Ralph R. Martin

3.7k total citations · 1 hit paper
44 papers, 2.5k citations indexed

About

Ralph R. Martin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Ralph R. Martin has authored 44 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 24 papers in Computational Mechanics and 12 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Ralph R. Martin's work include 3D Shape Modeling and Analysis (16 papers), Advanced Vision and Imaging (12 papers) and Computer Graphics and Visualization Techniques (10 papers). Ralph R. Martin is often cited by papers focused on 3D Shape Modeling and Analysis (16 papers), Advanced Vision and Imaging (12 papers) and Computer Graphics and Visualization Techniques (10 papers). Ralph R. Martin collaborates with scholars based in United Kingdom, China and United States. Ralph R. Martin's co-authors include Shi‐Min Hu, Ming‐Ming Cheng, Tai‐Jiang Mu, Zheng-Ning Liu, Meng-Hao Guo, Song–Hai Zhang, Jiangjiang Liu, Tian-Xing Xu, Peng-Tao Jiang and Yu‐Kun Lai and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and Pattern Recognition.

In The Last Decade

Ralph R. Martin

41 papers receiving 2.4k citations

Hit Papers

Attention mechanisms in computer vision: A survey 2022 2026 2023 2024 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ralph R. Martin United Kingdom 18 1.2k 516 368 292 251 44 2.5k
Lu Fang China 26 1.6k 1.3× 276 0.5× 309 0.8× 164 0.6× 358 1.4× 188 2.4k
Xianfang Sun United Kingdom 23 1.2k 1.0× 726 1.4× 154 0.4× 453 1.6× 123 0.5× 102 2.2k
Jin Xie China 31 1.9k 1.5× 707 1.4× 427 1.2× 177 0.6× 279 1.1× 117 2.8k
Varun Jampani United States 21 2.4k 1.9× 323 0.6× 717 1.9× 366 1.3× 314 1.3× 65 3.1k
Song–Hai Zhang China 23 2.4k 2.0× 283 0.5× 528 1.4× 321 1.1× 626 2.5× 103 3.7k
Yongming Rao China 29 2.4k 1.9× 828 1.6× 767 2.1× 346 1.2× 325 1.3× 49 3.4k
Tai‐Jiang Mu China 18 1.6k 1.3× 207 0.4× 568 1.5× 107 0.4× 323 1.3× 56 2.8k
Jonathan Masci Switzerland 15 1.9k 1.6× 549 1.1× 1.2k 3.3× 172 0.6× 372 1.5× 26 3.8k
Yee‐Hong Yang Canada 36 2.9k 2.3× 214 0.4× 310 0.8× 337 1.2× 618 2.5× 162 3.7k
Sven Dickinson Canada 30 3.4k 2.7× 783 1.5× 514 1.4× 303 1.0× 418 1.7× 103 4.2k

Countries citing papers authored by Ralph R. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Ralph R. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph R. Martin. 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 Ralph R. Martin. The network helps show where Ralph R. Martin may publish in the future.

Co-authorship network of co-authors of Ralph R. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Ralph R. Martin. A scholar is included among the top collaborators of Ralph R. Martin 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 Ralph R. Martin. Ralph R. Martin 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.
Yang, Tao, Jian Chang, Ming–Chieh Lin, et al.. (2017). A unified particle system framework for multi-phase, multi-material visual simulations. ACM Transactions on Graphics. 36(6). 1–13. 37 indexed citations
2.
Yang, Tao, et al.. (2016). Versatile interactions at interfaces for SPH-based simulations. 57–66. 10 indexed citations
3.
Zhu, Zhe, et al.. (2016). 3D modeling and motion parallax for improved videoconferencing. Computational Visual Media. 2(2). 131–142. 7 indexed citations
4.
Yan, Xiao, et al.. (2016). Multiphase SPH simulation for interactive fluids and solids. ACM Transactions on Graphics. 35(4). 1–11. 57 indexed citations
5.
Liu, Yonghuai, Honghai Liu, Ralph R. Martin, et al.. (2016). Accurately estimating rigid transformations in registration using a boosting-inspired mechanism. Pattern Recognition. 60. 849–862. 6 indexed citations
6.
Zhu, Zhe, et al.. (2016). A Comparative Study of Blending Algorithms for Realtime Panoramic Video Stitching.. 3 indexed citations
7.
Anderson, Stephen, et al.. (2015). Can smart devices assist in geometric model building?. ORCA Online Research @Cardiff (Cardiff University). 1–6.
8.
Sun, Xianfang, et al.. (2015). Canonical Forms for Non-Rigid 3D Shape Retrieval. ORCA Online Research @Cardiff (Cardiff University). 14 indexed citations
9.
Sun, Xianfang, et al.. (2015). Euclidean-distance-based canonical forms for non-rigid 3D shape retrieval. Pattern Recognition. 48(8). 2500–2512. 26 indexed citations
10.
Liu, Yonghuai, L. De Dominicis, Baogang Wei, Liang Chen, & Ralph R. Martin. (2015). Regularization Based Iterative Point Match Weighting for Accurate Rigid Transformation Estimation. IEEE Transactions on Visualization and Computer Graphics. 21(9). 1058–1071. 26 indexed citations
11.
Chen, Yin, et al.. (2015). Realtime Reconstruction of an Animating Human Body from a Single Depth Camera. IEEE Transactions on Visualization and Computer Graphics. 22(8). 2000–2011. 26 indexed citations
12.
Mu, Tai‐Jiang, Jiajia Sun, Ralph R. Martin, & Shi‐Min Hu. (2014). A response time model for abrupt changes in binocular disparity. The Visual Computer. 31(5). 675–687. 12 indexed citations
13.
Hu, Shi‐Min, et al.. (2013). Semiregular Solid Texturing from 2D Image Exemplars. IEEE Transactions on Visualization and Computer Graphics. 19(3). 460–469. 14 indexed citations
14.
Song, Ran, Yonghuai Liu, Ralph R. Martin, & Paul L. Rosin. (2013). 3D point of interest detection via spectral irregularity diffusion. The Visual Computer. 29(6-8). 695–705. 15 indexed citations
15.
Cheng, Zhi‐Quan, Wei Jiang, Ralph R. Martin, et al.. (2010). Non-rigid Registration in 3D Implicit Vector Space. ORCA Online Research @Cardiff. 28. 37–46. 8 indexed citations
16.
Zhang, Song–Hai, et al.. (2009). Video-based running water animation in Chinese painting style. Science in China Series F Information Sciences. 52(2). 162–171. 18 indexed citations
17.
Cheng, Ming‐Ming, et al.. (2009). A Shape‐Preserving Approach to Image Resizing. Computer Graphics Forum. 28(7). 1897–1906. 177 indexed citations
18.
Liu, Xinge, Mei-Lan Tang, & Ralph R. Martin. (2007). Periodic solutions for a kind of Liénard equation. Journal of Computational and Applied Mathematics. 219(1). 263–275. 8 indexed citations
19.
Lynch, Derek H., et al.. (2003). AJA volume 18 issue 3 Front matter. American Journal of Alternative Agriculture. 18(3). f1–f2. 1 indexed citations
20.
Martin, Ralph R., et al.. (1994). A survey of blending methods that use parametric surfaces. Computer-Aided Design. 26(5). 341–365. 79 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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