Sabari Nathan

545 total citations
17 papers, 80 citations indexed

About

Sabari Nathan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Civil and Structural Engineering. According to data from OpenAlex, Sabari Nathan has authored 17 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 2 papers in Civil and Structural Engineering. Recurrent topics in Sabari Nathan's work include Image and Signal Denoising Methods (3 papers), Vehicle License Plate Recognition (3 papers) and Advanced Image Fusion Techniques (2 papers). Sabari Nathan is often cited by papers focused on Image and Signal Denoising Methods (3 papers), Vehicle License Plate Recognition (3 papers) and Advanced Image Fusion Techniques (2 papers). Sabari Nathan collaborates with scholars based in India, Japan and China. Sabari Nathan's co-authors include R. Suganya, S. Mohamed Mansoor Roomi, Sahaya Beni Prathiba, Wei Wang, Pranab Choudhury, B. Sathya Bama, T. Muthuramalingam, Taha Alfakih, Hussain AlSalman and Sanjay Kumar Verma and has published in prestigious journals such as IEEE Access, Journal of Food Engineering and Engineering Applications of Artificial Intelligence.

In The Last Decade

Sabari Nathan

12 papers receiving 73 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabari Nathan India 6 50 23 12 10 7 17 80
Zhihang Zhong Japan 6 86 1.7× 28 1.2× 4 0.3× 3 0.3× 10 1.4× 15 121
Ganesh Sistu Ireland 6 83 1.7× 12 0.5× 3 0.3× 13 1.3× 33 4.7× 37 128
Xinyue Cai China 4 112 2.2× 14 0.6× 3 0.3× 16 1.6× 30 4.3× 15 174
Chau Pham United States 5 47 0.9× 12 0.5× 50 4.2× 10 1.0× 3 0.4× 13 136
Mingyue Feng China 6 34 0.7× 8 0.3× 5 0.4× 9 0.9× 21 3.0× 24 122
Philippe Dosch France 5 101 2.0× 7 0.3× 18 1.5× 18 1.8× 21 3.0× 11 151
Nelson Nauata Canada 4 64 1.3× 6 0.3× 8 0.7× 35 3.5× 8 1.1× 5 134
Junhyuk Hyun South Korea 10 165 3.3× 20 0.9× 6 0.5× 7 0.7× 28 4.0× 18 211
Akshita Gupta India 5 108 2.2× 18 0.8× 4 0.3× 8 0.8× 19 2.7× 7 156

Countries citing papers authored by Sabari Nathan

Since Specialization
Citations

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

Fields of papers citing papers by Sabari Nathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabari Nathan

This figure shows the co-authorship network connecting the top 25 collaborators of Sabari Nathan. A scholar is included among the top collaborators of Sabari Nathan 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 Sabari Nathan. Sabari Nathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
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Vijayalakshmi, M., Sabari Nathan, Sanjay Kumar Verma, et al.. (2024). DePondFi’23 Challenge on Real-Time Pond Environment: Methods and Results. IEEE Access. 12. 157975–157987. 2 indexed citations
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Nathan, Sabari, et al.. (2024). Multiattention-Net: A Novel Approach to Face Anti-Spoofing with Modified Squeezed Residual Blocks. 1013–1020. 4 indexed citations
5.
Al‐Shehari, Taher, et al.. (2024). An unmanned aerial vehicle captured dataset for railroad segmentation and obstacle detection. Scientific Data. 11(1). 1315–1315. 2 indexed citations
6.
Nathan, Sabari, et al.. (2024). Enhancing busbar safety: a smart thermal imaging pipeline for real-time load monitoring. Nondestructive Testing And Evaluation. 40(10). 5058–5079. 1 indexed citations
7.
Nathan, Sabari, et al.. (2024). Lightweight railroad semantic segmentation network and distance estimation for railroad Unmanned aerial vehicle images. Engineering Applications of Artificial Intelligence. 134. 108620–108620. 8 indexed citations
8.
Nathan, Sabari, et al.. (2024). MonuNet: a high performance deep learning network for Kolkata heritage image classification. Heritage Science. 12(1). 5 indexed citations
9.
Nathan, Sabari, et al.. (2023). End-to-End Depth-Guided Relighting Using Lightweight Deep Learning-Based Method. Journal of Imaging. 9(9). 175–175.
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Nathan, Sabari, et al.. (2022). KolamNet: An attention based model for kolam classification✱. 1–6. 1 indexed citations
12.
Suganya, R., et al.. (2022). A Comparative Assessment of Deep Neural Network Models for Detecting Obstacles in the Real Time Aerial Railway Track Images. Applied Artificial Intelligence. 36(1). 27 indexed citations
13.
Nathan, Sabari, et al.. (2022). Insta Net: Recurrent Residual Network for Instagram Filter Removal✱. 1–7. 1 indexed citations
14.
Nathan, Sabari, et al.. (2021). SkeletonNetV2: A Dense Channel Attention Blocks for Skeleton Extraction. 2142–2149. 5 indexed citations
15.
Nathan, Sabari, et al.. (2021). Leveraging Multi scale Backbone with Multilevel supervision for Thermal Image Super Resolution. 4327–4333. 5 indexed citations
16.
Nathan, Sabari, et al.. (2020). Efficient Supervision Net: Polyp Segmentation Using EfficientNet and Attention Unit.. MediaEval.
17.
Nathan, Sabari, et al.. (2020). A Multi-Level Supervision Model: A novel approach for Thermal Image Super Resolution. 426–431. 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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2026