S. Praveena
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics
- Co-authors
- D. BinuB. R. RajakumarR LavanyaSurya Prakash SinghKaushal KumarIyyanki V. Murali KrishnaP. VeereshaA. Uma
- Topics
- Remote-Sensing Image Classification (7 papers)Advanced Image Fusion Techniques (5 papers)AI in cancer detection (3 papers)
- Cited by
- Health Information ManagementComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- IndiaSwitzerlandUnited States
In The Last Decade
S. Praveena
34 papers receiving 318 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 117
- Electrical and Electronic Engineering 110
- Computer Vision and Pattern Recognition 77
- Computer Networks and Communications 67
- Computational Theory and Mathematics 30
Countries citing papers authored by S. Praveena
This map shows the geographic impact of S. Praveena'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. Praveena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Praveena more than expected).
Fields of papers citing papers by S. Praveena
This network shows the impact of papers produced by S. Praveena. 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. Praveena. The network helps show where S. Praveena may publish in the future.
Co-authorship network of co-authors of S. Praveena
This figure shows the co-authorship network connecting the top 25 collaborators of S. Praveena. A scholar is included among the top collaborators of S. Praveena 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. Praveena. S. Praveena 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 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | EEG based Driver Drowsiness Detection and Alert System | 0 |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 25 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Biometric Authentication System for BodyArea Network | 7 |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | Automatic Fuzzy Classification Tool for Customer Loyalty using Gaussian Membership Function | 0 |
About S. Praveena
S. Praveena is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Health Information Management, having authored 41 papers that have together received 352 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (5 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Information Management (19 citations), Computer Vision and Pattern Recognition (77 citations) and Artificial Intelligence (117 citations). S. Praveena has collaborated with scholars based in India, Switzerland and United States. Frequent co-authors include D. Binu, B. R. Rajakumar, R Lavanya, Surya Prakash Singh, Kaushal Kumar, Iyyanki V. Murali Krishna, P. Veeresha, A. Uma, S. Prabakaran and Madhuban Gopal. Their work appears in journals such as Scientific Reports, Neural Computing and Applications and The Computer Journal.
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.