S. Jayalakshmi
- Signal Processing top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Information Systems
- Oncology
- Co-authors
- S. ChandrakalaM. SundaresanSushmita PathySubhash ChanderAli Wagdy MohamedRajbir SinghShipra AgarwalMiroslav Mahdal
- Topics
- Speech and Audio Processing (6 papers)Music and Audio Processing (5 papers)Advanced Text Analysis Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessACM Computing Surveys
- Partner nations
- IndiaUnited StatesIreland
In The Last Decade
S. Jayalakshmi
36 papers receiving 240 citations
Peers
Comparison fields: 5 of 81
- Signal Processing 107
- Artificial Intelligence 59
- Computer Vision and Pattern Recognition 48
- Information Systems 36
- Oncology 24
Countries citing papers authored by S. Jayalakshmi
This map shows the geographic impact of S. Jayalakshmi'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. Jayalakshmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Jayalakshmi more than expected).
Fields of papers citing papers by S. Jayalakshmi
This network shows the impact of papers produced by S. Jayalakshmi. 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. Jayalakshmi. The network helps show where S. Jayalakshmi may publish in the future.
Co-authorship network of co-authors of S. Jayalakshmi
This figure shows the co-authorship network connecting the top 25 collaborators of S. Jayalakshmi. A scholar is included among the top collaborators of S. Jayalakshmi 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. Jayalakshmi. S. Jayalakshmi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | Designing of Special Type Double Sampling Plan for Life Tests Based on Percentiles Using Exponentiated Frechet Distribution | 0 |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | A Survey on Advance Black/Grey hole Detection and Prevention Techniques in DSR & AODV Protocols | 2 |
| 11 | A Novel approach of Crop selection using Soft Set Theory | 0 |
| 12 | 23 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | Bi-ideals of Near-subtraction Semigroup | 0 |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 7 |
About S. Jayalakshmi
S. Jayalakshmi is a scholar working on Signal Processing, Algebra and Number Theory and Artificial Intelligence, having authored 43 papers that have together received 256 indexed citations. Recurring topics across this work include Speech and Audio Processing (6 papers), Music and Audio Processing (5 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Developmental Biology (22 citations), Signal Processing (107 citations) and Computer Vision and Pattern Recognition (48 citations). S. Jayalakshmi has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include S. Chandrakala, M. Sundaresan, Sushmita Pathy, Subhash Chander, Ali Wagdy Mohamed, Rajbir Singh, Shipra Agarwal, Miroslav Mahdal, Hossam M. Zawbaa and Mehar Chand Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.
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.