Maheswaran Sathiamoorthy
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Alexandros G. DimakisScott ChenDimitris PapailiopoulosMegasthenis AsterisDhruba BorthakurLichan HongEd H.Xinyang Yi
- Topics
- Recommender Systems and Techniques (7 papers)Opportunistic and Delay-Tolerant Networks (6 papers)Caching and Content Delivery (5 papers)
- Journals
- IEEE Transactions on Mobile ComputingProceedings of the VLDB EndowmentarXiv (Cornell University)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Maheswaran Sathiamoorthy
15 papers receiving 739 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 548
- Information Systems 259
- Artificial Intelligence 219
- Computational Theory and Mathematics 76
- Computer Vision and Pattern Recognition 74
Countries citing papers authored by Maheswaran Sathiamoorthy
This map shows the geographic impact of Maheswaran Sathiamoorthy'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 Maheswaran Sathiamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maheswaran Sathiamoorthy more than expected).
Fields of papers citing papers by Maheswaran Sathiamoorthy
This network shows the impact of papers produced by Maheswaran Sathiamoorthy. 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 Maheswaran Sathiamoorthy. The network helps show where Maheswaran Sathiamoorthy may publish in the future.
Co-authorship network of co-authors of Maheswaran Sathiamoorthy
This figure shows the co-authorship network connecting the top 25 collaborators of Maheswaran Sathiamoorthy. A scholar is included among the top collaborators of Maheswaran Sathiamoorthy 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 Maheswaran Sathiamoorthy. Maheswaran Sathiamoorthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 27 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 174 | |
| 9 | Opportunities and Challenges Of Machine Learning Accelerators In Production | 2 |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 22 | |
| 13 | XORing elephantsbreakdown → | 473 |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 14 |
About Maheswaran Sathiamoorthy
Maheswaran Sathiamoorthy is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 763 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Opportunistic and Delay-Tolerant Networks (6 papers) and Caching and Content Delivery (5 papers). The work is most often cited by research in Computer Networks and Communications (548 citations), Information Systems (259 citations) and Artificial Intelligence (219 citations). Maheswaran Sathiamoorthy has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Alexandros G. Dimakis, Scott Chen, Dimitris Papailiopoulos, Megasthenis Asteris, Dhruba Borthakur, Lichan Hong, Ed H., Xinyang Yi, Jilin Chen and Shawn Andrews. Their work appears in journals such as IEEE Transactions on Mobile Computing, Proceedings of the VLDB Endowment and arXiv (Cornell University).
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.