S. Kumarganesh

1.1k total citations
28 papers, 263 citations indexed

About

S. Kumarganesh is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Neurology. According to data from OpenAlex, S. Kumarganesh has authored 28 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Biomedical Engineering and 7 papers in Neurology. Recurrent topics in S. Kumarganesh's work include Brain Tumor Detection and Classification (7 papers), AI in cancer detection (3 papers) and Advanced Data Compression Techniques (3 papers). S. Kumarganesh is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), AI in cancer detection (3 papers) and Advanced Data Compression Techniques (3 papers). S. Kumarganesh collaborates with scholars based in India, United States and Vietnam. S. Kumarganesh's co-authors include M. Suganthi, B. Thiyaneswaran, K. Martin Sagayam, Binay Kumar Pandey, Digvijay Pandey, Marc Pomplun, N. Santhiyakumari, B. Paulchamy, D. Raja and R Maheshwari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Computational Biology.

In The Last Decade

S. Kumarganesh

26 papers receiving 226 citations

Peers

S. Kumarganesh

CVPR

NEURO

EEE

Maheshi B. Dissanayake Sri Lanka

B. Thiyaneswaran India

Riries Rulaningtyas Indonesia

Syed Inthiyaz India

Kapil Kumar Nagwanshi India

M. Ramya India

Ferhat Bozkurt Türkiye

Dathar Abas Hasan Iraq

Zhizhe Liu China

Liangmin Wang China

Maheshi B. Dissanayake Sri Lanka

S. Kumarganesh

101 ×1.2

CVPR

64 ×0.9

42 ×0.7

52 ×1.2

NEURO

67 ×1.8

EEE

Citations per year, relative to S. Kumarganesh S. Kumarganesh (= 1×) peers Maheshi B. Dissanayake

Countries citing papers authored by S. Kumarganesh

Since Specialization

Citations

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

Fields of papers citing papers by S. Kumarganesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Kumarganesh

This figure shows the co-authorship network connecting the top 25 collaborators of S. Kumarganesh. A scholar is included among the top collaborators of S. Kumarganesh 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 S. Kumarganesh. S. Kumarganesh 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

Thangavelu, Praveenkumar, S. Kumarganesh, K. Martin Sagayam, et al.. (2025). Enhanced Circuit Board Analysis: Infrared Image Segmentation Utilizing Markov Random Field ( MRF ) and Level Set Techniques. Engineering Reports. 7(3). 2 indexed citations

Kumarganesh, S., et al.. (2025). Integration of silver nanostructures in wireless sensor networks for enhanced biochemical sensing. Discover Nano. 20(1). 7–7. 7 indexed citations

Kumarganesh, S., et al.. (2025). Aggregated approach for interstitial lung diseases classification using attention based CNN and radial basis function neural network. Systems and Soft Computing. 7. 200228–200228.

Thangavel, M., S. Lalitha, S. Kumarganesh, et al.. (2025). Development of an Ion‐Sensitive Field‐Effect Transistor Device for High‐Performance Diagnostic and Clinical Biomedical Applications. Engineering Reports. 7(4). 1 indexed citations

Kumarganesh, S., et al.. (2025). Advanced AI-driven emergency response systems for enhanced vehicle and human safety. Iran Journal of Computer Science. 8(2). 441–456. 3 indexed citations

Thiyaneswaran, B., et al.. (2024). Environmental Pollution and Weather Data Monitoring Using Lora Low Power VLSI Solution. 1–6. 1 indexed citations

Thiyaneswaran, B., et al.. (2024). Modified Playfair for Text File Encryption and Meticulous Decryption with Arbitrary Fillers by Septenary Quadrate Pattern. The International journal of networked and distributed computing. 12(1). 108–118. 3 indexed citations

Raja, D., N. Santhiyakumari, S. Kumarganesh, et al.. (2024). A compact dual-feed wide-band slotted antenna for future wireless applications. Analog Integrated Circuits and Signal Processing. 118(2). 291–305. 10 indexed citations

Kumarganesh, S., et al.. (2024). Detection and Segmentation of Glioma Tumors Utilizing a UNet Convolutional Neural Network Approach with Non-Subsampled Shearlet Transform. Journal of Computational Biology. 31(8). 757–768. 2 indexed citations

10.

Ahammad, Shaik Hasane, et al.. (2024). Sign Language Classification Using Deep Learning Convolution Neural Networks Algorithm. Journal of The Institution of Engineers (India) Series B. 105(5). 1347–1355. 16 indexed citations

11.

Elngar, Ahmed A., et al.. (2023). IOT based smart cold chain temperature monitoring with alert system for vaccination container directed to universities and schools. AIP conference proceedings. 2990. 50001–50001. 1 indexed citations

12.

Santhiyakumari, N., et al.. (2023). Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform. Scientific Reports. 13(1). 14522–14522. 20 indexed citations

13.

Kumarganesh, S., et al.. (2022). An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach. Journal of Intelligent & Fuzzy Systems. 43(1). 1023–1033. 17 indexed citations

14.

Kumarganesh, S., et al.. (2022). A Novel Analytical Framework Is Developed for Wireless Heterogeneous Networks for Video Streaming Applications. Journal of Mathematics. 2022(1). 6 indexed citations

15.

Kumarganesh, S., et al.. (2021). WMLP: Web-based Multi-Layer protocols for Emergency Data Transmission in Mobile Ad Hoc Network. SHILAP Revista de lepidopterología. 297. 1065–1065. 7 indexed citations

16.

Thiyaneswaran, B., et al.. (2021). IoT based air quality measurement and alert system for steel, material and copper processing industries. Materials Today Proceedings. 81. 127–132. 5 indexed citations

17.

Srinivasan, P., et al.. (2021). Development of keyless biometric authenticated vehicles ignition system. Materials Today Proceedings. 81. 464–469. 2 indexed citations

18.

Thiyaneswaran, B., et al.. (2020). Early detection of melanoma images using gray level co‐occurrence matrix features and machine learning techniques for effective clinical diagnosis. International Journal of Imaging Systems and Technology. 31(2). 682–694. 44 indexed citations

19.

Kumarganesh, S. & M. Suganthi. (2016). An efficient approach for brain image (tissue) compression based on the position of the brain tumor. International Journal of Imaging Systems and Technology. 26(4). 237–242. 22 indexed citations

20.

Kumarganesh, S. & M. Suganthi. (2015). Efficient Medical Data and Medical Video Compression Using HEVC Standard. International Journal of Advanced Science and Engineering. 1(3). 11761–11766. 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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