Timothy Patten

721 total citations
28 papers, 439 citations indexed

About

Timothy Patten is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Timothy Patten has authored 28 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 18 papers in Aerospace Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Timothy Patten's work include Robotics and Sensor-Based Localization (18 papers), Robot Manipulation and Learning (10 papers) and Robotic Path Planning Algorithms (5 papers). Timothy Patten is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Robot Manipulation and Learning (10 papers) and Robotic Path Planning Algorithms (5 papers). Timothy Patten collaborates with scholars based in Austria, Australia and United States. Timothy Patten's co-authors include Markus Vincze, Robert Fitch, Graeme Best, Oliver M. Cliff, Ramgopal R. Mettu, Johann Prankl, Christopher Rennie, P. A. Robinson, Pulin Gong and Salah Sukkarieh and has published in prestigious journals such as PLoS ONE, The International Journal of Robotics Research and Autonomous Robots.

In The Last Decade

Timothy Patten

27 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy Patten Austria 11 214 135 113 101 71 28 439
Ulf Witkowski Germany 11 131 0.6× 84 0.6× 103 0.9× 61 0.6× 134 1.9× 64 442
Marvin K. Bugeja Malta 8 107 0.5× 45 0.3× 52 0.5× 213 2.1× 50 0.7× 35 369
Francisco Blanes Spain 9 141 0.7× 101 0.7× 62 0.5× 96 1.0× 121 1.7× 50 448
Celso De La Cruz Argentina 9 194 0.9× 87 0.6× 35 0.3× 222 2.2× 100 1.4× 27 478
Eduardo Oliveira Freire Brazil 11 242 1.1× 113 0.8× 43 0.4× 160 1.6× 48 0.7× 61 440
Leonard Bauersfeld Switzerland 10 233 1.1× 259 1.9× 135 1.2× 208 2.1× 62 0.9× 18 648
Kazuyuki Morioka Japan 13 366 1.7× 197 1.5× 82 0.7× 190 1.9× 55 0.8× 75 585
Emmanuel Mazer France 12 360 1.7× 170 1.3× 210 1.9× 329 3.3× 42 0.6× 31 654
Haris Baltzakis Greece 13 369 1.7× 147 1.1× 115 1.0× 87 0.9× 31 0.4× 26 519
Ruilong Zhang China 9 75 0.4× 107 0.8× 66 0.6× 98 1.0× 118 1.7× 24 523

Countries citing papers authored by Timothy Patten

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Patten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Patten

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Patten. A scholar is included among the top collaborators of Timothy Patten 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 Timothy Patten. Timothy Patten 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.
Patten, Timothy, et al.. (2023). 3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision. 9162–9168. 6 indexed citations
2.
Thalhammer, Stefan, Timothy Patten, & Markus Vincze. (2023). COPE: End-to-end trainable Constant Runtime Object Pose Estimation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2859–2869. 8 indexed citations
3.
Patten, Timothy, et al.. (2022). Robust Sim2Real 3D Object Classification Using Graph Representations and a Deep Center Voting Scheme. IEEE Robotics and Automation Letters. 7(3). 8028–8035. 3 indexed citations
4.
Patten, Timothy, et al.. (2022). SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 196–204. 4 indexed citations
5.
Patten, Timothy, et al.. (2022). Where Does It Belong? Autonomous Object Mapping in Open-World Settings. Frontiers in Robotics and AI. 9. 828732–828732.
6.
Patten, Timothy, Diego R. Faria, Fulvio Mastrogiovanni, et al.. (2021). Hand-Object Interaction: From Human Demonstrations to Robot Manipulation. Frontiers in Robotics and AI. 8. 714023–714023. 13 indexed citations
7.
Patten, Timothy, et al.. (2021). Object Learning for 6D Pose Estimation and Grasping from RGB-D Videos of In-hand Manipulation. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4831–4838. 2 indexed citations
8.
Vincze, Markus, et al.. (2020). Learn, detect, and grasp objects in real-world settings. e+i Elektrotechnik und Informationstechnik. 137(6). 324–330. 3 indexed citations
9.
Patten, Timothy, et al.. (2020). In the Depths of Hyponymy: A Step Towards Lifelong Learning. 103–109. 1 indexed citations
10.
Patten, Timothy, et al.. (2020). DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic Grasping. Frontiers in Robotics and AI. 7. 120–120. 24 indexed citations
11.
Patten, Timothy, et al.. (2019). Multi-Task Template Matching for Object Detection, Segmentation and Pose Estimation Using Depth Images. 7207–7213. 38 indexed citations
12.
Prankl, Johann, et al.. (2019). ScalableFusion: High-resolution Mesh-based Real-time 3D Reconstruction. 140–146. 13 indexed citations
13.
Patten, Timothy, et al.. (2019). Robust 3D Object Classification by Combining Point Pair Features and Graph Convolution. 12. 7262–7268. 4 indexed citations
14.
Best, Graeme, Oliver M. Cliff, Timothy Patten, Ramgopal R. Mettu, & Robert Fitch. (2018). Dec-MCTS: Decentralized planning for multi-robot active perception. The International Journal of Robotics Research. 38(2-3). 316–337. 126 indexed citations
15.
Patten, Timothy, et al.. (2018). Towards Socially Assistive Robots for Elderly: An End-to-end Object Search Framework. 29. 890–895. 3 indexed citations
16.
Patten, Timothy, et al.. (2017). Monte Carlo planning for active object classification. Autonomous Robots. 42(2). 391–421. 31 indexed citations
17.
Patten, Timothy. (2016). Active Object Classification from 3D Range Data with Mobile Robots. The Sydney eScholarship Repository (The University of Sydney). 5 indexed citations
18.
Patten, Timothy, et al.. (2015). A Bayesian Approach for Time-Constrained 3D Outdoor Object Recognition. 3 indexed citations
19.
Patten, Timothy, Robert Fitch, & Salah Sukkarieh. (2013). Large-Scale Near-Optimal Decentralised Information Gathering with Multiple Mobile Robots. UTS ePRESS (University of Technology Sydney). 7 indexed citations
20.
Patten, Timothy, Christopher Rennie, P. A. Robinson, & Pulin Gong. (2012). Human Cortical Traveling Waves: Dynamical Properties and Correlations with Responses. PLoS ONE. 7(6). e38392–e38392. 50 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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