Shankar Prakriya
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Aerospace Engineering top 10%
- Signal Processing top 10%
- Control and Systems Engineering
- Co-authors
- Anand JeePrabhat K. UpadhyayKamal AgrawalDimitrios HatzinakosMark F. FlanaganManav R. BhatnagarMayank GuptaSuneel Yadav
- Topics
- Advanced Wireless Communication Technologies (52 papers)Cooperative Communication and Network Coding (44 papers)Advanced MIMO Systems Optimization (44 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on CommunicationsIEEE Transactions on Wireless Communications
- Partner nations
- IndiaTaiwanUnited Kingdom
In The Last Decade
Shankar Prakriya
123 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 41
- Electrical and Electronic Engineering 1.1k
- Computer Networks and Communications 572
- Aerospace Engineering 173
- Signal Processing 101
- Control and Systems Engineering 52
Countries citing papers authored by Shankar Prakriya
This map shows the geographic impact of Shankar Prakriya'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 Shankar Prakriya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shankar Prakriya more than expected).
Fields of papers citing papers by Shankar Prakriya
This network shows the impact of papers produced by Shankar Prakriya. 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 Shankar Prakriya. The network helps show where Shankar Prakriya may publish in the future.
Co-authorship network of co-authors of Shankar Prakriya
This figure shows the co-authorship network connecting the top 25 collaborators of Shankar Prakriya. A scholar is included among the top collaborators of Shankar Prakriya 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 Shankar Prakriya. Shankar Prakriya 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 | 18 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 18 | |
| 9 | 37 | |
| 10 | 14 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 38 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 9 | |
| 18 | 13 | |
| 19 | 28 | |
| 20 | 43 |
About Shankar Prakriya
Shankar Prakriya is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 137 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Wireless Communication Technologies (52 papers), Cooperative Communication and Network Coding (44 papers) and Advanced MIMO Systems Optimization (44 papers). The work is most often cited by research in Computer Networks and Communications (572 citations), Electrical and Electronic Engineering (1.1k citations) and Signal Processing (101 citations). Shankar Prakriya has collaborated with scholars based in India, Taiwan and United Kingdom. Frequent co-authors include Anand Jee, Prabhat K. Upadhyay, Kamal Agrawal, Dimitrios Hatzinakos, Mark F. Flanagan, Manav R. Bhatnagar, Mayank Gupta, Suneel Yadav, Keshav Singh and S. M. Zafaruddin. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications and IEEE Transactions on Wireless 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.