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

Attention embedded residu... 2019 2026 2021 2023 2019 100 200 300
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. Attention embedded residual CNN for disease detection in tomato leaves
    2019 392 citations R. Karthik, M. Hariharan et al. Applied Soft Computing profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
R. Menaka 383 251 236 231 205 54 1.1k
Xianqing Chen 165 0.4× 113 0.5× 225 1.0× 199 0.9× 148 0.7× 17 745
Kemal Akyol 494 1.3× 118 0.5× 130 0.6× 151 0.7× 44 0.2× 47 1.0k
Shervan Fekri-Ershad 59 0.2× 111 0.4× 434 1.8× 215 0.9× 38 0.2× 26 854
Malaya Kumar Nath 46 0.1× 534 2.1× 493 2.1× 375 1.6× 52 0.3× 67 1.3k
Ch. Usha Kumari 139 0.4× 61 0.2× 55 0.2× 125 0.5× 33 0.2× 43 593
Manesh Kokare 103 0.3× 878 3.5× 1.2k 5.2× 186 0.8× 89 0.4× 78 2.0k
Tommy Löfstedt 50 0.1× 187 0.7× 103 0.4× 144 0.6× 32 0.2× 35 754
Abdelmalik Taleb‐Ahmed 35 0.1× 166 0.7× 212 0.9× 165 0.7× 24 0.1× 50 627
Yasin Kaya 103 0.3× 58 0.2× 140 0.6× 166 0.7× 37 0.2× 31 631
Hengde Zhu 34 0.1× 150 0.6× 172 0.7× 172 0.7× 79 0.4× 14 596

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

20 of 20 papers shown
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Menaka, R., et al.. (2025). A Quantum-Based Machine Learning Approach for Autism Detection Using Common Spatial Patterns of EEG Signals. IEEE Access. 13. 15739–15750. 2 indexed citations
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Karthik, R., et al.. (2024). Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment. IEEE Access. 12. 21634–21646. 3 indexed citations
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Karthik, R., et al.. (2023). HMARNET—A Hierarchical Multi‐Attention Residual Network for Gleason scoring of prostate cancer. International Journal of Imaging Systems and Technology. 34(1). 1 indexed citations
8.
Menaka, R., et al.. (2023). An Improved AlexNet Model and Cepstral Coefficient-Based Classification of Autism Using EEG. Clinical EEG and Neuroscience. 55(1). 43–51. 15 indexed citations
9.
Karthik, R., R. Menaka, M. Hariharan, & Daehan Won. (2022). Contour-enhanced attention CNN for CT-based COVID-19 segmentation. Pattern Recognition. 125. 108538–108538. 45 indexed citations
10.
Karthik, R., R. Menaka, M. Hariharan, & Daehan Won. (2022). CT-based severity assessment for COVID-19 using weakly supervised non-local CNN. Applied Soft Computing. 121. 108765–108765. 15 indexed citations
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Karthik, R., R. Menaka, M. Hariharan, & Daehan Won. (2020). Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN. Computer Methods and Programs in Biomedicine. 200. 105831–105831. 27 indexed citations
13.
Menaka, R., et al.. (2020). Ischemic stroke lesion detection, characterization and classification in CT images with optimal features selection. Biomedical Engineering Letters. 10(3). 333–344. 14 indexed citations
14.
Karthik, R., et al.. (2020). Neuroimaging and deep learning for brain stroke detection - A review of recent advancements and future prospects. Computer Methods and Programs in Biomedicine. 197. 105728–105728. 80 indexed citations
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Karthik, R., R. Menaka, & M. Hariharan. (2020). Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN. Applied Soft Computing. 99. 106744–106744. 76 indexed citations
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Karthik, R., et al.. (2019). A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network. Applied Soft Computing. 84. 105685–105685. 56 indexed citations
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Meenakshi, R., et al.. (2017). Review of Energy Efficient Factors for ECG Devices. WSEAS TRANSACTIONS on COMMUNICATIONS archive. 16. 2 indexed citations
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Menaka, R., et al.. (2017). Performance evaluation of modified hybrid handover scheme in LTE fast moving rail networks. International Journal of Wireless and Mobile Computing. 12(1). 96–96. 3 indexed citations
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Menaka, R., et al.. (2015). Ischemic Stroke Detection from MRI Diffusion images using bifurcation analysis of texture features and fuzzy based segmentation. 28(2). 117–125. 4 indexed citations
20.
Menaka, R., et al.. (2013). HAAR TRANSFORM BASED ESTIMATION OF CHLOROPHYLL AND STRUCTURE OF THE LEAF. ICTACT Journal on Image and Video Processing. 3(4). 612–615. 1 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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