A. Balasundaram

1.4k total citations
78 papers, 684 citations indexed

About

A. Balasundaram is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, A. Balasundaram has authored 78 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 14 papers in Plant Science. Recurrent topics in A. Balasundaram's work include Smart Agriculture and AI (14 papers), Video Surveillance and Tracking Methods (11 papers) and IoT and Edge/Fog Computing (8 papers). A. Balasundaram is often cited by papers focused on Smart Agriculture and AI (14 papers), Video Surveillance and Tracking Methods (11 papers) and IoT and Edge/Fog Computing (8 papers). A. Balasundaram collaborates with scholars based in India, Japan and United Kingdom. A. Balasundaram's co-authors include C. Chellappan, K. Pradeep, Arun Kumar Sivaraman, D. Kothandaraman, E. C. G. Sudarshan, Prabhakar Krishnan, A. V. Prabu, Sidheswar Routray, Prince Priya Malla and Moinak Maiti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

A. Balasundaram

71 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Balasundaram India 15 170 167 164 114 106 78 684
V. Muneeswaran India 18 185 1.1× 107 0.6× 196 1.2× 164 1.4× 116 1.1× 85 803
V. Muthukumaran India 15 201 1.2× 114 0.7× 96 0.6× 64 0.6× 108 1.0× 63 729
K. Muthamil Sudar India 18 239 1.4× 297 1.8× 95 0.6× 114 1.0× 111 1.0× 35 686
Meshal Alharbi Saudi Arabia 17 186 1.1× 110 0.7× 158 1.0× 54 0.5× 67 0.6× 70 711
Sami Dhahbi Saudi Arabia 15 205 1.2× 97 0.6× 143 0.9× 121 1.1× 65 0.6× 47 676
Ahmed A. Elngar Egypt 14 326 1.9× 119 0.7× 215 1.3× 50 0.4× 111 1.0× 84 855
Sunday Adeola Ajagbe Nigeria 14 199 1.2× 163 1.0× 116 0.7× 33 0.3× 88 0.8× 78 633
Akey Sungheetha India 12 169 1.0× 92 0.6× 214 1.3× 37 0.3× 76 0.7× 84 683
Ankit Vidyarthi India 14 244 1.4× 167 1.0× 199 1.2× 34 0.3× 96 0.9× 98 683
Ajmeera Kiran India 13 185 1.1× 125 0.7× 81 0.5× 38 0.3× 84 0.8× 111 638

Countries citing papers authored by A. Balasundaram

Since Specialization
Citations

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

Fields of papers citing papers by A. Balasundaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Balasundaram. A scholar is included among the top collaborators of A. Balasundaram 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. Balasundaram. A. Balasundaram 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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Balasundaram, A., et al.. (2025). Automated speech therapy through personalized pronunciation correction using reinforcement learning and large language models. Results in Engineering. 25. 103943–103943. 1 indexed citations
3.
Rajalakshmi, R., et al.. (2024). Dual multi scale networks for medical image segmentation using contrastive learning. Image and Vision Computing. 154. 105371–105371. 4 indexed citations
4.
5.
Balasundaram, A., et al.. (2024). Tea leaf disease detection using segment anything model and deep convolutional neural networks. Results in Engineering. 25. 103784–103784. 11 indexed citations
6.
Balasundaram, A., et al.. (2024). Genetic Algorithm Optimized Stacking Approach to Skin Disease Detection. IEEE Access. 12. 88950–88962. 3 indexed citations
7.
Pradeep, K., et al.. (2024). MCWOA Scheduler: Modified Chimp-Whale Optimization Algorithm for Task Scheduling in Cloud Computing. Computers, materials & continua/Computers, materials & continua (Print). 78(2). 2593–2616.
8.
Balasundaram, A., Sidheswar Routray, A. V. Prabu, et al.. (2023). Internet of Things (IoT)-Based Smart Healthcare System for Efficient Diagnostics of Health Parameters of Patients in Emergency Care. IEEE Internet of Things Journal. 10(21). 18563–18570. 65 indexed citations
9.
Balasundaram, A., et al.. (2023). A Foreground Prototype-Based One-Shot Segmentation of Brain Tumors. Diagnostics. 13(7). 1282–1282. 5 indexed citations
10.
Balasundaram, A., et al.. (2023). Smart Diagnosis of Adenocarcinoma Using Convolution Neural Networks and Support Vector Machines. Sustainability. 15(2). 1399–1399. 5 indexed citations
11.
Balasundaram, A., et al.. (2023). Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks. Diagnostics. 13(5). 918–918. 17 indexed citations
12.
Balasundaram, A., et al.. (2023). A Comprehensive Study on the Role of Artificial Intelligence in Animal Husbandry. 12. 1–6. 1 indexed citations
13.
Balasundaram, A., et al.. (2023). Time Domain Investigation of Hybrid Intelligent Controllers Fed Five-Phase PMBLDC Motor Drive. Applied Sciences. 13(5). 3281–3281. 6 indexed citations
14.
Balasundaram, A., et al.. (2023). Detecting True Medicinal Leaves Among Similar Leaves Using Computer Vision and CNN. National Academy Science Letters. 46(3). 257–262. 7 indexed citations
15.
Balasundaram, A., et al.. (2022). Automated Bone Marrow Cell Classification for Haematological Disease Diagnosis Using Siamese Neural Network. Diagnostics. 13(1). 112–112. 11 indexed citations
16.
Balasundaram, A., et al.. (2022). Deep Learning Based Face Detection and Identification of Criminal Suspects. Computers, materials & continua/Computers, materials & continua (Print). 74(2). 2331–2343. 7 indexed citations
17.
Balasundaram, A., et al.. (2021). An Extensive Study on Disease Prediction in Mango Trees Using Computer Vision. Annals of the Romanian Society for Cell Biology. 1895–1905. 12 indexed citations
18.
Hemanand, D., et al.. (2021). Enabling Sustainable Energy for Smart Environment Using 5G Wireless Communication and Internet of Things. IEEE Wireless Communications. 28(6). 56–61. 21 indexed citations
19.
Sivaraman, Arun Kumar, et al.. (2021). Power Analysis of Household Appliances using IoT. 1–5. 11 indexed citations
20.
Balasundaram, A., et al.. (2020). Computer vision based fatigue detection using facial parameters. IOP Conference Series Materials Science and Engineering. 981(2). 22005–22005. 18 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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