Sudha Anbalagan
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Information Systems top 5%
- Co-authors
- Gunasekaran RajaAli Kashif BashirKapal DevSahaya Beni PrathibaMohsen GuizaniDhananjay KumarNeeraj KumarYasser D. Al‐Otaibi
- Topics
- Vehicular Ad Hoc Networks (VANETs) (13 papers)UAV Applications and Optimization (6 papers)Robotic Path Planning Algorithms (5 papers)
- Cited by
- Computer Networks and CommunicationsAutomotive EngineeringElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Vehicular TechnologyIEEE Transactions on Intelligent Transportation SystemsSustainability
- Partner nations
- IndiaUnited KingdomSaudi Arabia
In The Last Decade
Sudha Anbalagan
29 papers receiving 729 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 416
- Electrical and Electronic Engineering 401
- Artificial Intelligence 187
- Aerospace Engineering 129
- Information Systems 126
Countries citing papers authored by Sudha Anbalagan
This map shows the geographic impact of Sudha Anbalagan'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 Sudha Anbalagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudha Anbalagan more than expected).
Fields of papers citing papers by Sudha Anbalagan
This network shows the impact of papers produced by Sudha Anbalagan. 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 Sudha Anbalagan. The network helps show where Sudha Anbalagan may publish in the future.
Co-authorship network of co-authors of Sudha Anbalagan
This figure shows the co-authorship network connecting the top 25 collaborators of Sudha Anbalagan. A scholar is included among the top collaborators of Sudha Anbalagan 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 Sudha Anbalagan. Sudha Anbalagan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 42 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 38 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 36 | |
| 13 | 49 | |
| 14 | 99 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 24 | |
| 18 | 20 | |
| 19 | 16 | |
| 20 | The Future Usage of Smart Phones | 1 |
About Sudha Anbalagan
Sudha Anbalagan is a scholar working on Computer Networks and Communications, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 755 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (13 papers), UAV Applications and Optimization (6 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Computer Networks and Communications (416 citations), Automotive Engineering (91 citations) and Electrical and Electronic Engineering (401 citations). Sudha Anbalagan has collaborated with scholars based in India, United Kingdom and Saudi Arabia. Frequent co-authors include Gunasekaran Raja, Ali Kashif Bashir, Kapal Dev, Sahaya Beni Prathiba, Mohsen Guizani, Dhananjay Kumar, Neeraj Kumar, Yasser D. Al‐Otaibi, Usman Tariq and Shahid Mumtaz. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and Sustainability.
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.