Manjunathan Alagarsamy

1.1k total citations
83 papers, 565 citations indexed

About

Manjunathan Alagarsamy is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Manjunathan Alagarsamy has authored 83 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Manjunathan Alagarsamy's work include IoT-based Smart Home Systems (8 papers), Smart Agriculture and AI (7 papers) and EEG and Brain-Computer Interfaces (7 papers). Manjunathan Alagarsamy is often cited by papers focused on IoT-based Smart Home Systems (8 papers), Smart Agriculture and AI (7 papers) and EEG and Brain-Computer Interfaces (7 papers). Manjunathan Alagarsamy collaborates with scholars based in India, Nepal and Canada. Manjunathan Alagarsamy's co-authors include S. Kannadhasan, M. Ramkumar, M Mathankumar, C. Ganesh Babu, K. Vinoth Kumar, Ayodeji Olalekan Salau, R. Sudarmani, S. Dhanasekaran, R. Nagarajan and A. Karthikeyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Microscopy Research and Technique.

In The Last Decade

Manjunathan Alagarsamy

65 papers receiving 489 citations

Peers

Manjunathan Alagarsamy

EEE

CNC

S Santosh Kumar India

T. K. Ramesh India

Sebastián Gutiérrez Mexico

Shiva Shankar India

Hasmah Mansor Malaysia

M. Rajesh India

Amit Kumar Mondal India

R. Nagarajan India

P. Nirmala India

Medhat Awadalla Egypt

S Santosh Kumar India

Manjunathan Alagarsamy

187 ×1.0

EEE

133 ×1.3

CNC

61 ×0.8

72 ×1.1

81 ×1.4

Citations per year, relative to Manjunathan Alagarsamy Manjunathan Alagarsamy (= 1×) peers S Santosh Kumar

Countries citing papers authored by Manjunathan Alagarsamy

Since Specialization

Citations

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

Fields of papers citing papers by Manjunathan Alagarsamy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manjunathan Alagarsamy

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

Mubarakali, Azath, et al.. (2025). Next-generation COVID-19 detection using a metasurface biosensor with machine learning-enhanced refractive index sensing. Scientific Reports. 15(1). 33406–33406. 3 indexed citations

Nandhakumar, N., et al.. (2024). Deep learning and machine learning classification technique for integrated forecasting. IAES International Journal of Artificial Intelligence. 13(2). 1519–1519.

Alagarsamy, Manjunathan, et al.. (2024). Security-based low-density parity check encoder for 5G communication. Bulletin of Electrical Engineering and Informatics. 13(4). 2707–2715. 1 indexed citations

Alagarsamy, Manjunathan, et al.. (2024). Frequency reconfigurable microstrip patch antenna for multiband applications. International Journal of Reconfigurable and Embedded Systems (IJRES). 13(2). 472–472. 1 indexed citations

Sabeenian, R. S., et al.. (2024). IoT-Based Data Logging System for Authenticated Bank Locker Access to Ensuring Security. 1–5.

Garg, Hitendra, et al.. (2024). Revolutionizing breast cancer diagnosis with a comprehensive approach using digital mammogram-based feature extraction and selection for early-stage identification. Biomedical Signal Processing and Control. 94. 106268–106268. 8 indexed citations

Alagarsamy, Manjunathan, et al.. (2023). Performance improvement of fuel cell and photovoltaic system. Bulletin of Electrical Engineering and Informatics. 13(1). 98–108.

S, Manoj Kumar, et al.. (2023). Noise Level Notifier. SHILAP Revista de lepidopterología. 399. 4011–4011. 1 indexed citations

Alagarsamy, Manjunathan, et al.. (2023). IoT based tracking cattle healthmonitoring system using wireless sensors. Bulletin of Electrical Engineering and Informatics. 12(5). 3086–3094. 8 indexed citations

10.

Alagarsamy, Manjunathan, et al.. (2023). Automation irrigation system using arduino for smart crop field productivity. International Journal of Reconfigurable and Embedded Systems (IJRES). 12(1). 70–70. 10 indexed citations

11.

Alagarsamy, Manjunathan, et al.. (2023). Development of electrocardiogram intelligent and wearable monitoring system-assisting in care. International Journal of Reconfigurable and Embedded Systems (IJRES). 12(1). 51–51. 1 indexed citations

12.

Sudarmani, R., et al.. (2023). SDSFLF: fault localization framework for optical communication using software digital switching network. International Journal of Reconfigurable and Embedded Systems (IJRES). 12(1). 113–113. 4 indexed citations

13.

Ramkumar, M., et al.. (2023). Deep convolutional neural network optimized with hybrid marine predator’s and nomadic people optimization for cardiac arrhythmia classification using ECG signals. Biomedical Signal Processing and Control. 86. 105157–105157. 9 indexed citations

14.

Alagarsamy, Manjunathan, et al.. (2023). An effective gossip routing based wireless sensor network framework for forest fire detection. International Journal of Reconfigurable and Embedded Systems (IJRES). 12(3). 392–392. 1 indexed citations

15.

Alagarsamy, Manjunathan, et al.. (2022). Performing the classification of pulsation cardiac beats automatically by using CNN with various dimensions of kernels. International Journal of Reconfigurable and Embedded Systems (IJRES). 11(3). 249–249. 2 indexed citations

16.

Mathankumar, M, et al.. (2022). Certificateless linkable ring signature‐based blockchains for securing cognitive radio networks. Concurrency and Computation Practice and Experience. 34(24). 5 indexed citations

17.

Usha, S., R. Palanisamy, T. M. Thamizh Thentral, et al.. (2021). A simplified methodology for mitigating the harmonics and common-mode voltage using multi-level inverters for renewable energy applications. Energy Sources Part A Recovery Utilization and Environmental Effects. 45(4). 10449–10471. 5 indexed citations

18.

Alagarsamy, Manjunathan, et al.. (2021). Image Processing Based Classification of Energy Sources in Eatables Using Artificial Intelligence. Annals of the Romanian Society for Cell Biology. 7401–7407. 7 indexed citations

19.

Babu, C. Ganesh, et al.. (2021). Determination of Cardiac Output based on Minimally Invasive Impedance Plethysmography in Various Healthy Subjects. 12(3). 1078–1086. 4 indexed citations

20.

Dineshkumar, R., et al.. (2021). Genomics FANET Recruiting Protocol in Crop Yield Areas UAV. Annals of the Romanian Society for Cell Biology. 1515–1522. 4 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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