Kaliappa Ravindran
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Artificial Intelligence
- Sociology and Political Science
- Topics
- Distributed systems and fault tolerance (40 papers)Software System Performance and Reliability (18 papers)Network Traffic and Congestion Control (14 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringIEEE/ACM Transactions on NetworkingComputer Communications
- Partner nations
- United StatesBangladeshIndia
In The Last Decade
Kaliappa Ravindran
72 papers receiving 418 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 379
- Electrical and Electronic Engineering 101
- Information Systems 88
- Artificial Intelligence 83
- Sociology and Political Science 48
Countries citing papers authored by Kaliappa Ravindran
This map shows the geographic impact of Kaliappa Ravindran'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 Kaliappa Ravindran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaliappa Ravindran more than expected).
Fields of papers citing papers by Kaliappa Ravindran
This network shows the impact of papers produced by Kaliappa Ravindran. 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 Kaliappa Ravindran. The network helps show where Kaliappa Ravindran may publish in the future.
Co-authorship network of co-authors of Kaliappa Ravindran
This figure shows the co-authorship network connecting the top 25 collaborators of Kaliappa Ravindran. A scholar is included among the top collaborators of Kaliappa Ravindran 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 Kaliappa Ravindran. Kaliappa Ravindran 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 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | Adaptive voting algorithms for the reliable dissemination of data in fault-prone distributed environments | 1 |
| 15 | 30 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 46 | |
| 20 | 1 |
About Kaliappa Ravindran
Kaliappa Ravindran is a scholar working on Computer Networks and Communications, Hardware and Architecture and Software, having authored 83 papers that have together received 445 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (40 papers), Software System Performance and Reliability (18 papers) and Network Traffic and Congestion Control (14 papers). The work is most often cited by research in Computer Networks and Communications (379 citations), Hardware and Architecture (33 citations) and Information Systems (88 citations). Kaliappa Ravindran has collaborated with scholars based in United States, Bangladesh and India. Frequent co-authors include Xiliang Liu, Dmitri Loguinov, Kevin A. Kwiat, Benyuan Liu, Jun Wu, D. Dhinakaran, Bo Cao, Kaushal Shah, Patrick Hurley and K. K. Ramakrishnan. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE/ACM Transactions on Networking and Computer 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.