P. Kuppusamy

781 total citations
53 papers, 402 citations indexed

About

P. Kuppusamy is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, P. Kuppusamy has authored 53 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 16 papers in Computer Vision and Pattern Recognition and 11 papers in Electrical and Electronic Engineering. Recurrent topics in P. Kuppusamy's work include Mobile Ad Hoc Networks (8 papers), IoT and Edge/Fog Computing (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). P. Kuppusamy is often cited by papers focused on Mobile Ad Hoc Networks (8 papers), IoT and Edge/Fog Computing (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). P. Kuppusamy collaborates with scholars based in India, United Kingdom and Nepal. P. Kuppusamy's co-authors include Y. C. A. Padmanabha Reddy, Che‐Lun Hung, Santhosh Kumar Medishetti, C. Srinivasan, Ganesh Reddy Karri, Celestine Iwendi, I. S. Amiri, P. Jayarajan, P.P. Yupapin and Ahmed Nabih Zaki Rashed and has published in prestigious journals such as IEEE Access, Biomedical Signal Processing and Control and Ain Shams Engineering Journal.

In The Last Decade

P. Kuppusamy

42 papers receiving 366 citations

Peers

P. Kuppusamy

CNC

EEE

IS

CVPR

AI

A. Sivasangari India

P. Ajitha India

F. John Dian Canada

Metin Öztürk United Kingdom

Velmurugan Subbiah Parvathy India

Shibli Nisar Pakistan

Yun Miao United States

Duo Lu United States

R. Arshath Raja India

A. Sivasangari India

P. Kuppusamy

93 ×0.6

CNC

73 ×0.7

EEE

48 ×0.9

IS

48 ×0.9

CVPR

58 ×1.2

AI

Citations per year, relative to P. Kuppusamy P. Kuppusamy (= 1×) peers A. Sivasangari

Countries citing papers authored by P. Kuppusamy

Since Specialization

Citations

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

Fields of papers citing papers by P. Kuppusamy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Kuppusamy

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

All Works

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20 of 20 papers shown

1.

Kuppusamy, P., et al.. (2025). Probabilistic luminance estimation and optimized gamma correction for Wireless capsule endoscopy. Biomedical Signal Processing and Control. 104. 107558–107558.

2.

Kuppusamy, P., et al.. (2025). HAMF: A Novel Hierarchical Attention-Based Multi-Modal Fusion Model for Parkinson’s Disease Classification and Severity Prediction. IEEE Access. 13. 81252–81278. 3 indexed citations

3.

Kuppusamy, P., et al.. (2024). Differentiating Parkinson's Disease from other Neuro Diseases and Diagnosis using Deep Learning with Nature Inspired Algorithms and Ensemble Learning. Procedia Computer Science. 235. 588–597.

4.

Kuppusamy, P., Sami Dhahbi, Celestine Iwendi, et al.. (2024). EL-RFHC: Optimized ensemble learners using RFHC for intrusion attacks classification. Ain Shams Engineering Journal. 15(7). 102807–102807.

5.

Kuppusamy, P., et al.. (2024). A QUALITATIVE AND QUANTITATIVE APPROACH USING MACHINE LEARNING AND NON-MOTOR SYMPTOMS FOR PARKINSON’S DISEASE CLASSIFICATION. A HIERARCHICAL STUDY. Applied Computer Science. 20(3). 171–191. 1 indexed citations

6.

Kuppusamy, P., et al.. (2024). Optimized Deep Convolutional Neural Network for Autism Spectrum Disorder Detection Using Structural MRI and DTPSO. IEEE Access. 12. 110035–110051. 6 indexed citations

7.

Medishetti, Santhosh Kumar, et al.. (2024). GEWO: An Efficient Prioritised Task Scheduling in Cloud Fog Computing Environment. 1–8. 10 indexed citations

8.

Kuppusamy, P., et al.. (2024). CNNAH: Modified CNN to Arrhythmia Heatbeat Classification using ECG signals. 1–8.

9.

Kuppusamy, P., et al.. (2023). Traffic Sign Recognition for Autonomous Vehicle Using Optimized YOLOv7 and Convolutional Block Attention Module. Computers, materials & continua/Computers, materials & continua (Print). 77(1). 445–466. 6 indexed citations

10.

Kuppusamy, P., et al.. (2023). Design implementation of smart fish pond monitoring system using IoT. AIP conference proceedings. 2613. 20015–20015. 1 indexed citations

11.

Kuppusamy, P., et al.. (2023). Real-time scanning and tracking of health records through a centralized ecosystem based on Internet of Things and fog computing. 1–8. 1 indexed citations

12.

Vinod, P. K., et al.. (2023). Enhancing Brain Tumor Segmentation using U-Net and Attention Mechanism. 12962. 1314–1321. 1 indexed citations

13.

Kuppusamy, P., et al.. (2023). Development of highly conductive hybrid Ni‐biocarbon‐ based polyvinyl alcohol composites for microwave shielding properties. Journal of Vinyl and Additive Technology. 29(3). 427–434. 8 indexed citations

14.

Kuppusamy, P., et al.. (2022). Survey of Parkinson's Disease Detection using Different Symptoms. 13. 77–82.

15.

Gopi, B., et al.. (2020). Intelligent Vehicle Weight Monitoring and Overload Detection Using ML Algorithms. 4(1). 18–22.

16.

Kuppusamy, P., et al.. (2020). Secured Identity Based Cryptosystem Approach for Intelligent Routing Protocol in VANET. Scalable Computing Practice and Experience. 21(1). 41–46. 1 indexed citations

17.

Kuppusamy, P., et al.. (2016). Survey and challenges of Li-Fi with comparison of Wi-Fi. 896–899. 21 indexed citations

18.

Kuppusamy, P., et al.. (2014). OPTIMAL DATA REPLACEMENT TECHNIQUE FOR COOPERATIVE CACHING IN MANET. ICTACT Journal on Communication Technology. 5(3). 995–999.

19.

Kuppusamy, P., et al.. (2012). Cluster based cooperative caching approach through mobility prophecy in MANET. 7. 1–5. 5 indexed citations

20.

Kuppusamy, P., et al.. (2011). Review of Cooperative Caching Strategies in Mobile Ad Hoc Networks. 3(14). 980–984.

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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