M. Suchetha
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare 7
- Ophthalmology top 5%
- Retinal Diseases and Treatments 6
- Health Informatics top 10%
-
- Retinal Imaging and Analysis 12
-
- Image and Signal Denoising Methods 8
-
- ECG Monitoring and Analysis 23
-
- Blind Source Separation Techniques 10
-
- Non-Invasive Vital Sign Monitoring 10
- Advanced Chemical Sensor Technologies 8
- Co-authors
- N. KumaravelRajiv RamanNada PhilipD. D. EbenezerRamachandran RajalakshmiM. JagannathSaravana Kumar JaganathanR. G. Sangeetha
- Journals
- IEEE Sensors Journal (6 papers)Biomedical Signal Processing and Control (6 papers)IEEE Access (4 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
M. Suchetha
64 papers receiving 919 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Health Information Management 215
- Ophthalmology 111
- Health Informatics 16
- Radiology, Nuclear Medicine and Imaging 255
- Computer Vision and Pattern Recognition 172
Countries citing papers authored by M. Suchetha
This map shows the geographic impact of M. Suchetha'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. Suchetha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Suchetha more than expected).
Fields of papers citing papers by M. Suchetha
This network shows the impact of papers produced by M. Suchetha. 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. Suchetha. The network helps show where M. Suchetha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Suchetha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 17 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 0 | |
| 15 | 2020 | 7 | |
| 16 | 2019 | 57 | |
| 17 | 2014 | 2 | |
| 18 | 2013 | 4 | |
| 19 | Energy and Structural Features Based Neural Network Classifier For Glaucomatous Image Classification | 2013 | 1 |
| 20 | 2007 | 2 |
About M. Suchetha
M. Suchetha is a scholar working on Health Information Management, Health Informatics and Signal Processing, having authored 74 papers that have together received 977 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (23 papers), Retinal Imaging and Analysis (12 papers), Blind Source Separation Techniques (10 papers), Non-Invasive Vital Sign Monitoring (10 papers), Image and Signal Denoising Methods (8 papers), Advanced Chemical Sensor Technologies (8 papers), Artificial Intelligence in Healthcare (7 papers) and Retinal Diseases and Treatments (6 papers). The work is most often cited by research in Health Information Management (215 citations), Ophthalmology (111 citations) and Health Informatics (16 citations). M. Suchetha has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include N. Kumaravel, Rajiv Raman, Nada Philip, D. D. Ebenezer, Ramachandran Rajalakshmi, M. Jagannath, Saravana Kumar Jaganathan, R. G. Sangeetha, P. T. Vanathi and S. Gayathri. Their work appears in journals such as IEEE Sensors Journal, Biomedical Signal Processing and Control, IEEE Access, IEEE Journal of Biomedical and Health Informatics and Clinical ophthalmology.
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.