P. Prakasam

1.1k total citations
79 papers, 703 citations indexed

About

P. Prakasam is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, P. Prakasam has authored 79 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 28 papers in Computer Networks and Communications and 18 papers in Artificial Intelligence. Recurrent topics in P. Prakasam's work include Energy Efficient Wireless Sensor Networks (13 papers), IoT and Edge/Fog Computing (9 papers) and IoT-based Smart Home Systems (9 papers). P. Prakasam is often cited by papers focused on Energy Efficient Wireless Sensor Networks (13 papers), IoT and Edge/Fog Computing (9 papers) and IoT-based Smart Home Systems (9 papers). P. Prakasam collaborates with scholars based in India, Malaysia and Singapore. P. Prakasam's co-authors include M. Madheswaran, S. Jegannathan, K.I. Vasu, Atul Kumar Dwivedi, Md Shohel Sayeed, N. Kalaiselvi, N. Muniyandi, T. Prem Kumar, N.G. Renganathan and M. Raghavan and has published in prestigious journals such as Journal of Power Sources, Scientific Reports and Applied Sciences.

In The Last Decade

P. Prakasam

71 papers receiving 650 citations

Peers

Countries citing papers authored by P. Prakasam

Since Specialization

Citations

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

Fields of papers citing papers by P. Prakasam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of P. Prakasam. A scholar is included among the top collaborators of P. Prakasam 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. Prakasam. P. Prakasam 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

#	Title	Journal	Authors	Indexed citations
1	Convolutional block attention gate-based Unet framework for microaneurysm segmentation using retinal fundus images	BMC Medical Imaging	P. Prakasam et al.	1
2	Intracranial hemorrhage segmentation and classification framework in computer tomography images using deep learning techniques	Scientific Reports	P. Prakasam et al.	0
3	Deep Learning-based Text News Classification using Bi-directional LSTM Model		P. Prakasam et al.	0
4	Spatial attention-based CSR-Unet framework for subdural and epidural hemorrhage segmentation and classification using CT images	BMC Medical Imaging	P. Prakasam et al.	1
5	TwI-FTM: Two-way IoT-FoG trust management scheme for task offloading in IoT-FoG networks	Results in Engineering	P. Prakasam et al.	8
6	A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques	Progress in Biophysics and Molecular Biology	P. Prakasam et al.	16
7	Elliptic curve cryptography based key management and flexible authentication scheme for 5G wireless networks	Multimedia Tools and Applications	P. Prakasam et al.	9
8	Speech emotion recognition and classification using hybrid deep CNN and BiLSTM model	Multimedia Tools and Applications	P. Prakasam et al.	10
9	Fused empirical mode decomposition with spectral flatness and adaptive filtering technique for denoising of ECG signals	Analog Integrated Circuits and Signal Processing	P. Prakasam et al.	2
10	Optimal Energy-efficient Resource Allocation and Fault Tolerance scheme for task offloading in IoT-FoG Computing Networks	Computer Networks	P. Prakasam et al.	31
11	Support Vector Machine based spectrum handoff scheme for seamless handover in Cognitive Radio Networks	Concurrency and Computation Practice and Experience	P. Prakasam et al.	2
12	An Enhanced Energy Efficient Lightweight Cryptography Method for various IoT devices	ICT Express	P. Prakasam, M. Madheswaran et al.	21
13	Hybrid Mobile Ad-Hoc Delay Tolerant Network for Optimum Routing in Wireless Sensor Networks	International Journal of Innovative Technology and Exploring Engineering	P. Prakasam et al.	3
14	Smart Garbage Monitoring and Navigation System using IoT	International Journal of Innovative Technology and Exploring Engineering	P. Prakasam et al.	4
15	Optimized lowest ID in wireless sensor network using Invasive Weed Optimization (IWO)-genetic algorithm (GA)		P. Prakasam et al.	4
16	Localized Coverage Connectivity Based on Shape and Area Using Mobile Sensor Robots in Wireless Sensor Networks	Circuits and Systems	P. Prakasam et al.	1
17	Tibia Fracture Healing Prediction Using Adaptive Neuro Fuzzy Inference System	Intelligent Automation & Soft Computing	P. Prakasam et al.	4
18	Model identification of non linear systems using soft computing technique		P. Prakasam, Pallav Sarma et al.	2
19	Adaptive algorithm for speech Compression using Cosine Packet Transform		P. Prakasam, M. Madheswaran	1
20	Electrochemical behaviour of LiM y Mn2−y O4 (M = Cu, Cr; 0 ≤y ≤ 0.4)	Bulletin of Materials Science	R. Thirunakaran, B. Ramesh Babu et al.	26

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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