R. Menaka

1.6k total citations · 1 hit paper
54 papers, 1.1k citations indexed

About

R. Menaka is a scholar working on Computer Vision and Pattern Recognition, Neurology and Biomedical Engineering. According to data from OpenAlex, R. Menaka has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 12 papers in Neurology and 12 papers in Biomedical Engineering. Recurrent topics in R. Menaka's work include Brain Tumor Detection and Classification (12 papers), Medical Image Segmentation Techniques (10 papers) and EEG and Brain-Computer Interfaces (8 papers). R. Menaka is often cited by papers focused on Brain Tumor Detection and Classification (12 papers), Medical Image Segmentation Techniques (10 papers) and EEG and Brain-Computer Interfaces (8 papers). R. Menaka collaborates with scholars based in India, United States and Malaysia. R. Menaka's co-authors include R. Karthik, M. Hariharan, Sundar Anand, Daehan Won, R. Rajalakshmi, C. Chellamuthu, Shivangi Gupta, V. Ranganathan, N. Sujatha and Asoke K. Nandi and has published in prestigious journals such as Scientific Reports, IEEE Access and Pattern Recognition.

In The Last Decade

R. Menaka

52 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

Attention embedded residual CNN for disease detection in tomato leaves

2019 392 citations R. Karthik, M. Hariharan et al. Applied Soft Computing profile →

Peers

Countries citing papers authored by R. Menaka

Since Specialization

Citations

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

Fields of papers citing papers by R. Menaka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Menaka

This figure shows the co-authorship network connecting the top 25 collaborators of R. Menaka. A scholar is included among the top collaborators of R. Menaka 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 R. Menaka. R. Menaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	An Explainable Machine Learning Network for Classification of Autism Spectrum Disorder Using Optimal Frequency Band Identification From Brain EEG 2025 ·IEEE Access ·(unknown), R. Menaka	1
2	A Quantum-Based Machine Learning Approach for Autism Detection Using Common Spatial Patterns of EEG Signals 2025 ·IEEE Access ·(unknown), R. Menaka	2
3	A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network 2024 ·IEEE Access ·R. Karthik, R. Menaka, (unknown), Jaehyuk Cho, V E Sathishkumar	3
4	GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification 2024 ·IEEE Access ·R. Karthik, R. Menaka, (unknown), (unknown), (unknown), (unknown), Daehan Won	9
5	Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment 2024 ·IEEE Access ·R. Karthik, R. Menaka, (unknown), (unknown), C. S. Vikram	3
6	Convolution neural network based multi-class classification of rehabilitation exercises for diastasis recti abdominis using wearable EMG-IMU sensors 2024 ·Engineering Computations ·R. Menaka, (unknown), (unknown), (unknown), (unknown)	1
7	HMARNET—A Hierarchical Multi‐Attention Residual Network for Gleason scoring of prostate cancer 2023 ·International Journal of Imaging Systems and Technology ·R. Karthik, R. Menaka, (unknown), (unknown), (unknown), Daehan Won	1
8	An Improved AlexNet Model and Cepstral Coefficient-Based Classification of Autism Using EEG 2023 ·Clinical EEG and Neuroscience ·R. Menaka, R. Karthik, (unknown), Mahesan Niranjan, Senthil Kabilan	15
9	Contour-enhanced attention CNN for CT-based COVID-19 segmentation 2022 ·Pattern Recognition ·R. Karthik, R. Menaka, M. Hariharan, Daehan Won	45
10	AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions 2021 ·IRBM ·R. Karthik, R. Menaka, M. Hariharan, (unknown)	18
11	Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN 2020 ·Computer Methods and Programs in Biomedicine ·R. Karthik, R. Menaka, M. Hariharan, Daehan Won	27
12	Ischemic stroke lesion detection, characterization and classification in CT images with optimal features selection 2020 ·Biomedical Engineering Letters ·(unknown), R. Menaka	14
13	Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN 2020 ·Applied Soft Computing ·R. Karthik, R. Menaka, M. Hariharan	76
14	Neuroimaging and deep learning for brain stroke detection - A review of recent advancements and future prospects 2020 ·Computer Methods and Programs in Biomedicine ·R. Karthik, R. Menaka, (unknown), Sundar Anand	80
15	A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network 2019 ·Applied Soft Computing ·R. Karthik, (unknown), (unknown), R. Rajalakshmi, R. Menaka	56
16	Automation of Petrol Bunk using Biotelemetry System and Petro Card 2018 ·(unknown), R. Menaka, (unknown), (unknown)	3
17	Review of Energy Efficient Factors for ECG Devices 2017 ·WSEAS TRANSACTIONS on COMMUNICATIONS archive ·R. Meenakshi, (unknown), R. Menaka	2
18	A novel approach for characterisation of ischaemic stroke lesion using histogram bin-based segmentation and gray level co-occurrence matrix features 2017 ·The Imaging Science Journal ·(unknown), R. Menaka	10
19	Ischemic Stroke Detection from MRI Diffusion images using bifurcation analysis of texture features and fuzzy based segmentation 2015 ·R. Menaka, R. Karthik, Shivangi Gupta, (unknown)	4
20	3D Cranio-Facial Surface Modeling from 2D CT Slices Using Fast Corner Detector 2010 ·International Journal of Computer and Electrical Engineering ·R. Menaka, C. Chellamuthu	1

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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