Srivatsan Ravi
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Matteo MaffeiPedro Moreno-SánchezAniket KateGiulio MalavoltaAziz MohaisenAfsah AnwarMuhammad SaadPatrick Eugster
- Topics
- Distributed systems and fault tolerance (15 papers)Cryptography and Data Security (6 papers)Cognitive Functions and Memory (5 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE/ACM Transactions on NetworkingJournal of Parallel and Distributed Computing
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Srivatsan Ravi
23 papers receiving 249 citations
Peers
Comparison fields: 5 of 38
- Information Systems 155
- Computer Networks and Communications 141
- Artificial Intelligence 101
- Electrical and Electronic Engineering 40
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Srivatsan Ravi
This map shows the geographic impact of Srivatsan Ravi'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 Srivatsan Ravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srivatsan Ravi more than expected).
Fields of papers citing papers by Srivatsan Ravi
This network shows the impact of papers produced by Srivatsan Ravi. 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 Srivatsan Ravi. The network helps show where Srivatsan Ravi may publish in the future.
Co-authorship network of co-authors of Srivatsan Ravi
This figure shows the co-authorship network connecting the top 25 collaborators of Srivatsan Ravi. A scholar is included among the top collaborators of Srivatsan Ravi 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 Srivatsan Ravi. Srivatsan Ravi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 21 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 157 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 16 | |
| 19 | 6 | |
| 20 | From Sequential to Concurrent: Correctness and Relative Efficiency | 1 |
About Srivatsan Ravi
Srivatsan Ravi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Experimental and Cognitive Psychology, having authored 29 papers that have together received 259 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (15 papers), Cryptography and Data Security (6 papers) and Cognitive Functions and Memory (5 papers). The work is most often cited by research in Information Systems (155 citations), Computer Networks and Communications (141 citations) and Artificial Intelligence (101 citations). Srivatsan Ravi has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Matteo Maffei, Pedro Moreno-Sánchez, Aniket Kate, Giulio Malavolta, Aziz Mohaisen, Afsah Anwar, Muhammad Saad, Patrick Eugster, Petr Kuznetsov and Hagit Attiya. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE/ACM Transactions on Networking and Journal of Parallel and Distributed Computing.
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.