Vignesh Sampath
Impact in
- Ceramics and Composites top 10%
- Advanced ceramic materials synthesis
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- Industrial Vision Systems and Defect Detection
Papers in
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- Advanced Neural Network Applications 3
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- Industrial Vision Systems and Defect Detection 4
- Co-authors
- Juan José Aguilar Martín (5 shared papers)Iñaki Maurtua (4 shared papers)Aitor Gutierrez (2 shared papers)Matteo Calaon (1 shared paper)Marvin Carl May (1 shared paper)Gualtiero Fantoni (1 shared paper)R. Vijayalakshmi (1 shared paper)Guido Tosello (1 shared paper)
In The Last Decade
Vignesh Sampath
10 papers receiving 386 citations
Peers
Comparison fields: 5 of 86
- Ceramics and Composites 72
- Industrial and Manufacturing Engineering 83
- Mechanical Engineering 163
- Health Informatics 5
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Vignesh Sampath
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
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-authors
The 10 scholars most cited alongside Vignesh Sampath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 161 | |
| 2 | 2016 | 110 | |
| 3 | 2023 | 46 | |
| 4 | 2023 | 37 | |
| 5 | 2022 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2016 | 12 | |
| 8 | 2022 | 5 | |
| 9 | 2018 | 4 | |
| 10 | 2024 | 1 |
About Vignesh Sampath
Vignesh Sampath is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Computational Mechanics, Mechanical Engineering and Automotive Engineering, having authored 10 papers that have together received 403 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (4 papers), Advanced Neural Network Applications (3 papers), Surface Roughness and Optical Measurements (2 papers), Conservation Techniques and Studies (1 paper), Structural Response to Dynamic Loads (1 paper), Fire effects on concrete materials (1 paper), Building materials and conservation (1 paper) and Cultural Heritage Materials Analysis (1 paper). The work is most often cited by research in Ceramics and Composites (72 citations), Industrial and Manufacturing Engineering (83 citations), Mechanical Engineering (163 citations), Health Informatics (5 citations) and Computer Vision and Pattern Recognition (76 citations). Vignesh Sampath has collaborated with scholars based in Spain, India and Germany. Frequent co-authors include Juan José Aguilar Martín, Iñaki Maurtua, Aitor Gutierrez, Matteo Calaon, Marvin Carl May, Gualtiero Fantoni, R. Vijayalakshmi, Guido Tosello, C. Lakshmana Rao and G. S. Palani. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Journal Of Big Data, Applied Sciences, Sensors and Journal of Materials Engineering and Performance.
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.