Ravi Sankar
- Computer Networks and Communications top 1%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 5%
- Signal Processing top 1%
- Biomedical Engineering top 10%
- Co-authors
- İsmail BütünS.D. MorgeraIn-Ho RaGeorge EdwardsXuan Hung LeYufeng WangWilfrido MorenoStuart Hart
- Topics
- Mobile Ad Hoc Networks (21 papers)Wireless Communication Networks Research (17 papers)Speech and Audio Processing (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Communications Surveys & TutorialsAnalytica Chimica Acta
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Ravi Sankar
148 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Networks and Communications 1.1k
- Artificial Intelligence 757
- Electrical and Electronic Engineering 672
- Signal Processing 513
- Biomedical Engineering 352
Countries citing papers authored by Ravi Sankar
This map shows the geographic impact of Ravi Sankar'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 Ravi Sankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Sankar more than expected).
Fields of papers citing papers by Ravi Sankar
This network shows the impact of papers produced by Ravi Sankar. 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 Ravi Sankar. The network helps show where Ravi Sankar may publish in the future.
Co-authorship network of co-authors of Ravi Sankar
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Sankar. A scholar is included among the top collaborators of Ravi Sankar 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 Ravi Sankar. Ravi Sankar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 86 | |
| 9 | 44 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 35 | |
| 15 | 35 | |
| 16 | RBF based Multi-user Detection in DS-CDMA System | 1 |
| 17 | 6 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 142 |
About Ravi Sankar
Ravi Sankar is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 171 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (21 papers), Wireless Communication Networks Research (17 papers) and Speech and Audio Processing (16 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Signal Processing (513 citations) and Artificial Intelligence (757 citations). Ravi Sankar has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include İsmail Bütün, S.D. Morgera, In-Ho Ra, George Edwards, Xuan Hung Le, Yufeng Wang, Wilfrido Moreno, Stuart Hart, Sungyoung Lee and Sungyoung Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and Analytica Chimica Acta.
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.