A. Mohanarathinam

504 total citations
25 papers, 132 citations indexed

About

A. Mohanarathinam is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, A. Mohanarathinam has authored 25 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in A. Mohanarathinam's work include AI in cancer detection (5 papers), Brain Tumor Detection and Classification (4 papers) and Retinal Imaging and Analysis (4 papers). A. Mohanarathinam is often cited by papers focused on AI in cancer detection (5 papers), Brain Tumor Detection and Classification (4 papers) and Retinal Imaging and Analysis (4 papers). A. Mohanarathinam collaborates with scholars based in India, Saudi Arabia and Malaysia. A. Mohanarathinam's co-authors include N. B. Prakash, G. R. Hemalakshmi, M. Murugappan, Mufti Mahmud, S. Jayachitra, M. Bhuvaneswari, Kamalraj Subramaniam, Mohamed Yacin Sikkandar, R. Seetharaman and Mohamad Khairi Ishak and has published in prestigious journals such as IEEE Access, Measurement and Biomedical Signal Processing and Control.

In The Last Decade

A. Mohanarathinam

20 papers receiving 126 citations

Peers

A. Mohanarathinam
Omid Nejati Manzari Iran
Zhengqing Xu China
Astri Handayani Indonesia
Xiaodong He China
Junyan Lyu China
Aimon Rahman Bangladesh
Shahab Aslani United Kingdom
Redha Ali United States
Abhir Bhandary India
Omid Nejati Manzari Iran
A. Mohanarathinam
Citations per year, relative to A. Mohanarathinam A. Mohanarathinam (= 1×) peers Omid Nejati Manzari

Countries citing papers authored by A. Mohanarathinam

Since Specialization
Citations

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

Fields of papers citing papers by A. Mohanarathinam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Mohanarathinam

This figure shows the co-authorship network connecting the top 25 collaborators of A. Mohanarathinam. A scholar is included among the top collaborators of A. Mohanarathinam 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 A. Mohanarathinam. A. Mohanarathinam 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.
Begum, S. Sabarunisha, et al.. (2025). Automated detection of coastal erosion hotspots using deep learning algorithms and remote sensing techniques for improved coastal management. Journal of South American Earth Sciences. 162. 105605–105605.
2.
Mohanarathinam, A., et al.. (2025). Real-time torque and joint angle estimation using electromyography signals and an LSTM deep learning model on edge computing platform. Iran Journal of Computer Science. 8(3). 1137–1156.
3.
4.
Hemalakshmi, G. R., et al.. (2024). PE-Ynet: a novel attention-based multi-task model for pulmonary embolism detection using CT pulmonary angiography (CTPA) scan images. Physical and Engineering Sciences in Medicine. 47(3). 863–880. 6 indexed citations
5.
Mohanarathinam, A., et al.. (2024). Diabetic Retinopathy Classification using Deep Learning Algorithm. 1–5.
6.
Mohanarathinam, A., et al.. (2024). Comparative Analysis of Deep Learning Models for Diabetic Retinopathy Classification. 828–832. 1 indexed citations
7.
Mohanarathinam, A., et al.. (2023). Detection of varicose vein disease using optimized kernel Boosted ResNet-Dropped long Short term Memory. Biomedical Signal Processing and Control. 87. 105432–105432. 5 indexed citations
8.
Mohanarathinam, A., et al.. (2023). Computer Vision-Assisted Object Detection and Handling Framework for Robotic Arm Design Using YOLOV5. ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL. 12. e31586–e31586. 3 indexed citations
9.
Mohanarathinam, A., et al.. (2023). Clinical Waste Storage System with Contamination Prevention Mechanism using UV and Arduino Microcontroller. 60. 1585–1591. 2 indexed citations
10.
Mohanarathinam, A., et al.. (2023). Convolutional Neural Networks for The Detection of Skin Diseases. 2. 1–7.
11.
Mohanarathinam, A., et al.. (2023). Medical Image Classification using Deep Learning Techniques: A Review. 1327–1332. 2 indexed citations
12.
Mohanarathinam, A., et al.. (2023). Analysis of Automated Leukemia Cancer Detection using Feature Selection and Classification Techniques. 740–745. 3 indexed citations
13.
Murugappan, M., et al.. (2022). A novel few-shot classification framework for diabetic retinopathy detection and grading. Measurement. 200. 111485–111485. 44 indexed citations
14.
Suresh, P, et al.. (2021). Optimal Deep Dense Convolutional Neural Network Based Classification Model for COVID-19 Disease. Computers, materials & continua/Computers, materials & continua (Print). 70(1). 2031–2047. 2 indexed citations
15.
Mohanarathinam, A., et al.. (2020). Breathe Analysis For Identification Of Respiratory Abnormalities Using SVM. 57. 640–643. 2 indexed citations
16.
Mohanarathinam, A., et al.. (2020). Study on Hand Gesture Recoginition by using Machine Learning. 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA). 1498–1501. 9 indexed citations
17.
18.
Prakash, N. B., et al.. (2020). Automatic segmentation of melanoma using superpixel region growing technique. Materials Today Proceedings. 45. 1726–1732. 12 indexed citations
19.
Mohanarathinam, A., et al.. (2020). Automatic Detection of Brain Tumor Using Deep Learning Algorithms. 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA). 1–4. 23 indexed citations
20.
Mohanarathinam, A., et al.. (2019). An Image Based Encryption Algorithm for Multimedia Applications. International Journal of Engineering and Advanced Technology. 9(2). 3354–3357. 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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