Juan Rojas

629 total citations
41 papers, 360 citations indexed

About

Juan Rojas is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Juan Rojas has authored 41 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 12 papers in Artificial Intelligence and 10 papers in Mechanical Engineering. Recurrent topics in Juan Rojas's work include Robot Manipulation and Learning (22 papers), Manufacturing Process and Optimization (8 papers) and Modular Robots and Swarm Intelligence (7 papers). Juan Rojas is often cited by papers focused on Robot Manipulation and Learning (22 papers), Manufacturing Process and Optimization (8 papers) and Modular Robots and Swarm Intelligence (7 papers). Juan Rojas collaborates with scholars based in China, Japan and Hong Kong. Juan Rojas's co-authors include Yisheng Guan, Junfa Liu, Hongmin Wu, Kensuke Harada, Kazuyuki Nagata, Hiromu Onda, Haifei Zhu, Richard Alan Peters, Ning Xi and Eiichi Yoshida and has published in prestigious journals such as Applied Sciences, Autonomous Robots and IEEE Robotics and Automation Letters.

In The Last Decade

Juan Rojas

40 papers receiving 343 citations

Peers

Juan Rojas
Thomas Rühr Germany
Daehyung Park United States
Changjiu Zhou Singapore
Adrian Boeing Australia
Yangsheng Xu Hong Kong
Hu Cheng China
Juan Rojas
Citations per year, relative to Juan Rojas Juan Rojas (= 1×) peers David Martínez

Countries citing papers authored by Juan Rojas

Since Specialization
Citations

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

Fields of papers citing papers by Juan Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Rojas

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Rojas. A scholar is included among the top collaborators of Juan Rojas 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 Juan Rojas. Juan Rojas 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.
Rojas, Juan, et al.. (2021). Hyperparameter Auto-Tuning in Self-Supervised Robotic Learning. IEEE Robotics and Automation Letters. 6(2). 3537–3544. 8 indexed citations
2.
Liu, Junfa, et al.. (2021). Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection. 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO). 1441–1447. 22 indexed citations
4.
Guan, Yisheng, et al.. (2020). Visual-Semantic Graph Attention Network for Human-Object Interaction Detection.. arXiv (Cornell University). 1 indexed citations
5.
Wu, Hongmin, et al.. (2019). Dynamic Interaction Probabilistic Movement Primitives. 98–105. 1 indexed citations
6.
Wu, Hongmin, Yisheng Guan, & Juan Rojas. (2019). A Latent State-Based Multimodal Execution Monitor with Anomaly Detection and Classification for Robot Introspection. Applied Sciences. 9(6). 1072–1072. 15 indexed citations
7.
Zhao, Xuan, et al.. (2018). Collaborative Human-Robot Motion Generation Using LSTM-RNN. 1–9. 20 indexed citations
8.
Wu, Hongmin, et al.. (2018). Fast, robust, and versatile event detection through HMM belief state gradient measures. 1–8. 2 indexed citations
9.
10.
Wu, Hongmin, et al.. (2018). Multimodal Sparse Representation for Anomaly Classification in A Robot Introspection System. 1594–1600. 2 indexed citations
11.
Harada, Kensuke, Weiwei Wan, Juan Rojas, et al.. (2017). Motion Analysis for Realizing Robotic Snap Assemblies. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2017(0). 2P1–A03.
12.
Zhu, Haifei, et al.. (2017). Efficient pole detection and grasping for autonomous biped climbing robots. 35. 246–251. 3 indexed citations
13.
Wu, Hongmin, et al.. (2017). Robust and Versatile Event Detection through Gradient-Based Scoring of HMM Models.. 2 indexed citations
14.
Harada, Kensuke, Kazuyuki Nagata, Juan Rojas, et al.. (2016). Proposal of a shape adaptive gripper for robotic assembly tasks. Advanced Robotics. 30(17-18). 1186–1198. 27 indexed citations
15.
Rojas, Juan, et al.. (2014). Cantilever snap assemblies failure detection using SVMs and the RCBHT. 855. 384–389. 6 indexed citations
16.
Rojas, Juan & Richard Alan Peters. (2012). Analysis of autonomous cooperative assembly using coordination schemes by heterogeneous robots using a control basis approach. Autonomous Robots. 32(4). 369–383. 13 indexed citations
17.
Rojas, Juan, Kensuke Harada, Hiromu Onda, et al.. (2012). Gradient calibration for the RCBHT cantilever snap verification system. 984–990. 6 indexed citations
19.
Rojas, Juan & Richard Alan Peters. (2009). Preliminary results in force-guided assembly for teams of heterogeneous robots. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7332. 73320J–73320J. 1 indexed citations
20.
Rojas, Juan, et al.. (1996). <title>Experimental investigation of active machine tool vibration control</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2721. 373–384. 9 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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