Rajesh Arunachalam
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Oncology
- Co-authors
- Shabana UroojSalem AlelyaniGurram SunithaA. Lay-EkuakilleSengathir JanakiramanWattana ViriyasitavatD. HemanandS. Vimal
- Topics
- Energy Efficient Wireless Sensor Networks (7 papers)Energy Harvesting in Wireless Networks (4 papers)Metaheuristic Optimization Algorithms Research (3 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- IndiaSaudi ArabiaEgypt
In The Last Decade
Rajesh Arunachalam
18 papers receiving 206 citations
Peers
Comparison fields: 5 of 73
- Computer Networks and Communications 93
- Electrical and Electronic Engineering 71
- Artificial Intelligence 47
- Computer Vision and Pattern Recognition 28
- Oncology 17
Countries citing papers authored by Rajesh Arunachalam
This map shows the geographic impact of Rajesh Arunachalam'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 Rajesh Arunachalam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh Arunachalam more than expected).
Fields of papers citing papers by Rajesh Arunachalam
This network shows the impact of papers produced by Rajesh Arunachalam. 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 Rajesh Arunachalam. The network helps show where Rajesh Arunachalam may publish in the future.
Co-authorship network of co-authors of Rajesh Arunachalam
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Arunachalam. A scholar is included among the top collaborators of Rajesh Arunachalam 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 Rajesh Arunachalam. Rajesh Arunachalam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 46 | |
| 10 | 11 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 23 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 23 | |
| 19 | 33 | |
| 20 | Three-Dimensional Localization in Anisotropic Wireless Sensor Networks Using Fuzzy Logic System. | 5 |
About Rajesh Arunachalam
Rajesh Arunachalam is a scholar working on Computer Networks and Communications, Health Information Management and Electrical and Electronic Engineering, having authored 24 papers that have together received 234 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (7 papers), Energy Harvesting in Wireless Networks (4 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Computer Networks and Communications (93 citations), Artificial Intelligence (47 citations) and Computer Vision and Pattern Recognition (28 citations). Rajesh Arunachalam has collaborated with scholars based in India, Saudi Arabia and Egypt. Frequent co-authors include Shabana Urooj, Salem Alelyani, Gurram Sunitha, A. Lay-Ekuakille, Sengathir Janakiraman, Wattana Viriyasitavat, D. Hemanand, S. Vimal, Gaurav Dhiman and S. Gopalakrishnan. Their work appears in journals such as Scientific Reports, Measurement and Computers & Security.
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.