Ayalvadi Ganesh
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Co-authors
- Laurent MassouliéAnne-Marie KermarrecDon TowsleyDan S. WallachMiguel CastroPeter DruschelAntony RowstronMoez Draief
- Topics
- Peer-to-Peer Network Technologies (19 papers)Caching and Content Delivery (15 papers)Complex Network Analysis Techniques (15 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsModeling and Simulation
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Ayalvadi Ganesh
66 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Networks and Communications 2.0k
- Statistical and Nonlinear Physics 756
- Artificial Intelligence 405
- Information Systems 266
- Electrical and Electronic Engineering 261
Countries citing papers authored by Ayalvadi Ganesh
This map shows the geographic impact of Ayalvadi Ganesh'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 Ayalvadi Ganesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayalvadi Ganesh more than expected).
Fields of papers citing papers by Ayalvadi Ganesh
This network shows the impact of papers produced by Ayalvadi Ganesh. 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 Ayalvadi Ganesh. The network helps show where Ayalvadi Ganesh may publish in the future.
Co-authorship network of co-authors of Ayalvadi Ganesh
This figure shows the co-authorship network connecting the top 25 collaborators of Ayalvadi Ganesh. A scholar is included among the top collaborators of Ayalvadi Ganesh 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 Ayalvadi Ganesh. Ayalvadi Ganesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 62 | |
| 8 | 32 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 29 | |
| 14 | Efficient application-level multicast on a network-aware self-organizing overlay | 1 |
| 15 | 25 | |
| 16 | 101 | |
| 17 | 62 | |
| 18 | 1 | |
| 19 | 20 | |
| 20 | 7 |
About Ayalvadi Ganesh
Ayalvadi Ganesh is a scholar working on Computer Networks and Communications, Management Information Systems and Mathematical Physics, having authored 70 papers that have together received 2.9k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (19 papers), Caching and Content Delivery (15 papers) and Complex Network Analysis Techniques (15 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Statistical and Nonlinear Physics (756 citations) and Modeling and Simulation (122 citations). Ayalvadi Ganesh has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Laurent Massoulié, Anne-Marie Kermarrec, Don Towsley, Dan S. Wallach, Miguel Castro, Peter Druschel, Antony Rowstron, Moez Draief, Neil O’Connell and Peter Key. Their work appears in journals such as PLoS ONE, IEEE Transactions on Information Theory and Operations Research.
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.