Arun Raghuramu
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Chen‐Nee ChuahJeff RoweDipak GhosalMichael ZhangKarl LevittChang LiuBalachander KrishnamurthyRaghu Ganti
- Topics
- Software-Defined Networks and 5G (2 papers)Cryptography and Data Security (2 papers)Internet Traffic Analysis and Secure E-voting (2 papers)
- Journals
- IEEE Communications MagazineComputer CommunicationsIEEE Transactions on Network and Service Management
- Partner nations
- United StatesFinland
In The Last Decade
Arun Raghuramu
7 papers receiving 326 citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Electrical and Electronic Engineering 233
- Control and Systems Engineering 171
- Automotive Engineering 131
- Computer Networks and Communications 103
- Information Systems 65
Countries citing papers authored by Arun Raghuramu
This map shows the geographic impact of Arun Raghuramu'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 Arun Raghuramu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Raghuramu more than expected).
Fields of papers citing papers by Arun Raghuramu
This network shows the impact of papers produced by Arun Raghuramu. 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 Arun Raghuramu. The network helps show where Arun Raghuramu may publish in the future.
Co-authorship network of co-authors of Arun Raghuramu
This figure shows the co-authorship network connecting the top 25 collaborators of Arun Raghuramu. A scholar is included among the top collaborators of Arun Raghuramu 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 Arun Raghuramu. Arun Raghuramu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | Security vulnerabilities of connected vehicle streams and their impact on cooperative drivingbreakdown → | 299 |
| 7 | 16 |
About Arun Raghuramu
Arun Raghuramu is a scholar working on Signal Processing, Artificial Intelligence and Hardware and Architecture, having authored 7 papers that have together received 338 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (2 papers), Cryptography and Data Security (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Automotive Engineering (131 citations), Control and Systems Engineering (171 citations) and Computer Networks and Communications (103 citations). Arun Raghuramu has collaborated with scholars based in United States and Finland. Frequent co-authors include Chen‐Nee Chuah, Jeff Rowe, Dipak Ghosal, Michael Zhang, Karl Levitt, Chang Liu, Balachander Krishnamurthy, Raghu Ganti, Tarek Abdelzaher and Prasant Mohapatra. Their work appears in journals such as IEEE Communications Magazine, Computer Communications and IEEE Transactions on Network and Service Management.
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.