Aayush Bansal
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Computer Graphics and Computer-Aided Design top 10%
- Control and Systems Engineering
- Aerospace Engineering
- Co-authors
- Michael ZollhoeferHernán BadinoSiyu TangDaniel HuberMarko MihajlovićShunsuke SaitoYaser SheikhDeva Ramanan
- Topics
- Visual Attention and Saliency Detection (2 papers)Generative Adversarial Networks and Image Synthesis (2 papers)Advanced Vision and Imaging (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)arXiv (Cornell University)International Surgery Journal
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Aayush Bansal
8 papers receiving 73 citations
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 61
- Computational Mechanics 28
- Computer Graphics and Computer-Aided Design 16
- Control and Systems Engineering 14
- Aerospace Engineering 14
Countries citing papers authored by Aayush Bansal
This map shows the geographic impact of Aayush Bansal'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 Aayush Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aayush Bansal more than expected).
Fields of papers citing papers by Aayush Bansal
This network shows the impact of papers produced by Aayush Bansal. 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 Aayush Bansal. The network helps show where Aayush Bansal may publish in the future.
Co-authorship network of co-authors of Aayush Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Aayush Bansal. A scholar is included among the top collaborators of Aayush Bansal 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 Aayush Bansal. Aayush Bansal 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 | 9 | |
| 3 | 3 | |
| 4 | 31 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | 2 |
About Aayush Bansal
Aayush Bansal is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 9 papers that have together received 81 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (16 citations), Computer Vision and Pattern Recognition (61 citations) and Computational Mechanics (28 citations). Aayush Bansal has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Michael Zollhoefer, Hernán Badino, Siyu Tang, Daniel Huber, Marko Mihajlović, Shunsuke Saito, Yaser Sheikh, Deva Ramanan, Kris Kitani and Lingni Ma. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and International Surgery Journal.
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.