach-ColtonS. Muthukrishnan
- Topics
- Data Mining Algorithms and Applications (6 papers)Imbalanced Data Classification Techniques (4 papers)Rough Sets and Fuzzy Logic (4 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesIndiaGermany
In The Last Decade
S. Kannan
27 papers receiving 479 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 339
- Information Systems 122
- Computer Networks and Communications 115
- Computer Vision and Pattern Recognition 86
- Molecular Biology 82
Countries citing papers authored by S. Kannan
This map shows the geographic impact of S. Kannan'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 S. Kannan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kannan more than expected).
Fields of papers citing papers by S. Kannan
This network shows the impact of papers produced by S. Kannan. 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 S. Kannan. The network helps show where S. Kannan may publish in the future.
Co-authorship network of co-authors of S. Kannan
This figure shows the co-authorship network connecting the top 25 collaborators of S. Kannan. A scholar is included among the top collaborators of S. Kannan 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 S. Kannan. S. Kannan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | Prediction of Code Fault Using Naive Bayes and SVM Classifiers | 4 |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 26 | |
| 15 | 1 | |
| 16 | 24 | |
| 17 | 15 | |
| 18 | 4 | |
| 19 | Testing and spot-checking of data streams | 15 |
| 20 | 106 |
About S. Kannan
S. Kannan is a scholar working on Artificial Intelligence, Software and Signal Processing, having authored 33 papers that have together received 518 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Imbalanced Data Classification Techniques (4 papers) and Rough Sets and Fuzzy Logic (4 papers). The work is most often cited by research in Artificial Intelligence (339 citations), Software (21 citations) and Information Systems (122 citations). S. Kannan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include N. Ramaraj, Moni Naor, Peter Gemmell, Manuel Blum, William J. Evans, Joan Feigenbaum, Martı́n Farach-Colton, S. Muthukrishnan, Emanuel Knill and M. Karnan. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.