Pradeep Kumar Jayaraman
Impact in
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- Computer Graphics and Visualization Techniques
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- Manufacturing Process and Optimization
Papers in
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- 3D Shape Modeling and Analysis 11
- Advanced Numerical Analysis Techniques 2
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- Computer Graphics and Visualization Techniques 11
- Co-authors
- Chi‐Wing Fu (5 shared papers)Joseph G. Lambourne (6 shared papers)Karl D. D. Willis (4 shared papers)Jianmin Zheng (5 shared papers)Peng Song (1 shared paper)Daniel Cohen‐Or (1 shared paper)Hang Chu (2 shared papers)Takashi Maekawa (2 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)Computer-Aided Design (3 papers)ACM Transactions on Graphics (2 papers)Journal of Computing and Information Science in Engineering (1 paper)The Visual Computer (1 paper)
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Pradeep Kumar Jayaraman
18 papers receiving 290 citations
Peers
Comparison fields: 5 of 46
- Computer Graphics and Computer-Aided Design 89
- Industrial and Manufacturing Engineering 82
- Geology 44
- Computational Mechanics 144
- Computer Vision and Pattern Recognition 134
Countries citing papers authored by Pradeep Kumar Jayaraman
This map shows the geographic impact of Pradeep Kumar Jayaraman'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 Pradeep Kumar Jayaraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Kumar Jayaraman more than expected).
Fields of papers citing papers by Pradeep Kumar Jayaraman
This network shows the impact of papers produced by Pradeep Kumar Jayaraman. 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 Pradeep Kumar Jayaraman. The network helps show where Pradeep Kumar Jayaraman may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradeep Kumar Jayaraman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 70 | |
| 2 | 2021 | 38 | |
| 3 | 2022 | 38 | |
| 4 | 2018 | 33 | |
| 5 | 2016 | 23 | |
| 6 | 2024 | 20 | |
| 7 | 2018 | 14 | |
| 8 | 2005 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2017 | 11 | |
| 11 | 2023 | 8 | |
| 12 | 2024 | 5 | |
| 13 | UV-Net: Learning from Curve-Networks and Solids. | 2020 | 5 |
| 14 | 2020 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2022 | 0 | |
| 20 | 2025 | 0 |
About Pradeep Kumar Jayaraman
Pradeep Kumar Jayaraman is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 21 papers that have together received 301 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (11 papers), Computer Graphics and Visualization Techniques (11 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Vision and Imaging (3 papers), Manufacturing Process and Optimization (3 papers), Advanced Numerical Analysis Techniques (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (89 citations), Industrial and Manufacturing Engineering (82 citations), Geology (44 citations), Computational Mechanics (144 citations) and Computer Vision and Pattern Recognition (134 citations). Pradeep Kumar Jayaraman has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Chi‐Wing Fu, Joseph G. Lambourne, Karl D. D. Willis, Jianmin Zheng, Peng Song, Daniel Cohen‐Or, Hang Chu, Takashi Maekawa, Yewen Pu and Tong‐Yee Lee. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer-Aided Design, ACM Transactions on Graphics, Journal of Computing and Information Science in Engineering and The Visual Computer.
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.