Ryan Razani
Impact in
- Geology top 2%
- 3D Surveying and Cultural Heritage
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Neural Network Applications 7
- Advanced Image and Video Retrieval Techniques 2
- Visual Attention and Saliency Detection 2
- Human Pose and Action Recognition 2
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- 3D Shape Modeling and Analysis 5
- Co-authors
- Ehsan Taghavi (5 shared papers)Ran Cheng (4 shared papers)Enxu Li (4 shared papers)Bingbing Liu (3 shared papers)Ehsan Nezhadarya (1 shared paper)Bingbing Liu (1 shared paper)Jun Luo (1 shared paper)Yixuan Xu (1 shared paper)
- Journals
- 2022 International Conference on Robotics and Automation (ICRA) (1 paper)PolyPublie (École Polytechnique de Montréal) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
In The Last Decade
Ryan Razani
10 papers receiving 520 citations
Ryan Razani's Hit Papers
Peers
Comparison fields: 5 of 46
- Geology 179
- Computer Graphics and Computer-Aided Design 57
- Environmental Engineering 218
- Computer Vision and Pattern Recognition 299
- Computational Mechanics 271
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 11 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 | (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network Hit paper breakdown → | 2021 | 193 |
| 2 | 2020 | 105 | |
| 3 | 2021 | 58 | |
| 4 | 2021 | 50 | |
| 5 | 2021 | 43 | |
| 6 | 2021 | 40 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 11 | |
| 9 | 2017 | 10 | |
| 10 | 2023 | 10 |
About Ryan Razani
Ryan Razani is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, Environmental Engineering and Computer Graphics and Computer-Aided Design, having authored 10 papers that have together received 534 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), 3D Shape Modeling and Analysis (5 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers), Remote Sensing and LiDAR Applications (2 papers), Visual Attention and Saliency Detection (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Geology (179 citations), Computer Graphics and Computer-Aided Design (57 citations), Environmental Engineering (218 citations), Computer Vision and Pattern Recognition (299 citations) and Computational Mechanics (271 citations). Ryan Razani has collaborated with scholars based in Canada and Sweden. Frequent co-authors include Ehsan Taghavi, Ran Cheng, Enxu Li, Bingbing Liu, Ehsan Nezhadarya, Bingbing Liu, Jun Luo, Yixuan Xu, Benoı̂t Champagne and Vahid Partovi Nia. Their work appears in journals such as 2022 International Conference on Robotics and Automation (ICRA), PolyPublie (École Polytechnique de Montréal) and 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.