Ryan Razani

746 total citations
10 papers, 481 citations indexed

About

Ryan Razani is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Ryan Razani has authored 10 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 3 papers in Aerospace Engineering. Recurrent topics in Ryan Razani's work include Advanced Neural Network Applications (7 papers), 3D Shape Modeling and Analysis (5 papers) and Robotics and Sensor-Based Localization (3 papers). Ryan Razani is often cited by papers focused on Advanced Neural Network Applications (7 papers), 3D Shape Modeling and Analysis (5 papers) and Robotics and Sensor-Based Localization (3 papers). Ryan Razani collaborates with scholars based in Canada and Sweden. Ryan Razani's co-authors include Ehsan Taghavi, Bingbing Liu, Ran Cheng, Enxu Li, Ehsan Nezhadarya, Bingbing Liu, Jun Luo, Yixuan Xu, Yixuan Xu and Vahid Partovi Nia and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Ryan Razani

10 papers receiving 467 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ryan Razani Canada	9	278	243	199	159	137	10	481
Zerong Xi United States	2	214 0.8×	168 0.7×	176 0.9×	114 0.7×	129 0.9×	3	368
Ehsan Taghavi Canada	8	231 0.8×	223 0.9×	182 0.9×	155 1.0×	143 1.0×	10	492
Chaoda Zheng China	7	319 1.1×	405 1.7×	223 1.1×	329 2.1×	67 0.5×	12	656
Jiadai Sun China	11	202 0.7×	143 0.6×	107 0.5×	176 1.1×	160 1.2×	15	398
Jian Dou China	4	177 0.6×	106 0.4×	117 0.6×	88 0.6×	92 0.7×	8	306
Minh-Khoi Tran Singapore	4	289 1.0×	370 1.5×	176 0.9×	316 2.0×	155 1.1×	6	645
Shenman Zhang China	5	194 0.7×	352 1.4×	271 1.4×	335 2.1×	71 0.5×	8	571
Biao Gao China	6	170 0.6×	90 0.4×	115 0.6×	81 0.5×	89 0.6×	9	296
Ji Hou China	4	279 1.0×	310 1.3×	147 0.7×	250 1.6×	145 1.1×	10	495
Jiantao Gao China	8	224 0.8×	115 0.5×	60 0.3×	69 0.4×	77 0.6×	16	329

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-authorship network of co-authors of Ryan Razani

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Razani. A scholar is included among the top collaborators of Ryan Razani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryan Razani. Ryan Razani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Li, Enxu, Ryan Razani, Yixuan Xu, & Bingbing Liu. (2023). CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds. 8239–8245. 10 indexed citations

2.

Li, Enxu, Ryan Razani, Yixuan Xu, & Bingbing Liu. (2022). SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering. 2022 International Conference on Robotics and Automation (ICRA). 9207–9213. 14 indexed citations

3.

Cheng, Ran, et al.. (2021). S3Net: 3D LiDAR Sparse Semantic Segmentation Network. 14040–14046. 34 indexed citations

4.

Razani, Ryan, Ran Cheng, Ehsan Taghavi, & Bingbing Liu. (2021). Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions. 9550–9556. 43 indexed citations

5.

Cheng, Ran, Ryan Razani, Ehsan Taghavi, Enxu Li, & Bingbing Liu. (2021). (AF)²-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network. 12542–12551. 173 indexed citations

6.

Razani, Ryan, et al.. (2021). GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 16056–16065. 39 indexed citations

7.

Razani, Ryan, et al.. (2021). Adaptive Binary-Ternary Quantization. 4608–4613. 10 indexed citations

8.

Razani, Ryan, et al.. (2021). TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module. 9543–9549. 55 indexed citations

9.

Nezhadarya, Ehsan, Ehsan Taghavi, Ryan Razani, Bingbing Liu, & Jun Luo. (2020). Adaptive Hierarchical Down-Sampling for Point Cloud Classification. 12953–12961. 95 indexed citations

10.

Razani, Ryan, et al.. (2017). A reduced complexity MFCC-based deep neural network approach for speech enhancement. 331–336. 8 indexed citations

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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