Yawar Siddiqui
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- Computer Graphics and Visualization Techniques 5
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- Advanced Vision and Imaging 4
- Generative Adversarial Networks and Image Synthesis 1
- Computational Mechanics top 10%
- 3D Shape Modeling and Analysis 6
- Advanced Numerical Analysis Techniques 1
- Geology top 10%
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- Modular Robots and Swarm Intelligence 1
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- Innovations in Concrete and Construction Materials 1
- BIM and Construction Integration 1
- Co-authors
- Matthias NießnerSamuel Rota BulòNorman MüllerLorenzo PorziPeter KontschiederAngela DaiSergey TulyakovHsin-Ying Lee
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Yawar Siddiqui
6 papers receiving 225 citations
Peers
Comparison fields: 5 of 33
- Computer Graphics and Computer-Aided Design 132
- Computer Vision and Pattern Recognition 161
- Computational Mechanics 132
- Geology 31
- Industrial and Manufacturing Engineering 9
Countries citing papers authored by Yawar Siddiqui
This map shows the geographic impact of Yawar Siddiqui'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 Yawar Siddiqui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yawar Siddiqui more than expected).
Fields of papers citing papers by Yawar Siddiqui
This network shows the impact of papers produced by Yawar Siddiqui. 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 Yawar Siddiqui. The network helps show where Yawar Siddiqui may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Yawar Siddiqui, 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 | 2024 | 19 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 59 | |
| 5 | 2023 | 69 | |
| 6 | 2023 | 50 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 20 |
About Yawar Siddiqui
Yawar Siddiqui is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Building and Construction and Mechanical Engineering, having authored 8 papers that have together received 235 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (4 papers), Modular Robots and Swarm Intelligence (1 paper), Innovations in Concrete and Construction Materials (1 paper), BIM and Construction Integration (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Advanced Numerical Analysis Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (132 citations), Computer Vision and Pattern Recognition (161 citations), Computational Mechanics (132 citations), Geology (31 citations) and Industrial and Manufacturing Engineering (9 citations). Yawar Siddiqui has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Matthias Nießner, Samuel Rota Bulò, Norman Müller, Lorenzo Porzi, Peter Kontschieder, Angela Dai, Sergey Tulyakov, Hsin-Ying Lee, Justus Thies and Matthias Niesner. Their work appears in journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.