S. Appadwedula
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Douglas L. JonesVenugopal V. VeeravalliKannan RamchandranManish GoelNaresh R. ShanbhagC.M. KellerBrendan O’ConnorRaymond Wagner
- Topics
- Advanced Data Compression Techniques (8 papers)Video Coding and Compression Technologies (5 papers)Distributed Sensor Networks and Detection Algorithms (5 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Journal on Selected Areas in CommunicationsIEEE Communications Letters
- Partner nations
- United States
In The Last Decade
S. Appadwedula
18 papers receiving 455 citations
Peers
Comparison fields: 5 of 41
- Computer Networks and Communications 385
- Electrical and Electronic Engineering 215
- Artificial Intelligence 209
- Signal Processing 74
- Computer Vision and Pattern Recognition 66
Countries citing papers authored by S. Appadwedula
This map shows the geographic impact of S. Appadwedula'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. Appadwedula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Appadwedula more than expected).
Fields of papers citing papers by S. Appadwedula
This network shows the impact of papers produced by S. Appadwedula. 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. Appadwedula. The network helps show where S. Appadwedula may publish in the future.
Co-authorship network of co-authors of S. Appadwedula
This figure shows the co-authorship network connecting the top 25 collaborators of S. Appadwedula. A scholar is included among the top collaborators of S. Appadwedula 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. Appadwedula. S. Appadwedula 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 137 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 153 | |
| 9 | 3 | |
| 10 | 40 | |
| 11 | 13 | |
| 12 | Energy -Efficient Sensor Networks for Detection Applications | 8 |
| 13 | 10 | |
| 14 | 14 | |
| 15 | 19 | |
| 16 | 13 | |
| 17 | 8 | |
| 18 | 33 | |
| 19 | A General Joint Source-Channel Matching Method for Error Resilient Wireless Video Transmission | 0 |
| 20 | 20 |
About S. Appadwedula
S. Appadwedula is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 20 papers that have together received 490 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (8 papers), Video Coding and Compression Technologies (5 papers) and Distributed Sensor Networks and Detection Algorithms (5 papers). The work is most often cited by research in Computer Networks and Communications (385 citations), Signal Processing (74 citations) and Artificial Intelligence (209 citations). S. Appadwedula has collaborated with scholars based in United States. Frequent co-authors include Douglas L. Jones, Venugopal V. Veeravalli, Kannan Ramchandran, Manish Goel, Naresh R. Shanbhag, C.M. Keller, Brendan O’Connor, Raymond Wagner, David Browne and Richard G. Baraniuk. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications and IEEE Communications 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.