S. N. Kumar

780 total citations
32 papers, 386 citations indexed

About

S. N. Kumar is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, S. N. Kumar has authored 32 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Biomedical Engineering. Recurrent topics in S. N. Kumar's work include Medical Image Segmentation Techniques (11 papers), Image and Signal Denoising Methods (6 papers) and Brain Tumor Detection and Classification (5 papers). S. N. Kumar is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Image and Signal Denoising Methods (6 papers) and Brain Tumor Detection and Classification (5 papers). S. N. Kumar collaborates with scholars based in India, Malaysia and United States. S. N. Kumar's co-authors include A. Lenin Fred, A. Ahilan, Sujatha Krishnamoorthy, Gokulnath Chandra Babu, Priyan Malarvizhi Kumar, P. Parthasarathy, T. Jarin, Gunasekaran Manogaran, Seifedine Kadry and Balázs Gulyás and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Sensors Journal.

In The Last Decade

S. N. Kumar

25 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. N. Kumar India 10 133 71 58 56 53 32 386
Vijay Kumar Bohat India 11 112 0.8× 98 1.4× 88 1.5× 50 0.9× 13 0.2× 18 422
Alaa Eleyan Türkiye 12 366 2.8× 88 1.2× 50 0.9× 44 0.8× 18 0.3× 56 595
G. Kavitha India 11 133 1.0× 62 0.9× 54 0.9× 25 0.4× 58 1.1× 73 354
Juan E. Arco Spain 12 83 0.6× 72 1.0× 103 1.8× 24 0.4× 34 0.6× 23 346
C. Jiménez-Mesa Spain 9 101 0.8× 138 1.9× 93 1.6× 65 1.2× 71 1.3× 14 449
Kaleem Arshid China 8 102 0.8× 73 1.0× 13 0.2× 53 0.9× 98 1.8× 20 358
José Ruiz-Pinales Mexico 13 143 1.1× 135 1.9× 69 1.2× 55 1.0× 21 0.4× 55 473
Muhammad Adeel Asghar Pakistan 10 56 0.4× 45 0.6× 130 2.2× 27 0.5× 17 0.3× 28 312
T. Sunil Kumar India 11 124 0.9× 209 2.9× 190 3.3× 78 1.4× 56 1.1× 35 528
Ziquan Zhu United Kingdom 7 146 1.1× 121 1.7× 19 0.3× 72 1.3× 54 1.0× 10 384

Countries citing papers authored by S. N. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by S. N. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. N. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of S. N. Kumar. A scholar is included among the top collaborators of S. N. Kumar 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. N. Kumar. S. N. Kumar 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.
Kumar, S. N., et al.. (2025). Deep Learning Architectures for OCT Images Retinal Disease Classification. SN Computer Science. 6(2).
2.
Kumar, S. N., et al.. (2025). An adaptive multi-head self-attention coupled with attention filtered LSTM for advanced scene text recognition. International Journal on Document Analysis and Recognition (IJDAR). 28(4). 681–700.
3.
4.
Kumar, S. N., et al.. (2025). Smart farming for a sustainable future: implementing IoT-based systems in precision agriculture. Bulletin of the National Research Centre. 49(1).
5.
Kumar, S. N., et al.. (2024). ROI extraction in corona virus (COVID 19) CT images using intuitionistic fuzzy edge detection. Heliyon. 10(6). e27798–e27798. 1 indexed citations
6.
Kumar, S. N., et al.. (2024). Fuzzy C Means Clustering Coupled with Firefly Optimization Algorithm for the Segmentation of Neurodisorder Magnetic Resonance Images. Procedia Computer Science. 235. 1577–1589. 4 indexed citations
7.
Kumar, S. N., et al.. (2023). Artificial Intelligence in Telemedicine. 3 indexed citations
8.
Kumar, S. N., et al.. (2023). Microclimate monitoring system for irrigation water optimization using IoT. Measurement Sensors. 27. 100727–100727. 17 indexed citations
9.
Ahilan, A., et al.. (2023). FPGA Implementation of Gauss Gradient Edge Detectors for Medical Images. Wireless Personal Communications. 131(2). 973–990.
10.
Kumar, S. N., et al.. (2022). IoT based optical coherence tomography retinal images classification using OCT Deep Net2. Measurement Sensors. 25. 100652–100652. 2 indexed citations
11.
12.
Kumar, S. N., et al.. (2020). Gaussian Hermite polynomial based lossless medical image compression. Multimedia Systems. 27(1). 15–31. 14 indexed citations
13.
14.
Kumar, S. N., et al.. (2019). Lossless Compression of CT Images by an Improved Prediction Scheme Using Least Square Algorithm. Circuits Systems and Signal Processing. 39(2). 522–542. 9 indexed citations
15.
Ahilan, A., Gokulnath Chandra Babu, P. Parthasarathy, et al.. (2019). Segmentation by Fractional Order Darwinian Particle Swarm Optimization Based Multilevel Thresholding and Improved Lossless Prediction Based Compression Algorithm for Medical Images. IEEE Access. 7. 89570–89580. 121 indexed citations
16.
17.
Kumar, S. N., et al.. (2018). Compression of CT Images using Contextual Vector Quantization with Simulated Annealing for Telemedicine Application. Journal of Medical Systems. 42(11). 218–218. 9 indexed citations
18.
Kumar, S. N., et al.. (2018). An Overview of Segmentation Algorithms for the Analysis of Anomalies on Medical Images. Journal of Intelligent Systems. 29(1). 612–625. 17 indexed citations
19.
Fred, A. Lenin, et al.. (2016). Robust Alzheimer's disease classification based on multimodal neuroimaging. 748–752. 9 indexed citations
20.
Kumar, S. N. & A. Lenin Fred. (2014). Soft computing based segmentation of anomalies on abdomen CT images. 1–6. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Vijay Kumar Bohat Breakdown of academic impact, for papers by Alaa Eleyan Breakdown of academic impact, for papers by G. Kavitha Breakdown of academic impact, for papers by Juan E. Arco Breakdown of academic impact, for papers by C. Jiménez-Mesa Breakdown of academic impact, for papers by Kaleem Arshid Breakdown of academic impact, for papers by José Ruiz-Pinales Breakdown of academic impact, for papers by Muhammad Adeel Asghar Breakdown of academic impact, for papers by T. Sunil Kumar Breakdown of academic impact, for papers by Ziquan Zhu
Rankless by CCL
2026