S. Prasanna
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Signal Processing
- Electrical and Electronic Engineering
- Co-authors
- Aritra MitraY. V. Subba RaoSamarendra DandapatS. Mercy ShalinieGayadhar PradhanRohit SinhaN. BalajiN. Sriraam
- Topics
- Speech Recognition and Synthesis (4 papers)Speech and Audio Processing (3 papers)Chaos-based Image/Signal Encryption (3 papers)
- Journals
- Indian Journal of Science and TechnologyInternational Journal of Speech TechnologyInternational Journal of Engineering & Technology
- Partner nations
- India
In The Last Decade
S. Prasanna
18 papers receiving 251 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 164
- Artificial Intelligence 107
- Computer Networks and Communications 66
- Signal Processing 35
- Electrical and Electronic Engineering 27
Countries citing papers authored by S. Prasanna
This map shows the geographic impact of S. Prasanna'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. Prasanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Prasanna more than expected).
Fields of papers citing papers by S. Prasanna
This network shows the impact of papers produced by S. Prasanna. 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. Prasanna. The network helps show where S. Prasanna may publish in the future.
Co-authorship network of co-authors of S. Prasanna
This figure shows the co-authorship network connecting the top 25 collaborators of S. Prasanna. A scholar is included among the top collaborators of S. Prasanna 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. Prasanna. S. Prasanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 32 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | Image Fusion Using Wavelet Transform | 3 |
| 14 | 8 | |
| 15 | An Overview of Wireless Sensor Networks Applications and Security | 55 |
| 16 | 10 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 21 | |
| 20 | 115 |
About S. Prasanna
S. Prasanna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 22 papers that have together received 298 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Artificial Intelligence (107 citations) and Signal Processing (35 citations). S. Prasanna has collaborated with scholars based in India. Frequent co-authors include Aritra Mitra, Y. V. Subba Rao, Samarendra Dandapat, S. Mercy Shalinie, Gayadhar Pradhan, Rohit Sinha, N. Balaji, N. Sriraam, P. Krishnamoorthy and Anil Kumar Vuppala. Their work appears in journals such as Indian Journal of Science and Technology, International Journal of Speech Technology and International Journal of Engineering & Technology.
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.