A. Rajaram

2.4k total citations
71 papers, 885 citations indexed

About

A. Rajaram is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, A. Rajaram has authored 71 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 29 papers in Electrical and Electronic Engineering and 10 papers in Artificial Intelligence. Recurrent topics in A. Rajaram's work include Mobile Ad Hoc Networks (21 papers), Security in Wireless Sensor Networks (10 papers) and Opportunistic and Delay-Tolerant Networks (10 papers). A. Rajaram is often cited by papers focused on Mobile Ad Hoc Networks (21 papers), Security in Wireless Sensor Networks (10 papers) and Opportunistic and Delay-Tolerant Networks (10 papers). A. Rajaram collaborates with scholars based in India, Saudi Arabia and United States. A. Rajaram's co-authors include S. Kannan, A. Karthik, Rajarshi Mahapatra, Jiang Hu, Janjhyam Venkata Naga Ramesh, Alazar Yeshitla, P. Ashok Babu, R.P. Rastogi, Pravin R. Kshirsagar and Sanjay Kumar Suman and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Biomedical Signal Processing and Control.

In The Last Decade

A. Rajaram

66 papers receiving 801 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Rajaram India 19 355 255 143 95 87 71 885
Mohamad Khairi Ishak Malaysia 13 214 0.6× 148 0.6× 136 1.0× 146 1.5× 67 0.8× 119 693
Fawaz Alassery Saudi Arabia 14 262 0.7× 222 0.9× 174 1.2× 77 0.8× 141 1.6× 50 809
Reem Alkanhel Saudi Arabia 15 250 0.7× 314 1.2× 206 1.4× 92 1.0× 99 1.1× 71 833
Fadwa Alrowais Saudi Arabia 15 198 0.6× 206 0.8× 175 1.2× 66 0.7× 66 0.8× 67 706
P. Ganeshkumar India 19 155 0.4× 355 1.4× 273 1.9× 63 0.7× 152 1.7× 80 1.1k
Meshal Alharbi Saudi Arabia 17 126 0.4× 110 0.4× 186 1.3× 61 0.6× 67 0.8× 70 711
Ahmad O. Aseeri Saudi Arabia 17 242 0.7× 80 0.3× 250 1.7× 41 0.4× 86 1.0× 50 741
Omar Bouattane Morocco 18 153 0.4× 141 0.6× 342 2.4× 112 1.2× 123 1.4× 153 1.1k
Shakila Basheer Saudi Arabia 17 158 0.4× 224 0.9× 224 1.6× 50 0.5× 133 1.5× 81 839
Mostofa Kamal Nasir Bangladesh 13 166 0.5× 376 1.5× 191 1.3× 57 0.6× 243 2.8× 33 965

Countries citing papers authored by A. Rajaram

Since Specialization
Citations

This map shows the geographic impact of A. Rajaram'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 A. Rajaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Rajaram more than expected).

Fields of papers citing papers by A. Rajaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Rajaram. 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 A. Rajaram. The network helps show where A. Rajaram may publish in the future.

Co-authorship network of co-authors of A. Rajaram

This figure shows the co-authorship network connecting the top 25 collaborators of A. Rajaram. A scholar is included among the top collaborators of A. Rajaram 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 A. Rajaram. A. Rajaram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rathore, Sunil, et al.. (2025). Single-Cell Photothermal Ablation Using Wavelength-Matched Hollow Gold Nanostars with Adaptive Feedback Control. Plasmonics. 21(1). 945–958. 2 indexed citations
2.
3.
Sreenivasulu, G., et al.. (2025). Smart solar power Conversion: Leveraging Deep learning MPPT and hybrid cascaded h-bridge multilevel inverters for optimal efficiency. Biomedical Signal Processing and Control. 105. 107582–107582. 7 indexed citations
4.
Ebad, Shouki A., Ali Alqazzaz, Radwa Marzouk, et al.. (2025). Deep learning based automatic crack detection for concrete structures using piezoelectric smart aggregates. Mechanics of Advanced Materials and Structures. 1–11. 2 indexed citations
5.
Rajaram, A., et al.. (2025). Dynamic Attention-Augmented Neural Network for Accurate and Efficient Brain Tumor Classification and Segmentation Using MRI. International Journal of Pattern Recognition and Artificial Intelligence. 39(10). 2 indexed citations
6.
7.
Karthik, A., et al.. (2024). Unified approach for accurate brain tumor Multi-Classification and segmentation through fusion of advanced methodologies. Biomedical Signal Processing and Control. 100. 106872–106872. 19 indexed citations
8.
Rajaram, A., et al.. (2024). Revolutionizing vascular health through the temporal convolutional transformer for drug screening and model evolution. Biomedical Signal Processing and Control. 95. 106390–106390. 20 indexed citations
9.
Rajaram, A., et al.. (2024). Hybrid Secure Cluster-Based Routing Algorithm for Enhanced Security and Efficiency in Mobile Ad Hoc Networks. Applied Artificial Intelligence. 38(1). 1 indexed citations
10.
Rajaram, A., et al.. (2024). Distributed clustering model for energy efficiency based topology control using game theory in wireless sensor networks. Sustainable Computing Informatics and Systems. 44. 101015–101015. 4 indexed citations
11.
Rajaram, A., et al.. (2024). Transformation with Yolo Tiny Network Architecture for Multimodal Fusion in Lung Disease Classification. Cybernetics & Systems. 1–22. 20 indexed citations
12.
Syamala, Maganti, et al.. (2024). Evaluating Generative Adversarial Networks for Virtual Contrast-Enhanced Kidney Segmentation using Res-UNet in Non-Contrast CT Images . Multimedia Tools and Applications. 84(18). 20121–20144. 9 indexed citations
13.
Anusuya, M. A., et al.. (2024). DRL-BASED KINETIC AND THERMAL ENERGY PROPERTY DETECTION FOR WELDED JOINT PERFORMANCE ANALYSIS. Surface Review and Letters.
14.
Sivaraman, P., et al.. (2024). Optimising rooftop photovoltaic adoption in urban landscapes: A system dynamics approach for sustainable energy transitions. Biomedical Signal Processing and Control. 100. 107071–107071. 2 indexed citations
15.
Dhal, P.K., K. V. Daya Sagar, P. S. Ranjit, et al.. (2024). DeepFore: A Deep Reinforcement Learning Approach for Power Forecasting in Renewable Energy Systems. Electric Power Components and Systems. 1–17. 23 indexed citations
16.
Karthik, A., et al.. (2024). Improving brain tumor treatment with better imaging and real-time therapy using quantum dots. Biomedical Signal Processing and Control. 95. 106286–106286. 19 indexed citations
17.
Rajaram, A., et al.. (2023). Dynamic link utilization empowered by reinforcement learning for adaptive storage allocation in MANET. Soft Computing. 28(6). 5275–5285. 13 indexed citations
18.
Rajaram, A., et al.. (2020). Enhanced data accuracy based PATH discovery using backing route selection algorithm in MANET. Peer-to-Peer Networking and Applications. 13(6). 2089–2098. 34 indexed citations
19.
Rajaram, A., et al.. (2013). Design and analysis of high speed shift register using Single clock pulse method. 1–4. 9 indexed citations
20.
Rajaram, A., et al.. (2012). An Enhanced Distributed Certificate Authority Scheme for Authentication in Mobile Ad-hoc Networks. The International Arab Journal of Information Technology. 9. 291–298. 33 indexed citations

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.

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