Kalpathi Subramanian
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Computer Science Applications top 5%
- Artificial Intelligence
- Co-authors
- Bryan S. MorsePenny RheingansT.S. YooTerry S. YooDavid ChenXintao WuJamie PaytonDonald S. Fussell
- Topics
- Teaching and Learning Programming (13 papers)Computer Graphics and Visualization Techniques (9 papers)Advanced Vision and Imaging (9 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Visualization and Computer GraphicsIEEE Computer Graphics and ApplicationsJournal of Parallel and Distributed Computing
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Kalpathi Subramanian
50 papers receiving 557 citations
Peers
Comparison fields: 5 of 89
- Computational Mechanics 225
- Computer Vision and Pattern Recognition 220
- Computer Graphics and Computer-Aided Design 172
- Computer Science Applications 53
- Artificial Intelligence 36
Countries citing papers authored by Kalpathi Subramanian
This map shows the geographic impact of Kalpathi Subramanian'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 Kalpathi Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalpathi Subramanian more than expected).
Fields of papers citing papers by Kalpathi Subramanian
This network shows the impact of papers produced by Kalpathi Subramanian. 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 Kalpathi Subramanian. The network helps show where Kalpathi Subramanian may publish in the future.
Co-authorship network of co-authors of Kalpathi Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Kalpathi Subramanian. A scholar is included among the top collaborators of Kalpathi Subramanian 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 Kalpathi Subramanian. Kalpathi Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 24 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | Interactive analysis of gene interactions using Graphical Gaussian Model | 26 |
| 17 | 0 | |
| 18 | 1 | |
| 19 | The Maratha rajas of Tanjore | 2 |
| 20 | Fast Ray Tracing Using K-d Trees | 12 |
About Kalpathi Subramanian
Kalpathi Subramanian is a scholar working on Computer Graphics and Computer-Aided Design, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 589 indexed citations. Recurring topics across this work include Teaching and Learning Programming (13 papers), Computer Graphics and Visualization Techniques (9 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (172 citations), Computational Mechanics (225 citations) and Computer Vision and Pattern Recognition (220 citations). Kalpathi Subramanian has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Bryan S. Morse, Penny Rheingans, T.S. Yoo, Terry S. Yoo, David Chen, Xintao Wu, Jamie Payton, Donald S. Fussell, Yong Ye and Weiming Liu. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and Journal of Parallel and Distributed Computing.
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.