M. Sasikala

768 total citations
40 papers, 518 citations indexed

About

M. Sasikala is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, M. Sasikala has authored 40 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Biomedical Engineering. Recurrent topics in M. Sasikala's work include EEG and Brain-Computer Interfaces (8 papers), Medical Image Segmentation Techniques (5 papers) and Infrared Thermography in Medicine (5 papers). M. Sasikala is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Medical Image Segmentation Techniques (5 papers) and Infrared Thermography in Medicine (5 papers). M. Sasikala collaborates with scholars based in India and Iraq. M. Sasikala's co-authors include N. Kumaravel, Ganesan Venkatasubramanian, Harleen Chhabra, S. Prabha, Santhosh Satheesh, Raja J. Selvaraj, S. Shenbaga Devi, S. Ravikumar, Maged Hassan and Srinivasan Jagannathan and has published in prestigious journals such as World Journal of Surgery, The Journal of Membrane Biology and Neural Computing and Applications.

In The Last Decade

M. Sasikala

37 papers receiving 486 citations

Peers

M. Sasikala
M. Sasikala
Citations per year, relative to M. Sasikala M. Sasikala (= 1×) peers Ajat Shatru Arora

Countries citing papers authored by M. Sasikala

Since Specialization
Citations

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

Fields of papers citing papers by M. Sasikala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sasikala. A scholar is included among the top collaborators of M. Sasikala 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. Sasikala. M. Sasikala 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.
Sasikala, M., et al.. (2025). A real-time ML-based asynchronous HCI speller system using EOG signals. Biomedical Signal Processing and Control. 104. 107463–107463. 2 indexed citations
3.
Devi, S. Shenbaga, et al.. (2024). The role of beat-by-beat cardiac features in machine learning classification of ischemic heart disease (IHD) in magnetocardiogram (MCG). Biomedical Physics & Engineering Express. 10(4). 45007–45007. 3 indexed citations
4.
Devi, S. Shenbaga, et al.. (2023). A method for noninvasive beat‐by‐beat visualization of His bundle signals. Annals of Noninvasive Electrocardiology. 28(5). e13076–e13076. 1 indexed citations
5.
Sasikala, M., et al.. (2021). A Simplified Framework for the Detection of Intracranial Hemorrhage in CT Brain Images Using Deep Learning. Current Medical Imaging Formerly Current Medical Imaging Reviews. 17(10). 1226–1236. 19 indexed citations
6.
Devi, S. Shenbaga, et al.. (2021). An epoch based methodology to denoise magnetocardiogram (MCG) signals and its application to measurements on subjects with implanted devices. Biomedical Physics & Engineering Express. 7(3). 35006–35006. 11 indexed citations
8.
Sasikala, M., et al.. (2020). Real Time Traffic Assesment using Image Processing. 96. 185–190. 1 indexed citations
9.
Sasikala, M., et al.. (2019). On the construction of fuzzy intrinsic edge magic graphs. 9(6). 692–701.
10.
Sasikala, M., et al.. (2016). Statistical texture feature set based classification of histopathological images of stomach adenocarcinoma. Biomedical Research-tokyo. 80–86. 1 indexed citations
11.
Sasikala, M., et al.. (2015). Design of compact electromagnetic impulse radiating antenna for melanoma treatment. Electromagnetic Biology and Medicine. 35(2). 134–142. 2 indexed citations
12.
Sasikala, M., et al.. (2015). Molecular Simulation of Cell Membrane Deformation by Picosecond Intense Electric Pulse. The Journal of Membrane Biology. 248(6). 1015–1020. 9 indexed citations
13.
Sasikala, M., et al.. (2015). A low cost thermal imaging system for medical diagnostic applications. 12 indexed citations
14.
Sasikala, M., et al.. (2014). Detection of Breast Abnormality from Thermograms Using Curvelet Transform Based Feature Extraction. Journal of Medical Systems. 38(4). 23–23. 82 indexed citations
15.
Sasikala, M., et al.. (2014). Design of tapered arm impulse radiating antenna with log periodic lens system for skin cancer treatment. Journal of Medical Engineering & Technology. 38(3). 135–145. 1 indexed citations
16.
Sasikala, M., et al.. (2012). Automatic detection of malignant cells in soft tissues from microscopic images. IEEE-International Conference On Advances In Engineering, Science And Management. 376–380. 1 indexed citations
17.
Sasikala, M., et al.. (2012). Automatic detection of abnormal breast thermograms using asymmetry analysis of texture features. Journal of Medical Engineering & Technology. 37(1). 17–21. 38 indexed citations
18.
Sasikala, M. & N. Kumaravel. (2008). A wavelet-based optimal texture feature set for classification of brain tumours. Journal of Medical Engineering & Technology. 32(3). 198–205. 38 indexed citations
19.
Sasikala, M., N. Kumaravel, & S. Ravikumar. (2006). Segmentation of Brain MR Images using Genetically Guided Clustering. PubMed. 2006. 3620–3623. 3 indexed citations
20.
Sasikala, M., et al.. (2006). Automatic tumor segmentation using optimal texture features. 2006. 62–62. 3 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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