Ayush Tewari
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- Computer Graphics and Visualization Techniques 14
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- Advanced Vision and Imaging 14
- Generative Adversarial Networks and Image Synthesis 13
- Face recognition and analysis 12
- Advanced Image Processing Techniques 6
- Computational Mechanics top 1%
- 3D Shape Modeling and Analysis 12
- Signal Processing top 5%
- Geology top 10%
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- Retinal Imaging and Analysis 1
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- Geographic Information Systems Studies 1
- Co-authors
- Christian TheobaltMichael ZollhöferFlorian BernardHyeongwoo KimPablo GarridoPatrick PérezVladislav GolyanikChristoph Lassner
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Ayush Tewari
28 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Graphics and Computer-Aided Design 515
- Computer Vision and Pattern Recognition 1.7k
- Computational Mechanics 658
- Signal Processing 107
- Geology 55
Countries citing papers authored by Ayush Tewari
This map shows the geographic impact of Ayush Tewari'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 Ayush Tewari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayush Tewari more than expected).
Fields of papers citing papers by Ayush Tewari
This network shows the impact of papers produced by Ayush Tewari. 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 Ayush Tewari. The network helps show where Ayush Tewari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ayush Tewari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | ConceptFusion: Open-set multimodal 3D mappingbreakdown → | 2023 | 100 |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 1 | |
| 9 | Advances in Neural Renderingbreakdown → | 2022 | 203 |
| 10 | 2022 | 6 | |
| 11 | 2021 | 11 | |
| 12 | Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Videobreakdown → | 2021 | 248 |
| 13 | 2021 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 42 | |
| 16 | StyleRig: Rigging StyleGAN for 3D Control Over Portrait Imagesbreakdown → | 2020 | 219 |
| 17 | 2020 | 94 | |
| 18 | 2018 | 55 | |
| 19 | 2018 | 158 | |
| 20 | 2014 | 2 |
About Ayush Tewari
Ayush Tewari is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Computer Graphics and Visualization Techniques (14 papers), Generative Adversarial Networks and Image Synthesis (13 papers), Face recognition and analysis (12 papers), 3D Shape Modeling and Analysis (12 papers), Advanced Image Processing Techniques (6 papers), Retinal Imaging and Analysis (1 paper) and Geographic Information Systems Studies (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (515 citations), Computer Vision and Pattern Recognition (1.7k citations) and Computational Mechanics (658 citations). Ayush Tewari has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Christian Theobalt, Michael Zollhöfer, Florian Bernard, Hyeongwoo Kim, Pablo Garrido, Patrick Pérez, Patrick Pérez, Vladislav Golyanik, Christoph Lassner and Edgar Tretschk.
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.