Ryan Razani
Impact in
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis
Papers in
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- Advanced Neural Network Applications 8
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- 3D Shape Modeling and Analysis 2
- Co-authors
- Ehsan Taghavi (5 shared papers)Ran Cheng (4 shared papers)Enxu Li (4 shared papers)Bingbing Liu (3 shared papers)Jun Luo (1 shared paper)Ehsan Nezhadarya (1 shared paper)Yixuan Xu (1 shared paper)Benoı̂t Champagne (1 shared paper)
- Journals
- Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (5 papers)IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (2 papers)IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) (1 paper)
In The Last Decade
Ryan Razani
10 papers receiving 564 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 380
- Computational Mechanics 318
- Automotive Engineering 52
- Instrumentation 6
- Geology 15
Countries citing papers authored by Ryan Razani
This map shows the geographic impact of Ryan Razani'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 Ryan Razani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Razani more than expected).
Fields of papers citing papers by Ryan Razani
This network shows the impact of papers produced by Ryan Razani. 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 Ryan Razani. The network helps show where Ryan Razani may publish in the future.
Co-authors
The 10 scholars most cited alongside Ryan Razani, 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 | 2021 | 215 | |
| 2 | 2020 | 109 | |
| 3 | 2021 | 61 | |
| 4 | 2021 | 56 | |
| 5 | 2021 | 46 | |
| 6 | 2021 | 40 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 13 | |
| 9 | 2023 | 13 | |
| 10 | 2017 | 10 |
About Ryan Razani
Ryan Razani is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 579 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), 3D Shape Modeling and Analysis (2 papers) and Speech and Audio Processing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (380 citations), Computational Mechanics (318 citations), Automotive Engineering (52 citations), Instrumentation (6 citations) and Geology (15 citations). Ryan Razani has collaborated with scholars based in Canada and China. Frequent co-authors include Ehsan Taghavi, Ran Cheng, Enxu Li, Bingbing Liu, Jun Luo, Ehsan Nezhadarya, Yixuan Xu, Benoı̂t Champagne, Vahid Partovi Nia and Yixuan Xu. Their work appears in journals such as Proceedings - IEEE International Conference on Robotics and Automation/Proceedings, IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE/CVF International Conference on Computer Vision (ICCV) and IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).
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.