Ravi Nair
- Computer Networks and Communications top 2%
- Hardware and Architecture top 1%
- Electrical and Electronic Engineering top 10%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Co-authors
- James E. SmithMartin HopkinsJaime H. MorenoRajeev BalasubramonianTroy D. ManningSteven SwansonRichard E. MurphyJichuan Chang
- Topics
- Parallel Computing and Optimization Techniques (18 papers)Distributed and Parallel Computing Systems (7 papers)Advanced Data Storage Technologies (7 papers)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Ravi Nair
27 papers receiving 999 citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 627
- Hardware and Architecture 533
- Electrical and Electronic Engineering 373
- Information Systems 333
- Artificial Intelligence 205
Countries citing papers authored by Ravi Nair
This map shows the geographic impact of Ravi Nair'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 Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Nair more than expected).
Fields of papers citing papers by Ravi Nair
This network shows the impact of papers produced by Ravi Nair. 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 Nair. The network helps show where Ravi Nair may publish in the future.
Co-authorship network of co-authors of Ravi Nair
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Nair. A scholar is included among the top collaborators of Ravi Nair 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 Ravi Nair. Ravi Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 31 | |
| 4 | 6 | |
| 5 | 51 | |
| 6 | 161 | |
| 7 | 102 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | Virtual Machines: Versatile Platforms for Systems and Processes (The Morgan Kaufmann Series in Computer Architecture and Design) | 47 |
| 13 | An Overview of Virtual Machine Architectures | 10 |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 71 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 19 |
About Ravi Nair
Ravi Nair is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Distributed and Parallel Computing Systems (7 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Hardware and Architecture (533 citations), Computer Networks and Communications (627 citations) and Information Systems (333 citations). Ravi Nair has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include James E. Smith, Martin Hopkins, Jaime H. Moreno, Rajeev Balasubramonian, Troy D. Manning, Steven Swanson, Richard E. Murphy, Jichuan Chang, Daniel A. Prener and Vijayalakshmi Srinivasan. Their work appears in journals such as Proceedings of the IEEE, Communications of the ACM and Computer.
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.