Ravi Sundaram
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- Optimization and Search Problems 8
- Caching and Content Delivery 8
- Peer-to-Peer Network Technologies 6
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- Complexity and Algorithms in Graphs 6
- Information Systems top 5%
- Artificial Intelligence top 10%
- Cryptography and Data Security 5
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- Game Theory and Applications 5
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- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 5
- Co-authors
- Alexander RussellNikolaos LaoutarisPablo RodríguezGeorgios SmaragdakisRajmohan RajaramanGuevara NoubirAlan M. FeinLawrence Shulman
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsInformation Systems
- Partner nations
- United StatesSpainMexico
In The Last Decade
Ravi Sundaram
50 papers receiving 895 citations
Peers
Comparison fields: 5 of 114
- Computer Networks and Communications 465
- Computational Theory and Mathematics 137
- Information Systems 140
- Artificial Intelligence 191
- Management Science and Operations Research 70
Countries citing papers authored by Ravi Sundaram
This map shows the geographic impact of Ravi Sundaram'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 Ravi Sundaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Sundaram more than expected).
Fields of papers citing papers by Ravi Sundaram
This network shows the impact of papers produced by Ravi Sundaram. 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 Ravi Sundaram. The network helps show where Ravi Sundaram may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ravi Sundaram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2018 | 1 | |
| 4 | Mesh assembly framework for hybrid 3D FEM/FEBI/MoM electromagnetic simulations | 2015 | 0 |
| 5 | An Upper Bound on Trilaterating Simple Polygons. | 2015 | 1 |
| 6 | 2015 | 12 | |
| 7 | 2014 | 5 | |
| 8 | 2013 | 5 | |
| 9 | 2013 | 26 | |
| 10 | 2011 | 0 | |
| 11 | 2010 | 3 | |
| 12 | 2010 | 6 | |
| 13 | 2007 | 7 | |
| 14 | Towards a Topology Generator Modeling AS Relationships | 2005 | 1 |
| 15 | 2005 | 11 | |
| 16 | 2000 | 66 | |
| 17 | 1999 | 15 | |
| 18 | 1998 | 8 | |
| 19 | 1998 | 40 | |
| 20 | 1996 | 3 |
About Ravi Sundaram
Ravi Sundaram is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 54 papers that have together received 939 indexed citations. Recurring topics across this work include Optimization and Search Problems (8 papers), Caching and Content Delivery (8 papers), Complex Network Analysis Techniques (8 papers), Peer-to-Peer Network Technologies (6 papers), Complexity and Algorithms in Graphs (6 papers), Game Theory and Applications (5 papers), Cryptography and Data Security (5 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Computer Networks and Communications (465 citations), Computational Theory and Mathematics (137 citations) and Information Systems (140 citations). Ravi Sundaram has collaborated with scholars based in United States, Spain and Mexico. Frequent co-authors include Alexander Russell, Nikolaos Laoutaris, Pablo Rodríguez, Georgios Smaragdakis, Rajmohan Rajaraman, Guevara Noubir, Alan M. Fein, Lawrence Shulman, Arvind Krishnamurthy and Haichen Shen. Their work appears in journals such as PLoS ONE, Sensors and Actuators B Chemical and Journal of the ACM.
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.