Rakesh K. Sinha
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence
- Co-authors
- Rittwik JanaVijay GopalakrishnanFunda ErgünEmir HalepovicLisa ZhangCormac J. SreenanAhmed H. ZahranDarijo Raca
- Topics
- Advanced Optical Network Technologies (8 papers)Image and Video Quality Assessment (7 papers)Advanced Photonic Communication Systems (6 papers)
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Communications MagazineIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United StatesIrelandAustralia
In The Last Decade
Rakesh K. Sinha
22 papers receiving 393 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 228
- Electrical and Electronic Engineering 179
- Computer Vision and Pattern Recognition 169
- Signal Processing 103
- Artificial Intelligence 41
Countries citing papers authored by Rakesh K. Sinha
This map shows the geographic impact of Rakesh K. Sinha'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 Rakesh K. Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh K. Sinha more than expected).
Fields of papers citing papers by Rakesh K. Sinha
This network shows the impact of papers produced by Rakesh K. Sinha. 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 Rakesh K. Sinha. The network helps show where Rakesh K. Sinha may publish in the future.
Co-authorship network of co-authors of Rakesh K. Sinha
This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh K. Sinha. A scholar is included among the top collaborators of Rakesh K. Sinha 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 Rakesh K. Sinha. Rakesh K. Sinha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 52 | |
| 3 | 23 | |
| 4 | 12 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 110 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 29 | |
| 14 | 4 | |
| 15 | 82 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 11 |
About Rakesh K. Sinha
Rakesh K. Sinha is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Networks and Communications, having authored 22 papers that have together received 413 indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (8 papers), Image and Video Quality Assessment (7 papers) and Advanced Photonic Communication Systems (6 papers). The work is most often cited by research in Computer Networks and Communications (228 citations), Signal Processing (103 citations) and Computer Vision and Pattern Recognition (169 citations). Rakesh K. Sinha has collaborated with scholars based in United States, Ireland and Australia. Frequent co-authors include Rittwik Jana, Vijay Gopalakrishnan, Funda Ergün, Emir Halepovic, Lisa Zhang, Cormac J. Sreenan, Ahmed H. Zahran, Darijo Raca, Xuan Kelvin Zou and Jennifer Rexford. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and IEEE Transactions on Knowledge and Data Engineering.
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.