Ryan Razani

746 citations
10 papers · 481 indexed · h-index 9

Impact in

Papers in

Journals
2022 International Conference on Robotics and Automation (ICRA) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
Partner nations
CanadaSweden

In The Last Decade

Ryan Razani

10 papers receiving 467 citations

Peers

Ryan Razani
Comparison fields: 5 of 45
  • Geology 159
  • Computer Graphics and Computer-Aided Design 52
  • Environmental Engineering 199
  • Computer Vision and Pattern Recognition 278
  • Computational Mechanics 243
Replace Ehsan Taghavi with:
Ehsan Taghavi Canada
Zerong Xi United States
Jiadai Sun China
Chaoda Zheng China
Jian Dou China
Minh-Khoi Tran Singapore
Biao Gao China
Shenman Zhang China
Jiantao Gao China
Ji Hou China
Ryan Razani relative to Ehsan Taghavi Canada Ehsan Taghavi's profile →
Citations per field
00.5×1.5×
Ehsan Taghavi · 1×
Citations per year

Countries citing papers authored by Ryan Razani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ryan Razani Line = papers co-authored together Ryan Razani links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2021173
2 202095
3 202155
4 202143
5 202139
6 202134
7 202214
8 202310
9 202110
10 20178

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 481 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), Computer Graphics and Visualization Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Remote Sensing and LiDAR Applications (2 papers), Human Pose and Action Recognition (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Geology (159 citations), Computer Graphics and Computer-Aided Design (52 citations), Environmental Engineering (199 citations), Computer Vision and Pattern Recognition (278 citations) and Computational Mechanics (243 citations). Ryan Razani has collaborated with scholars based in Canada and Sweden. Frequent co-authors include Ehsan Taghavi, Bingbing Liu, Ran Cheng, Enxu Li, Jun Luo, Ehsan Nezhadarya, Bingbing Liu, Yixuan Xu, Yixuan Xu and Vahid Partovi Nia. Their work appears in journals such as 2022 International Conference on Robotics and Automation (ICRA) 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.

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