M. Ganesan

459 citations
29 papers · 284 indexed · h-index 10

M. Ganesan

27 papers receiving 265 citations

Peers

M. Ganesan
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 136
  • Cognitive Neuroscience 87
  • Industrial and Manufacturing Engineering 19
  • Biomedical Engineering 80
  • Computer Vision and Pattern Recognition 35
Replace Arnab Bhattacharjee with:
Arnab Bhattacharjee Bangladesh
S. B. Deosarkar India
Abdolrahman Peimankar New Zealand
M. Ramkumar India
Md Shofiqul Islam Bangladesh
M. Z. H. Noor Malaysia
Zeeshan Ahmad Canada
Pengwei Xie China
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M. Ganesan relative to Arnab Bhattacharjee Bangladesh Arnab Bhattacharjee's profile →
Citations per field
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Citations per year

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

The 8 scholars most cited alongside M. Ganesan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Ganesan Line = papers co-authored together M. Ganesan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20241
4 20242
5 20233
6 20230
7 20225
8 20214
9 20218
10 202033
11
N-Semi Regular Graph-Based Fuzzy Semi-supervised Learning Approach for Fault Detection and Classification in Photovoltaic Arrays
20201
12 20204
13 20201
14 202023
15 202015
16 201959
17 201716
18 20171
19 20166
20 201639

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), EEG and Brain-Computer Interfaces (8 papers), Machine Fault Diagnosis Techniques (4 papers), Fault Detection and Control Systems (3 papers), Phonocardiography and Auscultation Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Heart Rate Variability and Autonomic Control (3 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 Telecommunication Systems, International Journal of Engineering Systems Modelling and Simulation, Journal of Advanced Research in Dynamical and Control Systems, SHILAP Revista de lepidopterología and SSRN Electronic Journal.

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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