S. S. Kumar

1.4k total citations
82 papers, 922 citations indexed

About

S. S. Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, S. S. Kumar has authored 82 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 19 papers in Neurology. Recurrent topics in S. S. Kumar's work include Medical Image Segmentation Techniques (19 papers), Brain Tumor Detection and Classification (19 papers) and AI in cancer detection (17 papers). S. S. Kumar is often cited by papers focused on Medical Image Segmentation Techniques (19 papers), Brain Tumor Detection and Classification (19 papers) and AI in cancer detection (17 papers). S. S. Kumar collaborates with scholars based in India, Germany and United States. S. S. Kumar's co-authors include S Aswathy, M. Anand, Dinesh Kumar, C. S., Chandra Kambhamettu, Ravi Kumar, Nilesh Chothani, Raghavan Kumar, Jimit Shah and David J. Purpura and has published in prestigious journals such as Developmental Psychology, IEEE Access and Biomedical Signal Processing and Control.

In The Last Decade

S. S. Kumar

69 papers receiving 843 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. S. Kumar India 17 357 343 321 183 166 82 922
N. Sri Madhava Raja India 16 488 1.4× 543 1.6× 464 1.4× 239 1.3× 167 1.0× 46 1.3k
Zekuan Yu China 19 282 0.8× 460 1.3× 248 0.8× 95 0.5× 68 0.4× 63 918
Shivajirao M. Jadhav India 15 240 0.7× 388 1.1× 474 1.5× 120 0.7× 77 0.5× 25 1.2k
Jianning Chi China 13 277 0.8× 373 1.1× 293 0.9× 71 0.4× 63 0.4× 65 760
Amirhossein Kazerouni Iran 7 419 1.2× 351 1.0× 302 0.9× 168 0.9× 41 0.2× 12 912
Ioannis Valavanis Greece 14 153 0.4× 168 0.5× 174 0.5× 44 0.2× 81 0.5× 34 700
Changhao Sun China 13 405 1.1× 423 1.2× 639 2.0× 96 0.5× 46 0.3× 23 1.0k
Zhemin Zhuang China 18 297 0.8× 391 1.1× 420 1.3× 89 0.5× 56 0.3× 56 850
Xiaobo Lai China 14 458 1.3× 281 0.8× 189 0.6× 327 1.8× 50 0.3× 33 946
João Otávio Bandeira Diniz Brazil 15 267 0.7× 526 1.5× 325 1.0× 91 0.5× 170 1.0× 50 839

Countries citing papers authored by S. S. Kumar

Since Specialization
Citations

This map shows the geographic impact of S. S. 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. S. 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. S. Kumar more than expected).

Fields of papers citing papers by S. S. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Kumar. A scholar is included among the top collaborators of S. S. 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. S. Kumar. S. S. 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. S.. (2025). Advancements in medical image segmentation: A review of transformer models. Computers & Electrical Engineering. 123. 110099–110099. 10 indexed citations
2.
Kumar, S. S., et al.. (2025). What I say is not what I do: Gender differences in the home mathematics environment.. Developmental Psychology. 61(3). 482–494. 1 indexed citations
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Kumar, S. S., et al.. (2025). A Review of U‐Net‐Based Deep Learning Models for Skin Lesion Segmentation. International Journal of Imaging Systems and Technology. 35(3).
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Chothani, Nilesh & S. S. Kumar. (2024). Enhancements in Active Cell Balancing and Integration of Protective Systems for Electric Vehicle Battery. 296–301. 1 indexed citations
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Kumar, S. S., et al.. (2024). The Implications of Varying Batch-Size in the Classification of Patch-Based Lung Nodules Using Convolutional Neural Network Architecture on Computed Tomography Images. Journal of Biomedical Photonics & Engineering. 10(1). 10305–10305. 1 indexed citations
10.
Kumar, S. S., et al.. (2023). Deep learning-based weld defect classification using VGG16 transfer learning adaptive fine-tuning. International Journal on Interactive Design and Manufacturing (IJIDeM). 17(6). 2999–3010. 31 indexed citations
11.
Kumar, S. S., et al.. (2023). LCD-Capsule Network for the Detection and Classification of Lung Cancer on Computed Tomography Images. Multimedia Tools and Applications. 82(24). 37573–37592. 40 indexed citations
12.
Kumar, S. S., et al.. (2023). Weld defect classification using multi level featured unified deep neural network. AIP conference proceedings. 2813. 20012–20012.
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Kumar, S. S., et al.. (2018). Design of low power and high speed implicit pulse flip-flop and its application. International Journal of Engineering & Technology. 7(3). 1893–1893. 3 indexed citations
15.
Aswathy, S, et al.. (2015). Quick Detection of Brain Tumor using a Combination of E-M and Levelset Method. Indian Journal of Science and Technology. 8(34). 8 indexed citations
16.
Aswathy, S, et al.. (2014). A survey on detection of brain tumor from MRI brain images. 871–877. 29 indexed citations
17.
Kumar, S. S., et al.. (2014). Methodological Survey on Fetal ECG Extraction. IOSR Journal of Computer Engineering. 16(5). 105–115.
18.
Kumar, S. S., et al.. (2014). Survey on Fetal ECG extraction. 1089–1095. 5 indexed citations
19.
Kumar, S. S.. (2010). Diagnosis of Liver Tumor from CT Images using Curvelet Transform. 10 indexed citations
20.
Kumar, S. S., et al.. (2008). Principal Component Analysis for Data Compression and Face Recognition. Americanae (AECID Library). 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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