M. Ganesan
- Cardiology and Cardiovascular Medicine
- Cognitive Neuroscience
- Biomedical Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- R LavanyaE.P. SumeshR. KarthikaM. Nirmala DeviB. KarthikeyanRajinder SinghS. GanesanR. Anitha
- Topics
- ECG Monitoring and Analysis (10 papers)Non-Invasive Vital Sign Monitoring (8 papers)EEG and Brain-Computer Interfaces (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCognitive NeuroscienceIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaTelecommunication SystemsInternational Journal of Engineering Systems Modelling and Simulation
In The Last Decade
M. Ganesan
27 papers receiving 265 citations
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 136
- Cognitive Neuroscience 87
- Biomedical Engineering 80
- Artificial Intelligence 39
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by M. Ganesan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 33 | |
| 11 | N-Semi Regular Graph-Based Fuzzy Semi-supervised Learning Approach for Fault Detection and Classification in Photovoltaic Arrays | 1 |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 23 | |
| 15 | 15 | |
| 16 | 59 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 39 |
About M. Ganesan
M. Ganesan is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Physiology, having authored 29 papers that have together received 284 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (10 papers), Non-Invasive Vital Sign Monitoring (8 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (136 citations), Cognitive Neuroscience (87 citations) and Industrial and Manufacturing Engineering (19 citations). M. Ganesan has collaborated with scholars based in India, Oman and Bulgaria. Frequent co-authors include R Lavanya, E.P. Sumesh, R. Karthika, M. Nirmala Devi, B. Karthikeyan, Rajinder Singh, S. Ganesan and R. Anitha. Their work appears in journals such as SHILAP Revista de lepidopterología, Telecommunication Systems and International Journal of Engineering Systems Modelling and Simulation.
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.