S. Thamarai Selvi
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 10%
- Co-authors
- Rajkumar BuyyaChristian VecchiolaKannan GovindarajanD. SelvathiH. SelvarajLaxmi GewaliP. VaralakshmiP. Manimegalai
- Topics
- Distributed and Parallel Computing Systems (30 papers)Cloud Computing and Resource Management (21 papers)Parallel Computing and Optimization Techniques (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaMaterials Chemistry and PhysicsPattern Recognition Letters
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
S. Thamarai Selvi
75 papers receiving 839 citations
Peers
Comparison fields: 5 of 89
- Computer Networks and Communications 453
- Information Systems 354
- Artificial Intelligence 274
- Computer Vision and Pattern Recognition 146
- Neurology 96
Countries citing papers authored by S. Thamarai Selvi
This map shows the geographic impact of S. Thamarai Selvi'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. Thamarai Selvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Thamarai Selvi more than expected).
Fields of papers citing papers by S. Thamarai Selvi
This network shows the impact of papers produced by S. Thamarai Selvi. 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. Thamarai Selvi. The network helps show where S. Thamarai Selvi may publish in the future.
Co-authorship network of co-authors of S. Thamarai Selvi
This figure shows the co-authorship network connecting the top 25 collaborators of S. Thamarai Selvi. A scholar is included among the top collaborators of S. Thamarai Selvi 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. Thamarai Selvi. S. Thamarai Selvi 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 | 12 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | A Survey on Scheduling Algorithms in Cloud Computing | 1 |
| 9 | 2 | |
| 10 | ENHANCED ITERATION-FREE FRACTAL IMAGE CODING ALGORITHM WITH EFFICIENT SEARCH AND STORAGE SPACE | 2 |
| 11 | Scheduling jobs on computational grid using differential evolution algorithm | 2 |
| 12 | 50 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | Semantic matchmaking of grid services using parameter matchmaking algorithm. | 2 |
| 18 | Least Squares Support Vector Machine Based Classification of Abnormalities in Brain MR Images | 2 |
| 19 | 6 | |
| 20 | 12 |
About S. Thamarai Selvi
S. Thamarai Selvi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 85 papers that have together received 909 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (30 papers), Cloud Computing and Resource Management (21 papers) and Parallel Computing and Optimization Techniques (14 papers). The work is most often cited by research in Computer Networks and Communications (453 citations), Information Systems (354 citations) and Neurology (96 citations). S. Thamarai Selvi has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Rajkumar Buyya, Christian Vecchiola, Kannan Govindarajan, D. Selvathi, H. Selvaraj, Laxmi Gewali, P. Varalakshmi, P. Manimegalai, Paul Manuel and C. Valliyammai. Their work appears in journals such as SHILAP Revista de lepidopterología, Materials Chemistry and Physics and Pattern Recognition 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.