Ayush Tewari

4.3k total citations · 6 hit papers
30 papers, 1.9k citations indexed

About

Ayush Tewari is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Ayush Tewari has authored 30 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 14 papers in Computer Graphics and Computer-Aided Design and 12 papers in Computational Mechanics. Recurrent topics in Ayush Tewari's work include Advanced Vision and Imaging (14 papers), Computer Graphics and Visualization Techniques (14 papers) and Generative Adversarial Networks and Image Synthesis (13 papers). Ayush Tewari is often cited by papers focused on Advanced Vision and Imaging (14 papers), Computer Graphics and Visualization Techniques (14 papers) and Generative Adversarial Networks and Image Synthesis (13 papers). Ayush Tewari collaborates with scholars based in Germany, United States and France. Ayush Tewari's co-authors include Christian Theobalt, Michael Zollhöfer, Florian Bernard, Hyeongwoo Kim, Pablo Garrido, Patrick Pérez, Patrick Pérez, Vladislav Golyanik, Christoph Lassner and Edgar Tretschk and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Ayush Tewari

28 papers receiving 1.9k citations

Hit Papers

Deep video portraits 2018 2026 2020 2023 2018 2021 2020 2022 2023 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ayush Tewari Germany 15 1.7k 658 515 141 129 30 1.9k
Koki Nagano United States 19 1.4k 0.8× 531 0.8× 503 1.0× 104 0.7× 153 1.2× 45 1.7k
Ira Kemelmacher-Shlizerman United States 20 2.1k 1.2× 595 0.9× 367 0.7× 176 1.2× 176 1.4× 34 2.4k
Abhijeet Ghosh United States 27 1.7k 1.0× 610 0.9× 1.0k 2.0× 56 0.4× 67 0.5× 91 2.2k
Kyle Genova United States 11 1.1k 0.6× 621 0.9× 597 1.2× 63 0.4× 162 1.3× 14 1.4k
Amit H. Bermano Israel 19 1.2k 0.7× 269 0.4× 363 0.7× 98 0.7× 174 1.3× 54 1.6k
Graham Fyffe United States 18 1.4k 0.8× 432 0.7× 731 1.4× 89 0.6× 26 0.2× 41 1.6k
Shalini De Mello United States 12 1.1k 0.6× 336 0.5× 349 0.7× 79 0.6× 303 2.3× 27 1.4k
Stephen Lombardi United States 16 1.5k 0.9× 701 1.1× 734 1.4× 124 0.9× 46 0.4× 22 1.8k
Linchao Bao China 19 1.2k 0.7× 169 0.3× 103 0.2× 87 0.6× 62 0.5× 33 1.3k
Menglei Chai United States 20 866 0.5× 520 0.8× 567 1.1× 113 0.8× 53 0.4× 41 1.1k

Countries citing papers authored by Ayush Tewari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ayush Tewari

This figure shows the co-authorship network connecting the top 25 collaborators of Ayush Tewari. A scholar is included among the top collaborators of Ayush Tewari 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 Ayush Tewari. Ayush Tewari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
O’Connell, Thomas, et al.. (2025). Approximating Human-Level 3D Visual Inferences With Deep Neural Networks. Open Mind. 9. 305–324.
3.
Jatavallabhula, Krishna Murthy, Qiao Gu, Ganesh Iyer, et al.. (2023). ConceptFusion: Open-set multimodal 3D mapping. 100 indexed citations breakdown →
4.
5.
Weyrich, Tim, Bernd Bickel, Hanspeter Pfister, et al.. (2023). A Deeper Analysis of Volumetric Relightable Faces. International Journal of Computer Vision. 132(4). 1148–1166. 1 indexed citations
6.
Tewari, Ayush, et al.. (2023). ModalNeRF: Neural Modal Analysis and Synthesis for Free‐Viewpoint Navigation in Dynamically Vibrating Scenes. Computer Graphics Forum. 42(4). 3 indexed citations
7.
Pan, Xingang, Mohamed Elgharib, Ayush Tewari, et al.. (2023). AvatarStudio: Text-Driven Editing of 3D Dynamic Human Head Avatars. ACM Transactions on Graphics. 42(6). 1–18. 16 indexed citations
8.
Tewari, Ayush, et al.. (2022). gCoRF: Generative Compositional Radiance Fields. 33. 567–576. 1 indexed citations
9.
Tewari, Ayush, Justus Thies, Ben Mildenhall, et al.. (2022). Advances in Neural Rendering. Computer Graphics Forum. 41(2). 703–735. 203 indexed citations breakdown →
10.
Pan, Xingang, Ayush Tewari, Lingjie Liu, & Christian Theobalt. (2022). GAN2X: Non-Lambertian Inverse Rendering of Image GANs. 711–721. 6 indexed citations
11.
Tewari, Ayush, Tae-Hyun Oh, Tim Weyrich, et al.. (2021). Monocular Reconstruction of Neural Face Reflectance Fields. UCL Discovery (University College London). 4789–4798. 11 indexed citations
12.
Tretschk, Edgar, Ayush Tewari, Vladislav Golyanik, et al.. (2021). Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12939–12950. 248 indexed citations breakdown →
13.
Habermann, Marc, et al.. (2021). Efficient and Differentiable Shadow Computation for Inverse Problems. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13087–13096. 8 indexed citations
14.
Tewari, Ayush, Tim Weyrich, Bernd Bickel, et al.. (2021). PhotoApp. ACM Transactions on Graphics. 40(4). 1–16. 7 indexed citations
15.
Zhou, Yuxiao, Marc Habermann, Ikhsanul Habibie, et al.. (2021). Monocular Real-time Full Body Capture with Inter-part Correlations. 4809–4820. 42 indexed citations
16.
Tewari, Ayush, Mohamed Elgharib, Gaurav Bharaj, et al.. (2020). StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images. 6141–6150. 219 indexed citations breakdown →
17.
Tewari, Ayush, Mohamed Elgharib, Florian Bernard, et al.. (2020). PIE. ACM Transactions on Graphics. 39(6). 1–14. 94 indexed citations
18.
Tewari, Ayush, Michael Zollhöfer, Florian Bernard, et al.. (2018). High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(2). 357–370. 55 indexed citations
19.
Tewari, Ayush, Michael Zollhöfer, Pablo Garrido, et al.. (2018). Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz. 2549–2559. 158 indexed citations
20.
Tewari, Ayush, et al.. (2014). Bilateral symmetry based approach for joint detection of landmarks in retinal images. 2. 1–6. 2 indexed citations

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.

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