Vinay J. Ribeiro
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Co-authors
- Rudolf H. RiediRichard G. BaraniukMatthew S CrouseAlireza Keshavarz‐HaddadChristophe DiotSue MoonHuzur SaranAnshul Kumar
- Topics
- Network Traffic and Congestion Control (18 papers)Mobile Ad Hoc Networks (11 papers)Complex Network Analysis Techniques (9 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE/ACM Transactions on NetworkingACM SIGCOMM Computer Communication Review
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Vinay J. Ribeiro
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Computer Networks and Communications 1.0k
- Electrical and Electronic Engineering 445
- Statistical and Nonlinear Physics 196
- Artificial Intelligence 178
- Signal Processing 168
Countries citing papers authored by Vinay J. Ribeiro
This map shows the geographic impact of Vinay J. Ribeiro'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 Vinay J. Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay J. Ribeiro more than expected).
Fields of papers citing papers by Vinay J. Ribeiro
This network shows the impact of papers produced by Vinay J. Ribeiro. 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 Vinay J. Ribeiro. The network helps show where Vinay J. Ribeiro may publish in the future.
Co-authorship network of co-authors of Vinay J. Ribeiro
This figure shows the co-authorship network connecting the top 25 collaborators of Vinay J. Ribeiro. A scholar is included among the top collaborators of Vinay J. Ribeiro 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 Vinay J. Ribeiro. Vinay J. Ribeiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 11 | |
| 12 | 29 | |
| 13 | 124 | |
| 14 | 22 | |
| 15 | 0 | |
| 16 | Multiscale Queuing Analysis | 2 |
| 17 | 1 | |
| 18 | 35 | |
| 19 | On the impact of variability on the buffer dynamics in IP networks | 14 |
| 20 | 9 |
About Vinay J. Ribeiro
Vinay J. Ribeiro is a scholar working on Computer Networks and Communications, Computational Mathematics and Statistical and Nonlinear Physics, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (18 papers), Mobile Ad Hoc Networks (11 papers) and Complex Network Analysis Techniques (9 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Statistical and Nonlinear Physics (196 citations) and Signal Processing (168 citations). Vinay J. Ribeiro has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Rudolf H. Riedi, Richard G. Baraniuk, Matthew S Crouse, Alireza Keshavarz‐Haddad, Christophe Diot, Sue Moon, Huzur Saran, Anshul Kumar, Mark Coates and Shriram Sarvotham. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE/ACM Transactions on Networking and ACM SIGCOMM Computer Communication Review.
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.