Samrat L. Sabat
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Siba K. UdgataS. MiniMundla NarasimhappaJagannath NayakJ.S. Armand Eyebe FoudaRangababu PeesapatiAjith AbrahamMarco H. Terra
- Topics
- Cognitive Radio Networks and Spectrum Sensing (33 papers)Blind Source Separation Techniques (19 papers)Distributed Sensor Networks and Detection Algorithms (19 papers)
In The Last Decade
Samrat L. Sabat
101 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Electrical and Electronic Engineering 672
- Computer Networks and Communications 550
- Artificial Intelligence 548
- Aerospace Engineering 346
- Computer Vision and Pattern Recognition 237
Countries citing papers authored by Samrat L. Sabat
This map shows the geographic impact of Samrat L. Sabat'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 Samrat L. Sabat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samrat L. Sabat more than expected).
Fields of papers citing papers by Samrat L. Sabat
This network shows the impact of papers produced by Samrat L. Sabat. 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 Samrat L. Sabat. The network helps show where Samrat L. Sabat may publish in the future.
Co-authorship network of co-authors of Samrat L. Sabat
This figure shows the co-authorship network connecting the top 25 collaborators of Samrat L. Sabat. A scholar is included among the top collaborators of Samrat L. Sabat 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 Samrat L. Sabat. Samrat L. Sabat 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 44 | |
| 13 | A Heuristic to Maximize Network Lifetime for Target Coverage Problem in Wireless Sensor Networks. | 11 |
| 14 | 103 | |
| 15 | 15 | |
| 16 | 18 | |
| 17 | 3 | |
| 18 | 37 | |
| 19 | Integrated Learning Particle Swarm Optimizer. | 2 |
| 20 | 2 |
About Samrat L. Sabat
Samrat L. Sabat is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 109 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (33 papers), Blind Source Separation Techniques (19 papers) and Distributed Sensor Networks and Detection Algorithms (19 papers). The work is most often cited by research in Computer Networks and Communications (550 citations), Artificial Intelligence (548 citations) and Aerospace Engineering (346 citations). Samrat L. Sabat has collaborated with scholars based in India, Cameroon and Brazil. Frequent co-authors include Siba K. Udgata, S. Mini, Mundla Narasimhappa, Jagannath Nayak, J.S. Armand Eyebe Fouda, Rangababu Peesapati, Ajith Abraham, Marco H. Terra, Leandro dos Santos Coelho and Joseph Yves Effa. Their work appears in journals such as IEEE Access, Energy and IEEE Transactions on Communications.
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.