M. Ganesan

459 total citations
29 papers, 284 citations indexed

About

M. Ganesan is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, M. Ganesan has authored 29 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 9 papers in Biomedical Engineering and 8 papers in Cognitive Neuroscience. Recurrent topics in M. Ganesan's work include ECG Monitoring and Analysis (10 papers), Non-Invasive Vital Sign Monitoring (8 papers) and EEG and Brain-Computer Interfaces (8 papers). M. Ganesan is often cited by papers focused on ECG Monitoring and Analysis (10 papers), Non-Invasive Vital Sign Monitoring (8 papers) and EEG and Brain-Computer Interfaces (8 papers). M. Ganesan collaborates with scholars based in India, Oman and Bulgaria. M. Ganesan's co-authors include R Lavanya, E.P. Sumesh, R. Karthika, M. Nirmala Devi, B. Karthikeyan, Rajinder Singh, S. Ganesan and R. Anitha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Telecommunication Systems and International Journal of Engineering Systems Modelling and Simulation.

In The Last Decade

M. Ganesan

27 papers receiving 265 citations

Peers

M. Ganesan
M. Ganesan
Citations per year, relative to M. Ganesan M. Ganesan (= 1×) peers Arnab Bhattacharjee

Countries citing papers authored by M. Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by M. Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ganesan

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ganesan. A scholar is included among the top collaborators of M. Ganesan 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 M. Ganesan. M. Ganesan 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.
Ganesan, M., et al.. (2025). A Context-Aware Content Recommendation Engine for Personalized Learning using Hybrid Reinforcement Learning Technique. International Journal of Computational and Experimental Science and Engineering. 11(1). 2 indexed citations
2.
Ganesan, M., et al.. (2025). Depth and Dimension Estimation Using Computer Vision. 1–7.
3.
Ganesan, M., et al.. (2024). An Omni-Directional Self driving Robot for Indoor Surveillance. 1–6. 1 indexed citations
4.
Ganesan, S., et al.. (2024). Development of FTIR spectral library for the identification of Asian elephant ivory: an innovative approach in wildlife forensics. SHILAP Revista de lepidopterología. 6(11). 2 indexed citations
5.
Ganesan, M. & R Lavanya. (2023). Simultaneous fault detection in satellite power systems using deep autoencoders and classifier chain. Telecommunication Systems. 83(1). 1–15. 3 indexed citations
7.
Ganesan, M., et al.. (2022). Realization of SLAM and Object Detection using Ultrasonic Sensor and RGB-HD Camera. 167–171. 5 indexed citations
8.
Ganesan, M. & R Lavanya. (2021). A deep learning approach to fault detection in a satellite power system using Gramian angular field. International Journal of Engineering Systems Modelling and Simulation. 12(2/3). 195–195. 4 indexed citations
10.
Karthika, R., et al.. (2020). Deep Learning based Smart Garbage Classifier for Effective Waste Management. 1086–1089. 33 indexed citations
11.
Anitha, R., et al.. (2020). N-Semi Regular Graph-Based Fuzzy Semi-supervised Learning Approach for Fault Detection and Classification in Photovoltaic Arrays. SSRN Electronic Journal. 1 indexed citations
12.
Ganesan, M., et al.. (2020). Plant Signal Extraction and Analysis with the influence of Sound Waves. 542–547. 4 indexed citations
13.
Ganesan, M., et al.. (2020). Brain on a-board implementation of Neural Networks. 916–919. 1 indexed citations
14.
Karthika, R., et al.. (2020). Evaluating Performance of Deep Learning Architectures for Image Classification. 917–922. 23 indexed citations
15.
Ganesan, M., R Lavanya, & M. Nirmala Devi. (2020). Fault detection in satellite power system using convolutional neural network. Telecommunication Systems. 76(4). 505–511. 15 indexed citations
16.
Ganesan, M., et al.. (2019). Arrhythmia classification on ECG using Deep Learning. 365–369. 59 indexed citations
17.
Ganesan, M., et al.. (2017). R peak detection and feature extraction for the diagnosis of heart diseases. 2388–2391. 16 indexed citations
18.
Ganesan, M., R Lavanya, & E.P. Sumesh. (2017). A survey on ballistocardiogram to study the mechanical activity of heart. 2. 557–561. 1 indexed citations
19.
Ganesan, M. & E.P. Sumesh. (2016). Evaluating the force of contraction of heart using ballistocardiogram. 1–5. 6 indexed citations
20.
Ganesan, M., et al.. (2016). A survey on modern trends in ECG noise removal techniques. 1–7. 39 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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