Ali Thabet
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Computational Mechanics top 5%
- Geology top 2%
- Environmental Engineering top 5%
- Co-authors
- Bernard GhanemGuohao LiMatthias MüllerGuocheng QianChen ZhaoMatthias MuellerFabian Caba HeilbronArtsiom Sanakoyeu
- Topics
- 3D Shape Modeling and Analysis (8 papers)Advanced Neural Network Applications (4 papers)Human Pose and Action Recognition (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the Combustion InstituteComputer Graphics Forum
- Partner nations
- Saudi ArabiaRussiaUnited Kingdom
In The Last Decade
Ali Thabet
23 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 709
- Artificial Intelligence 643
- Computational Mechanics 348
- Geology 250
- Environmental Engineering 184
Countries citing papers authored by Ali Thabet
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 130 | |
| 10 | 3 | |
| 11 | PU-GCN: Point Cloud Upsampling using Graph Convolutional Networksbreakdown → | 151 |
| 12 | 88 | |
| 13 | 29 | |
| 14 | 122 | |
| 15 | 14 | |
| 16 | Can GCNs Go as Deep as CNNs | 22 |
| 17 | DeepGCNs: Can GCNs Go As Deep As CNNs?breakdown → | 832 |
| 18 | 26 | |
| 19 | 12 | |
| 20 | 3 |
About Ali Thabet
Ali Thabet is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (8 papers), Advanced Neural Network Applications (4 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Geology (250 citations), Computer Graphics and Computer-Aided Design (129 citations) and Computer Vision and Pattern Recognition (709 citations). Ali Thabet has collaborated with scholars based in Saudi Arabia, Russia and United Kingdom. Frequent 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. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the Combustion Institute and Computer Graphics Forum.
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.