Kripasindhu Sarkar
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Control and Systems Engineering top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Christian TheobaltLingjie LiuJiatao GuViktor RudnevMarc HabermannDidier StrickerKiran VaranasiVladislav Golyanik
- Topics
- Advanced Vision and Imaging (11 papers)3D Shape Modeling and Analysis (8 papers)Human Pose and Action Recognition (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- ACM Transactions on GraphicsComputer Graphics Forum2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kripasindhu Sarkar
22 papers receiving 364 citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 311
- Computational Mechanics 207
- Computer Graphics and Computer-Aided Design 129
- Control and Systems Engineering 85
- Human-Computer Interaction 30
Countries citing papers authored by Kripasindhu Sarkar
This map shows the geographic impact of Kripasindhu Sarkar'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 Kripasindhu Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kripasindhu Sarkar more than expected).
Fields of papers citing papers by Kripasindhu Sarkar
This network shows the impact of papers produced by Kripasindhu Sarkar. 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 Kripasindhu Sarkar. The network helps show where Kripasindhu Sarkar may publish in the future.
Co-authorship network of co-authors of Kripasindhu Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Kripasindhu Sarkar. A scholar is included among the top collaborators of Kripasindhu Sarkar 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 Kripasindhu Sarkar. Kripasindhu Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 18 | |
| 8 | 24 | |
| 9 | 17 | |
| 10 | 38 | |
| 11 | 9 | |
| 12 | 33 | |
| 13 | Neural actorbreakdown → | 167 |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 1 |
About Kripasindhu Sarkar
Kripasindhu Sarkar is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 22 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), 3D Shape Modeling and Analysis (8 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (129 citations), Computer Vision and Pattern Recognition (311 citations) and Computational Mechanics (207 citations). Kripasindhu Sarkar has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christian Theobalt, Lingjie Liu, Jiatao Gu, Viktor Rudnev, Marc Habermann, Didier Stricker, Kiran Varanasi, Vladislav Golyanik, Jian Wang and Diogo Luvizon. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.