Ali Mahdavi‐Amiri
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- Computer Graphics and Visualization Techniques 16
- Computational Geometry and Mesh Generation 4
- Signal Processing top 10%
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- Generative Adversarial Networks and Image Synthesis 5
- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 4
- Geology top 10%
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- 3D Shape Modeling and Analysis 16
- Advanced Numerical Analysis Techniques 7
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- 3D Modeling in Geospatial Applications 3
- Co-authors
- Faramarz SamavatiHao ZhangNavjot KaurCheng‐Chun LeeAli MostafaviJiayi LiuManolis SavvaAditya Sanghi
- Cited by
- Computer Graphics and Computer-Aided DesignSignal ProcessingGeography, Planning and Development
- Journals
- ACM Transactions on Graphics (4 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Computer Graphics Forum (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Ali Mahdavi‐Amiri
33 papers receiving 459 citations
Peers
Comparison fields: 5 of 72
- Computer Graphics and Computer-Aided Design 144
- Signal Processing 97
- Geography, Planning and Development 46
- Computer Vision and Pattern Recognition 158
- Geology 31
Countries citing papers authored by Ali Mahdavi‐Amiri
This map shows the geographic impact of Ali Mahdavi‐Amiri'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 Mahdavi‐Amiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Mahdavi‐Amiri more than expected).
Fields of papers citing papers by Ali Mahdavi‐Amiri
This network shows the impact of papers produced by Ali Mahdavi‐Amiri. 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 Mahdavi‐Amiri. The network helps show where Ali Mahdavi‐Amiri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ali Mahdavi‐Amiri, 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 | 2024 | 4 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 7 | |
| 11 | Shape Completion via IMLE | 2021 | 1 |
| 12 | 2021 | 19 | |
| 13 | 2020 | 13 | |
| 14 | 2018 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2017 | 11 | |
| 17 | 2016 | 3 | |
| 18 | 2016 | 20 | |
| 19 | 2015 | 1 | |
| 20 | 2015 | 1 |
About Ali Mahdavi‐Amiri
Ali Mahdavi‐Amiri is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 469 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (16 papers), 3D Shape Modeling and Analysis (16 papers), Advanced Numerical Analysis Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Computational Geometry and Mesh Generation (4 papers), Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (4 papers) and 3D Modeling in Geospatial Applications (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (144 citations), Signal Processing (97 citations) and Geography, Planning and Development (46 citations). Ali Mahdavi‐Amiri has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Faramarz Samavati, Hao Zhang, Navjot Kaur, Cheng‐Chun Lee, Ali Mostafavi, Jiayi Liu, Manolis Savva, Aditya Sanghi, Daniel Cohen‐Or and Manyi Li. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics 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.