M. Suchetha

1.5k total citations · 1 hit paper
74 papers, 977 citations indexed

About

M. Suchetha is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Suchetha has authored 74 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 23 papers in Biomedical Engineering and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Suchetha's work include ECG Monitoring and Analysis (23 papers), Retinal Imaging and Analysis (12 papers) and Blind Source Separation Techniques (10 papers). M. Suchetha is often cited by papers focused on ECG Monitoring and Analysis (23 papers), Retinal Imaging and Analysis (12 papers) and Blind Source Separation Techniques (10 papers). M. Suchetha collaborates with scholars based in India, United States and United Kingdom. M. Suchetha's 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 and has published in prestigious journals such as IEEE Access, Applied Soft Computing and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

M. Suchetha

64 papers receiving 919 citations

Hit Papers

Deep learning architecture based on segmented fundus imag... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy
    2021 161 citations M. Suchetha, Rajiv Raman et al. Biomedical Signal Processing and Control profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Suchetha India 16 255 251 215 184 172 74 977
Shivajirao M. Jadhav India 15 388 1.5× 173 0.7× 155 0.7× 242 1.3× 240 1.4× 25 1.2k
Usman Akram Pakistan 14 192 0.8× 138 0.5× 42 0.2× 131 0.7× 156 0.9× 47 653
C.M. Lim Singapore 18 501 2.0× 184 0.7× 114 0.5× 425 2.3× 285 1.7× 55 1.7k
Kuang Chua Chua Singapore 17 653 2.6× 208 0.8× 87 0.4× 462 2.5× 368 2.1× 31 1.6k
P. Subbanna Bhat India 14 498 2.0× 148 0.6× 69 0.3× 297 1.6× 530 3.1× 24 1.2k
Lim Choo Min Singapore 19 595 2.3× 366 1.5× 85 0.4× 728 4.0× 535 3.1× 44 2.0k
Javad Haddadnia Iran 21 219 0.9× 68 0.3× 31 0.1× 75 0.4× 601 3.5× 126 1.4k
Tripti Goel India 20 469 1.8× 62 0.2× 109 0.5× 24 0.1× 348 2.0× 79 1.1k
Shamik Tiwari India 18 189 0.7× 61 0.2× 77 0.4× 37 0.2× 315 1.8× 74 975
G. Swapna India 13 200 0.8× 178 0.7× 234 1.1× 453 2.5× 99 0.6× 16 1.5k

Countries citing papers authored by M. Suchetha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of M. Suchetha

This figure shows the co-authorship network connecting the top 25 collaborators of M. Suchetha. A scholar is included among the top collaborators of M. Suchetha 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. Suchetha. M. Suchetha 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
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Suchetha, M., et al.. (2024). Weight optimized fixed and variable step-size adaptive filters for fetal ECG extraction. Biomedical Signal Processing and Control. 98. 106733–106733.
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Suchetha, M., et al.. (2024). The Utility of ChatGPT in Diabetic Retinopathy Risk Assessment: A Comparative Study with Clinical Diagnosis [Response to Letter]. Clinical ophthalmology. Volume 18. 313–314. 2 indexed citations
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Suchetha, M., et al.. (2023). The Utility of ChatGPT in Diabetic Retinopathy Risk Assessment: A Comparative Study with Clinical Diagnosis. Clinical ophthalmology. Volume 17. 4021–4031. 14 indexed citations
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Suchetha, M., et al.. (2023). An insight on recent advancements and future perspectives in detection techniques of Parkinson’s disease. Evolutionary Intelligence. 17(3). 1715–1731. 2 indexed citations
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Suchetha, M., et al.. (2023). A 1-D CNN-FCM model for the classification of epileptic seizure disorders. Neural Computing and Applications. 35(24). 17871–17881. 7 indexed citations
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Suchetha, M., et al.. (2023). Comparative performance of deep learning architectures in classification of diabetic retinopathy. International Journal of Ad Hoc and Ubiquitous Computing. 44(1). 23–35. 1 indexed citations
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Antony, Joseph & M. Suchetha. (2023). Surrounding Vehicle Motion Prediction in Non-Lane-Based Environments for ADAS Enhancement. IEEE Access. 11. 120805–120815.
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Suchetha, M., et al.. (2022). Extraction of Fetal ECG From Abdominal and Thorax ECG Using a Non-Causal Adaptive Filter Architecture. IEEE Transactions on Biomedical Circuits and Systems. 16(5). 981–990. 17 indexed citations
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Suchetha, M., et al.. (2022). Despeckling of SAR Images Using BEMD-Based Adaptive Frost Filter. Journal of the Indian Society of Remote Sensing. 51(9). 1879–1890. 7 indexed citations
14.
Pattanaik, Balachandra, et al.. (2021). Prediction of the Speed and Wind Direction Using Machine Learning. Journal of Physics Conference Series. 1964(4). 42064–42064.
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Suchetha, M., et al.. (2020). A 1-D Deformable Convolutional Neural Network for the Quantitative Analysis of Capnographic Sensor. IEEE Sensors Journal. 21(5). 6672–6678. 7 indexed citations
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Suchetha, M., et al.. (2019). PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications. Computers in Biology and Medicine. 108. 85–92. 57 indexed citations
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Suchetha, M., et al.. (2014). LMMSE Channel Estimation Algorithm Based on Channel Autocorrelation Minimization for LTE-Advanced with Adaptive Guard Interval. Wireless Personal Communications. 81(3). 1233–1241. 2 indexed citations
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Suchetha, M., et al.. (2013). Denoising and arrhythmia classification using EMD based features and neural network. 883–887. 4 indexed citations
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Suchetha, M., et al.. (2013). Energy and Structural Features Based Neural Network Classifier For Glaucomatous Image Classification. 2(4). 1 indexed citations
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Suchetha, M., et al.. (2007). Compliance with the published RCOG guidelines in women undergoing hysterectomy for menorrhagia in a district general hospital. Journal of Obstetrics and Gynaecology. 27(2). 171–173. 2 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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