Ray Jarvis

1.4k total citations
43 papers, 896 citations indexed

About

Ray Jarvis is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Ray Jarvis has authored 43 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 26 papers in Aerospace Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Ray Jarvis's work include Robotics and Sensor-Based Localization (24 papers), Robotic Path Planning Algorithms (19 papers) and Advanced Vision and Imaging (7 papers). Ray Jarvis is often cited by papers focused on Robotics and Sensor-Based Localization (24 papers), Robotic Path Planning Algorithms (19 papers) and Advanced Vision and Imaging (7 papers). Ray Jarvis collaborates with scholars based in Australia, United States and China. Ray Jarvis's co-authors include Chin Seng Chua, Punarjay Chakravarty, Chengqi Zhang, Zhi Li, Mohamed Al-Marzouqi, Zhi Li, David Rawlinson, Zhi Li, Zhi Li and David Suter and has published in prestigious journals such as International Journal of Computer Vision, The International Journal of Robotics Research and Robotics and Autonomous Systems.

In The Last Decade

Ray Jarvis

43 papers receiving 846 citations

Peers

Ray Jarvis
Kejie Li China
Suat Gedikli Germany
Sungjoon Choi South Korea
R. R. Martin United Kingdom
Gary K.L. Tam United Kingdom
Michael Krainin United States
Peter Rander United States
Kejie Li China
Ray Jarvis
Citations per year, relative to Ray Jarvis Ray Jarvis (= 1×) peers Kejie Li

Countries citing papers authored by Ray Jarvis

Since Specialization
Citations

This map shows the geographic impact of Ray Jarvis'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 Ray Jarvis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray Jarvis more than expected).

Fields of papers citing papers by Ray Jarvis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray Jarvis. 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 Ray Jarvis. The network helps show where Ray Jarvis may publish in the future.

Co-authorship network of co-authors of Ray Jarvis

This figure shows the co-authorship network connecting the top 25 collaborators of Ray Jarvis. A scholar is included among the top collaborators of Ray Jarvis 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 Ray Jarvis. Ray Jarvis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Li, Zhi & Ray Jarvis. (2010). Visual interpretation of natural pointing gestures in 3D space for human-robot interaction. 2513–2518. 13 indexed citations
3.
Jarvis, Ray, et al.. (2010). 3D shape recovery by superquadrics model using object Silhouettes and stereo disparity. 1. 82–89. 1 indexed citations
4.
Jarvis, Ray. (2009). A semi-autonomous robotic walk-chair. 33–37. 1 indexed citations
5.
Jarvis, Ray, et al.. (2008). An Omnidirectional Vision System for Outdoor Mobile Robots. 273–284. 2 indexed citations
6.
Jarvis, Ray, et al.. (2007). Large Scale 3D Environmental Modelling for Stereoscopic Walk-Through Visualisation. 5. 1–4. 10 indexed citations
7.
Chakravarty, Punarjay & Ray Jarvis. (2006). Panoramic Vision and Laser Range Finder Fusion for Multiple Person Tracking. 2949–2954. 31 indexed citations
8.
Rawlinson, David & Ray Jarvis. (2006). Simple yet Effective Visuo-Spatial Topological Mapping. 1. 2766–2771. 2 indexed citations
9.
Jarvis, Ray, et al.. (2003). Robotic path planning using rapidly exploring random trees. 1–5. 3 indexed citations
10.
Jarvis, Ray, et al.. (2003). Short-safe compromise path for mobile robot navigation in a dynamic unknown environment. 1–8. 3 indexed citations
11.
Jarvis, Ray, et al.. (2002). 3D Vision for Large-Scale Outdoor Environments. 228–233. 6 indexed citations
12.
Jarvis, Ray. (2002). An articulated six wheel drive robot for very rough terrain navigation. 133–138. 6 indexed citations
13.
Jarvis, Ray. (2002). A 'go where you are looking' semi-autonomous rough terrain robotic wheelchair. 1–5. 2 indexed citations
14.
Jarvis, Ray. (2000). Intelligent sensor based road vehicle driver assistance. 173–178. 2 indexed citations
15.
Jarvis, Ray, et al.. (2000). Object recognition via attributed graph matching. 117–122. 3 indexed citations
16.
Chua, Chin Seng & Ray Jarvis. (1997). Point Signatures: A New Representation for 3D Object Recognition. International Journal of Computer Vision. 25(1). 63–85. 418 indexed citations
17.
Chua, Chin Seng & Ray Jarvis. (1996). 3D free-form surface registration and object recognition. International Journal of Computer Vision. 17(1). 77–99. 142 indexed citations
18.
Jarvis, Ray. (1995). An All-Terrain Intelligent Autonomous Vehicle with Sensor Fusion Based Navigation Capabilities. IFAC Proceedings Volumes. 28(11). 25–31. 7 indexed citations
19.
Bab‐Hadiashar, Alireza, David Suter, & Ray Jarvis. (1995). <title>2D motion extraction using an image interpolation technique</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2564. 271–281. 4 indexed citations
20.
Jarvis, Ray. (1994). Video plane robot swarms. Robotics and Computer-Integrated Manufacturing. 11(4). 249–258. 1 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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