R. Bhatia
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Mansoor AlicherryMurali KodialamLi LiYigal BejeranoRamachandran RamjeeHaiyun LuoRakesh SinhaJorge Lobo
- Topics
- Cooperative Communication and Network Coding (8 papers)Mobile Ad Hoc Networks (7 papers)Wireless Networks and Protocols (4 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Transactions on Knowledge and Data EngineeringIEEE/ACM Transactions on Networking
- Partner nations
- United StatesIsraelGermany
In The Last Decade
R. Bhatia
17 papers receiving 708 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 711
- Electrical and Electronic Engineering 378
- Signal Processing 38
- Computer Vision and Pattern Recognition 32
- Artificial Intelligence 26
Countries citing papers authored by R. Bhatia
This map shows the geographic impact of R. Bhatia'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 R. Bhatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Bhatia more than expected).
Fields of papers citing papers by R. Bhatia
This network shows the impact of papers produced by R. Bhatia. 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 R. Bhatia. The network helps show where R. Bhatia may publish in the future.
Co-authorship network of co-authors of R. Bhatia
This figure shows the co-authorship network connecting the top 25 collaborators of R. Bhatia. A scholar is included among the top collaborators of R. Bhatia 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 R. Bhatia. R. Bhatia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 16 | |
| 3 | 8 | |
| 4 | 78 | |
| 5 | 65 | |
| 6 | 289 | |
| 7 | 30 | |
| 8 | 124 | |
| 9 | 44 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 31 | |
| 15 | 2 | |
| 16 | 22 | |
| 17 | 6 |
About R. Bhatia
R. Bhatia is a scholar working on Computer Networks and Communications, Signal Processing and Hardware and Architecture, having authored 17 papers that have together received 754 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (8 papers), Mobile Ad Hoc Networks (7 papers) and Wireless Networks and Protocols (4 papers). The work is most often cited by research in Computer Networks and Communications (711 citations), Electrical and Electronic Engineering (378 citations) and Signal Processing (38 citations). R. Bhatia has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Mansoor Alicherry, Murali Kodialam, Li Li, Yigal Bejerano, Ramachandran Ramjee, Haiyun Luo, Rakesh Sinha, Jorge Lobo, S. Sengupta and T. V. Lakshman. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Knowledge and Data Engineering and IEEE/ACM Transactions on Networking.
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.