Vignesh Sampath

583 total citations
10 papers, 379 citations indexed

About

Vignesh Sampath is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Computational Mechanics. According to data from OpenAlex, Vignesh Sampath has authored 10 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Computational Mechanics. Recurrent topics in Vignesh Sampath's work include Industrial Vision Systems and Defect Detection (4 papers), Advanced Neural Network Applications (3 papers) and Surface Roughness and Optical Measurements (2 papers). Vignesh Sampath is often cited by papers focused on Industrial Vision Systems and Defect Detection (4 papers), Advanced Neural Network Applications (3 papers) and Surface Roughness and Optical Measurements (2 papers). Vignesh Sampath collaborates with scholars based in India, Spain and Denmark. Vignesh Sampath's co-authors include Juan José Aguilar Martín, Iñaki Maurtua, Aitor Gutierrez, R. Vijayalakshmi, Gualtiero Fantoni, Guido Tosello, Matteo Calaon, Marvin Carl May, C. Lakshmana Rao and G. S. Palani and has published in prestigious journals such as Sensors, IEEE Transactions on Industrial Informatics and Applied Sciences.

In The Last Decade

Vignesh Sampath

10 papers receiving 359 citations

Peers

Vignesh Sampath

ME

AI

IME

CVPR

CC

Rafet Durgut Türkiye

Ziyan Zhao China

Xiaoyuan Ji China

Basant Tiwari India

Zirui Xu United States

M. H. Hamza Canada

Sankha Deb India

Guoqiang Wang China

Siwei Lu China

Rafet Durgut Türkiye

Vignesh Sampath

127 ×0.8

ME

67 ×0.8

AI

27 ×0.3

IME

16 ×0.2

CVPR

14 ×0.2

CC

Citations per year, relative to Vignesh Sampath Vignesh Sampath (= 1×) peers Rafet Durgut

Countries citing papers authored by Vignesh Sampath

Since Specialization

Citations

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

Fields of papers citing papers by Vignesh Sampath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vignesh Sampath

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

All Works

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10 of 10 papers shown

1.

Sampath, Vignesh, et al.. (2024). Influence of Laser Power on Microstructure and Mechanical Behavior of Laser Powder Bed Fusion IN718 after Heat Treatment. Journal of Materials Engineering and Performance. 34(12). 11860–11870. 1 indexed citations

2.

Sampath, Vignesh, et al.. (2023). Intraclass Image Augmentation for Defect Detection Using Generative Adversarial Neural Networks. Sensors. 23(4). 1861–1861. 11 indexed citations

3.

Sampath, Vignesh, Marvin Carl May, Juan José Aguilar Martín, et al.. (2023). Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’. Applied Sciences. 13(3). 1903–1903. 40 indexed citations

4.

Sampath, Vignesh, et al.. (2023). Attention-Guided Multitask Learning for Surface Defect Identification. IEEE Transactions on Industrial Informatics. 19(9). 9713–9721. 35 indexed citations

5.

Sampath, Vignesh, et al.. (2022). FTIR, XRD, EDAX and hardness test – An integrated approach to explore the elemental composition of archaeological and contemporary ceramic samples. Materials Today Proceedings. 68. 628–635. 13 indexed citations

6.

Sampath, Vignesh, et al.. (2022). Vision Transformer based knowledge distillation for fasteners defect detection. 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET). 1–6. 5 indexed citations

7.

Sampath, Vignesh, Iñaki Maurtua, Juan José Aguilar Martín, & Aitor Gutierrez. (2021). A survey on generative adversarial networks for imbalance problems in computer vision tasks. Journal Of Big Data. 8(1). 27–27. 153 indexed citations

8.

Palani, G. S., et al.. (2018). Compression Behaviour of Steel Tubular Members under Simulated Corrosion and Elevated Temperature. International Journal of Steel Structures. 18(1). 139–152. 4 indexed citations

9.

Sampath, Vignesh, et al.. (2016). Fabrication of Al–SiC–B4C metal matrix composite by powder metallurgy technique and evaluating mechanical properties. Perspectives in Science. 8. 428–431. 106 indexed citations

10.

Sampath, Vignesh, et al.. (2016). Energy Absorption of Foam Filled Aluminum Tubes under Dynamic Bending. Procedia Manufacturing. 7. 225–233. 11 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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