Aditya Ramamoorthy
About
In The Last Decade
Aditya Ramamoorthy
96 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 1.4k
- Electrical and Electronic Engineering 800
- Artificial Intelligence 241
- Computational Theory and Mathematics 114
- Computer Vision and Pattern Recognition 94
Countries citing papers authored by Aditya Ramamoorthy
This map shows the geographic impact of Aditya Ramamoorthy'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 Aditya Ramamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Ramamoorthy more than expected).
Fields of papers citing papers by Aditya Ramamoorthy
This network shows the impact of papers produced by Aditya Ramamoorthy. 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 Aditya Ramamoorthy. The network helps show where Aditya Ramamoorthy may publish in the future.
Co-authorship network of co-authors of Aditya Ramamoorthy
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Ramamoorthy. A scholar is included among the top collaborators of Aditya Ramamoorthy 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 Aditya Ramamoorthy. Aditya Ramamoorthy 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 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | Federated Over-the-Air Subspace Learning from Incomplete Data. | 1 |
| 12 | Leveraging Coding Techniques for Speeding up Distributed Computing | 19 |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 36 | |
| 17 | 15 | |
| 18 | 8 | |
| 19 | 12 | |
| 20 | Separating Distributed Source Coding from Network Coding | 2 |
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.