Parag Chaudhuri
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Control and Systems Engineering
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Nadia Magnenat‐ThalmannMaher Ben MoussaPrem KalraMark CarmanSubhashis BanerjeeGanesh RamakrishnanSharat ChandranSanchali Das
- Topics
- Computer Graphics and Visualization Techniques (15 papers)3D Shape Modeling and Analysis (15 papers)Human Motion and Animation (14 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Visualization and Computer GraphicsComputer Graphics Forum
- Partner nations
- IndiaSwitzerlandItaly
In The Last Decade
Parag Chaudhuri
31 papers receiving 183 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 94
- Computational Mechanics 58
- Control and Systems Engineering 52
- Artificial Intelligence 51
- Computer Graphics and Computer-Aided Design 48
Countries citing papers authored by Parag Chaudhuri
This map shows the geographic impact of Parag Chaudhuri'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 Parag Chaudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parag Chaudhuri more than expected).
Fields of papers citing papers by Parag Chaudhuri
This network shows the impact of papers produced by Parag Chaudhuri. 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 Parag Chaudhuri. The network helps show where Parag Chaudhuri may publish in the future.
Co-authorship network of co-authors of Parag Chaudhuri
This figure shows the co-authorship network connecting the top 25 collaborators of Parag Chaudhuri. A scholar is included among the top collaborators of Parag Chaudhuri 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 Parag Chaudhuri. Parag Chaudhuri 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 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 18 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 49 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 6 |
About Parag Chaudhuri
Parag Chaudhuri is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 195 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (15 papers), 3D Shape Modeling and Analysis (15 papers) and Human Motion and Animation (14 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (48 citations), Human-Computer Interaction (29 citations) and Computer Vision and Pattern Recognition (94 citations). Parag Chaudhuri has collaborated with scholars based in India, Switzerland and Italy. Frequent co-authors include Nadia Magnenat‐Thalmann, Maher Ben Moussa, Prem Kalra, Mark Carman, Subhashis Banerjee, Ganesh Ramakrishnan, Sharat Chandran, Sanchali Das, George Papagiannakis and Kumar Ayush. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.
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.