A. Prasanth

1.5k total citations
36 papers, 840 citations indexed

About

A. Prasanth is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, A. Prasanth has authored 36 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 8 papers in Information Systems. Recurrent topics in A. Prasanth's work include Energy Efficient Wireless Sensor Networks (12 papers), IoT and Edge/Fog Computing (6 papers) and IoT-based Smart Home Systems (5 papers). A. Prasanth is often cited by papers focused on Energy Efficient Wireless Sensor Networks (12 papers), IoT and Edge/Fog Computing (6 papers) and IoT-based Smart Home Systems (5 papers). A. Prasanth collaborates with scholars based in India, Maldives and Sri Lanka. A. Prasanth's co-authors include S. Jayachitra, Sulaima Lebbe Abdul Haleem, Amin Salih Mohammed, S. Balasubramaniam, Safeeullah Soomro, Mardina Abdullah, Mahdi H. Miraz, K. Satheesh Kumar, Rajesh Kumar Dhanaraj and Radhika Subramanian and has published in prestigious journals such as Measurement, Biomedical Signal Processing and Control and International Journal of Intelligent Systems.

In The Last Decade

A. Prasanth

34 papers receiving 796 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. Prasanth India 15 370 209 206 122 107 36 840
Ghaida Muttashar Abdulsahib Iraq 16 466 1.3× 183 0.9× 247 1.2× 86 0.7× 211 2.0× 32 895
Sourav Kumar Bhoi India 20 670 1.8× 224 1.1× 482 2.3× 110 0.9× 239 2.2× 91 1.2k
Usha Devi Gandhi India 16 464 1.3× 339 1.6× 216 1.0× 98 0.8× 237 2.2× 44 1.1k
Reem Alkanhel Saudi Arabia 15 314 0.8× 206 1.0× 250 1.2× 74 0.6× 99 0.9× 71 833
Shakila Basheer Saudi Arabia 17 224 0.6× 224 1.1× 158 0.8× 104 0.9× 133 1.2× 81 839
Shahzad Ashraf China 19 211 0.6× 152 0.7× 284 1.4× 74 0.6× 88 0.8× 56 769
Kadiyala Ramana India 15 204 0.6× 187 0.9× 118 0.6× 91 0.7× 119 1.1× 48 665
Eman H. Alkhammash Saudi Arabia 18 201 0.5× 243 1.2× 169 0.8× 117 1.0× 80 0.7× 52 756
Fadwa Alrowais Saudi Arabia 15 206 0.6× 175 0.8× 198 1.0× 91 0.7× 66 0.6× 67 706
Sang‐Jo Yoo South Korea 17 770 2.1× 141 0.7× 471 2.3× 258 2.1× 73 0.7× 85 1.2k

Countries citing papers authored by A. Prasanth

Since Specialization
Citations

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

Fields of papers citing papers by A. Prasanth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Prasanth. A scholar is included among the top collaborators of A. Prasanth 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. Prasanth. A. Prasanth 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.
Radhika, S., et al.. (2025). A Reliable speech emotion recognition framework for multi-regional languages using optimized light gradient boosting machine classifier. Biomedical Signal Processing and Control. 105. 107636–107636. 2 indexed citations
2.
Prasanth, A., et al.. (2025). An energy-aware link fault detection and recovery scheme for QoS enhancement in Internet of Things-enabled wireless sensor network. Computers & Electrical Engineering. 123. 110092–110092. 9 indexed citations
3.
Kaur, Narinder, et al.. (2025). An Integrated Approach Based on Fuzzy Logic and Machine Learning Techniques for Reliable Wine Quality Prediction. Procedia Computer Science. 252. 613–622. 3 indexed citations
4.
Prasanth, A., et al.. (2024). A smart heart disease prediction system using iot and adaptive deep convolution neural network. AIP conference proceedings. 3040. 90005–90005. 6 indexed citations
5.
Prasanth, A., et al.. (2024). A novel approach for heart disease prediction using hybridized AITH 2 O algorithm and SANFIS classifier. Network Computation in Neural Systems. 36(1). 109–147. 8 indexed citations
6.
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8.
Prasanth, A., et al.. (2023). An artificial intelligence approach for energy‐aware intrusion detection and secure routing in internet of things‐enabled wireless sensor networks. Concurrency and Computation Practice and Experience. 35(23). 42 indexed citations
9.
Prasanth, A., et al.. (2023). A hybrid ANFIS reptile optimization algorithm for energy-efficient inter-cluster routing in internet of things-enabled wireless sensor networks. Peer-to-Peer Networking and Applications. 16(2). 1049–1068. 40 indexed citations
10.
Balasubramaniam, S., et al.. (2023). Optimization Enabled Deep Learning‐Based DDoS Attack Detection in Cloud Computing. International Journal of Intelligent Systems. 2023(1). 54 indexed citations
11.
Prasanth, A., et al.. (2023). A hybrid location‐dependent ultra convolutional neural network‐based vehicle number plate recognition approach for intelligent transportation systems. Concurrency and Computation Practice and Experience. 35(8). 30 indexed citations
12.
Prasanth, A., et al.. (2022). An energy‐efficient blockchain approach for secure communication in IoT‐enabled electric vehicles. International Journal of Communication Systems. 35(11). 24 indexed citations
13.
Hegde, Ramakrishna, et al.. (2022). Self-diagnosis platform via IOT-based privacy preserving medical data. Measurement Sensors. 25. 100636–100636. 13 indexed citations
14.
Prasanth, A., et al.. (2022). Multimedia Privacy, Security, and Protection within the Blockchain: A Review. 1171–1176. 2 indexed citations
15.
Prasanth, A., et al.. (2021). An efficient clinical support system for heart disease prediction using TANFIS classifier. Computational Intelligence. 38(2). 610–640. 84 indexed citations
16.
Jayachitra, S. & A. Prasanth. (2020). Multi-Feature Analysis for Automated Brain Stroke Classification Using Weighted Gaussian Naïve Bayes Classifier. Journal of Circuits Systems and Computers. 30(10). 2150178–2150178. 94 indexed citations
17.
Prasanth, A., et al.. (2019). Particle Swarm Optimization Algorithm Based Zone Head Selection In Wireless Sensor Networks. International journal of scientific and technology research. 8(9). 1594–1597. 8 indexed citations
18.
Prasanth, A., et al.. (2019). Zone-based sink mobility in wireless sensor networks. Sensor Review. 39(6). 874–880. 27 indexed citations
19.
Soomro, Safeeullah, Mahdi H. Miraz, A. Prasanth, & Mardina Abdullah. (2018). Artificial Intelligence Enabled IoT: Traffic Congestion Reduction in Smart Cities. 13 (6 pp.)–13 (6 pp.). 34 indexed citations
20.
Prasanth, A., et al.. (2012). Multi Agent Management System for Next Generation Mobile Networks. [MAMS for NGMN]. 1(7). 5 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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