Ali Thabet

3.7k total citations · 2 hit papers
26 papers, 1.6k citations indexed

About

Ali Thabet is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Ali Thabet has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 8 papers in Artificial Intelligence. Recurrent topics in Ali Thabet's work include 3D Shape Modeling and Analysis (8 papers), Advanced Neural Network Applications (4 papers) and Human Pose and Action Recognition (4 papers). Ali Thabet is often cited by papers focused on 3D Shape Modeling and Analysis (8 papers), Advanced Neural Network Applications (4 papers) and Human Pose and Action Recognition (4 papers). Ali Thabet collaborates with scholars based in Saudi Arabia, Russia and United Kingdom. Ali Thabet's co-authors include Bernard Ghanem, Guohao Li, Matthias Müller, Guocheng Qian, Chen Zhao, Matthias Mueller, Fabian Caba Heilbron, Artsiom Sanakoyeu, Albert Pumarola and Humam Alwassel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the Combustion Institute and Computer Graphics Forum.

In The Last Decade

Ali Thabet

23 papers receiving 1.5k citations

Hit Papers

DeepGCNs: Can GCNs Go As Deep As CNNs? 2019 2026 2021 2023 2019 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Thabet Saudi Arabia 13 709 643 348 250 184 26 1.6k
Haoxuan You United States 11 822 1.2× 839 1.3× 342 1.0× 171 0.7× 71 0.4× 17 1.7k
Zizhao Zhang China 9 736 1.0× 840 1.3× 390 1.1× 224 0.9× 95 0.5× 13 1.9k
Changqing Zou China 20 959 1.4× 497 0.8× 295 0.8× 157 0.6× 62 0.3× 63 1.5k
Yifan Feng China 10 857 1.2× 1.0k 1.6× 446 1.3× 261 1.0× 121 0.7× 29 2.2k
Xinchen Yan United States 9 1.1k 1.6× 615 1.0× 322 0.9× 112 0.4× 82 0.4× 14 2.0k
Weizhi Nie China 27 1.7k 2.4× 671 1.0× 589 1.7× 177 0.7× 47 0.3× 153 2.4k
Xuequan Lu Australia 23 924 1.3× 540 0.8× 479 1.4× 196 0.8× 146 0.8× 125 1.7k
Dacheng Tao Australia 19 2.1k 2.9× 655 1.0× 303 0.9× 72 0.3× 60 0.3× 26 2.6k
Renjie Liao Canada 20 1.6k 2.3× 461 0.7× 97 0.3× 71 0.3× 60 0.3× 46 2.2k

Countries citing papers authored by Ali Thabet

Since Specialization
Citations

This map shows the geographic impact of Ali Thabet'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 Ali Thabet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Thabet more than expected).

Fields of papers citing papers by Ali Thabet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Thabet. 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 Ali Thabet. The network helps show where Ali Thabet may publish in the future.

Co-authorship network of co-authors of Ali Thabet

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Thabet. A scholar is included among the top collaborators of Ali Thabet 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 Ali Thabet. Ali Thabet 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.
Kim, Yeongmin, Yuming Du, Jonas Köhler, et al.. (2025). Autoregressive Distillation of Diffusion Transformers. 15745–15756.
2.
Pérez, Juan C., Thu Nguyen-Phuoc, Chen Cao, et al.. (2024). StyleAvatar: Stylizing Animatable Head Avatars. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 8663–8672. 1 indexed citations
3.
Li, Guohao, et al.. (2023). DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–12. 14 indexed citations
4.
Pérez, Juan C., et al.. (2023). Towards Characterizing the Semantic Robustness of Face Recognition. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 315–325. 3 indexed citations
5.
Rojas, Sara, Juan C. Pérez, Artsiom Sanakoyeu, et al.. (2023). Re-ReND: Real-time Rendering of NeRFs across Devices. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 3609–3618. 7 indexed citations
6.
Li, Guohao, et al.. (2022). LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks. arXiv (Cornell University). 40. 1–11. 3 indexed citations
7.
Pérez, Juan C., et al.. (2022). Combating Adversaries with Anti-adversaries. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6). 5992–6000. 10 indexed citations
8.
Thabet, Ali, et al.. (2021). MAIN: Multi-Attention Instance Network for video segmentation. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).
9.
Li, Guohao, et al.. (2021). DeepGCNs: Making GCNs Go as Deep as CNNs. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 6923–6939. 130 indexed citations
10.
Fu, Qiang, et al.. (2021). Transfer Deep Learning for Reconfigurable Snapshot HDR Imaging Using Coded Masks. Computer Graphics Forum. 40(6). 90–103. 3 indexed citations
11.
Qian, Guocheng, et al.. (2021). PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 11678–11687. 151 indexed citations breakdown →
12.
Zhao, Chen, Ali Thabet, & Bernard Ghanem. (2021). Video Self-Stitching Graph Network for Temporal Action Localization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13638–13647. 88 indexed citations
13.
Thabet, Ali, Humam Alwassel, & Bernard Ghanem. (2020). Self-Supervised Learning of Local Features in 3D Point Clouds. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 4048–4052. 29 indexed citations
14.
Li, Guohao, et al.. (2020). SGAS: Sequential Greedy Architecture Search. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1617–1627. 122 indexed citations
15.
Thabet, Ali, et al.. (2020). Using deep neural networks to diagnose engine pre-ignition. Proceedings of the Combustion Institute. 38(4). 5915–5922. 14 indexed citations
16.
Li, Guohao, Matthias Müller, Ali Thabet, & Bernard Ghanem. (2019). Can GCNs Go as Deep as CNNs. arXiv (Cornell University). 22 indexed citations
17.
Li, Guohao, Matthias Müller, Ali Thabet, & Bernard Ghanem. (2019). DeepGCNs: Can GCNs Go As Deep As CNNs?. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 9266–9275. 832 indexed citations breakdown →
18.
Ghanem, Bernard, Ali Thabet, Juan Carlos Niebles, & Fabian Caba Heilbron. (2015). Robust Manhattan Frame estimation from a single RGB-D image. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 3772–3780. 26 indexed citations
19.
Thabet, Ali, Emanuele Trucco, Joaquím Salví, Weijie Wang, & Rami Abboud. (2014). Dynamic 3D shape of the plantar surface of the foot using coded structured light: a technical report. Journal of Foot and Ankle Research. 7(1). 5–5. 12 indexed citations
20.
Thabet, Ali, Emanuele Trucco, Joaquím Salví, Weijie Wang, & Rami Abboud. (2011). A dynamic 3D foot reconstruction system. PubMed. 41. 599–602. 3 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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