Karinne Ramírez-Amaro

863 total citations
37 papers, 627 citations indexed

About

Karinne Ramírez-Amaro is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Karinne Ramírez-Amaro has authored 37 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 13 papers in Control and Systems Engineering. Recurrent topics in Karinne Ramírez-Amaro's work include Robot Manipulation and Learning (13 papers), Human Pose and Action Recognition (13 papers) and AI-based Problem Solving and Planning (7 papers). Karinne Ramírez-Amaro is often cited by papers focused on Robot Manipulation and Learning (13 papers), Human Pose and Action Recognition (13 papers) and AI-based Problem Solving and Planning (7 papers). Karinne Ramírez-Amaro collaborates with scholars based in Germany, Sweden and Japan. Karinne Ramírez-Amaro's co-authors include Gordon Cheng, Michael Beetz, Emmanuel Dean‐Leon, Florian Bergner, Tetsunari Inamura, Agnieszka Wykowska, David Weikersdorfer, Marion Leibold, Michael Ulbrich and Sebastian Albrecht and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Industrial Informatics and Robotics and Autonomous Systems.

In The Last Decade

Karinne Ramírez-Amaro

35 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karinne Ramírez-Amaro Germany 16 332 263 196 108 84 37 627
Rudolf Lioutikov Germany 15 471 1.4× 184 0.7× 271 1.4× 155 1.4× 50 0.6× 24 661
Harish Ravichandar United States 12 446 1.3× 165 0.6× 253 1.3× 138 1.3× 57 0.7× 34 721
Marco Ewerton Germany 12 374 1.1× 122 0.5× 176 0.9× 122 1.1× 45 0.5× 22 512
Jim Mainprice United States 9 330 1.0× 173 0.7× 97 0.5× 103 1.0× 60 0.7× 15 495
Alexis Maldonado Germany 13 243 0.7× 197 0.7× 135 0.7× 102 0.9× 65 0.8× 20 516
Matteo Saveriano Italy 13 391 1.2× 191 0.7× 161 0.8× 158 1.5× 70 0.8× 65 609
Sumit Kumar Das United States 13 138 0.4× 154 0.6× 101 0.5× 84 0.8× 64 0.8× 41 573
Alexandros Paraschos Germany 12 506 1.5× 162 0.6× 321 1.6× 183 1.7× 56 0.7× 19 658
Akansel Cosgun Australia 13 289 0.9× 252 1.0× 133 0.7× 86 0.8× 101 1.2× 43 672
Junpei Zhong United Kingdom 14 162 0.5× 172 0.7× 158 0.8× 111 1.0× 61 0.7× 64 534

Countries citing papers authored by Karinne Ramírez-Amaro

Since Specialization
Citations

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

Fields of papers citing papers by Karinne Ramírez-Amaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karinne Ramírez-Amaro. 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 Karinne Ramírez-Amaro. The network helps show where Karinne Ramírez-Amaro may publish in the future.

Co-authorship network of co-authors of Karinne Ramírez-Amaro

This figure shows the co-authorship network connecting the top 25 collaborators of Karinne Ramírez-Amaro. A scholar is included among the top collaborators of Karinne Ramírez-Amaro 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 Karinne Ramírez-Amaro. Karinne Ramírez-Amaro 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.
Zhang, Jing, Emmanuel Dean‐Leon, & Karinne Ramírez-Amaro. (2024). Hierarchical Reinforcement Learning Based on Planning Operators *. Chalmers Research (Chalmers University of Technology). 2006–2012. 2 indexed citations
3.
Paxton, Chris, et al.. (2021). Automated Generation of Robotic Planning Domains from Observations. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6732–6738. 22 indexed citations
4.
Plopski, Alexander, et al.. (2020). Augmented Reality interface to verify Robot Learning. Chalmers Research (Chalmers University of Technology). 378–383. 10 indexed citations
5.
Dean‐Leon, Emmanuel, et al.. (2017). Integration of Robotic Technologies for Rapidly Deployable Robots. IEEE Transactions on Industrial Informatics. 14(4). 1691–1700. 40 indexed citations
6.
Ramírez-Amaro, Karinne, et al.. (2017). Added Value of Gaze-Exploiting Semantic Representation to Allow Robots Inferring Human Behaviors. ACM Transactions on Interactive Intelligent Systems. 7(1). 1–30. 12 indexed citations
7.
Ramírez-Amaro, Karinne, et al.. (2016). General recognition models capable of integrating multiple sensors for different domains. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 178. 306–311. 5 indexed citations
8.
Dean‐Leon, Emmanuel, Florian Bergner, Karinne Ramírez-Amaro, & Gordon Cheng. (2016). From multi-modal tactile signals to a compliant control. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 892–898. 15 indexed citations
9.
Ramírez-Amaro, Karinne, et al.. (2016). Extracting general task structures to accelerate the learning of new tasks. 10. 802–807. 10 indexed citations
10.
Ramírez-Amaro, Karinne, Michael Beetz, & Gordon Cheng. (2015). Transferring skills to humanoid robots by extracting semantic representations from observations of human activities. Artificial Intelligence. 247. 95–118. 90 indexed citations
11.
Ramírez-Amaro, Karinne, Michael Beetz, & Gordon Cheng. (2015). Understanding the intention of human activities through semantic perception: observation, understanding and execution on a humanoid robot. Advanced Robotics. 29(5). 345–362. 36 indexed citations
12.
Ramírez-Amaro, Karinne, Tetsunari Inamura, Emmanuel Dean‐Leon, Michael Beetz, & Gordon Cheng. (2014). Bootstrapping humanoid robot skills by extracting semantic representations of human-like activities from virtual reality. 438–443. 14 indexed citations
13.
Ramírez-Amaro, Karinne, Michael Beetz, & Gordon Cheng. (2014). Automatic segmentation and recognition of human activities from observation based on semantic reasoning. 5043–5048. 25 indexed citations
14.
Ramírez-Amaro, Karinne, Michael Beetz, & Gordon Cheng. (2014). Understanding Human Activities from Observation via Semantic Reasoning for Humanoid Robots. 1 indexed citations
15.
Ehrlich, Stefan K., Agnieszka Wykowska, Karinne Ramírez-Amaro, & Gordon Cheng. (2014). When to engage in interaction — And how? EEG-based enhancement of robot's ability to sense social signals in HRI. 1104–1109. 15 indexed citations
16.
Ramírez-Amaro, Karinne, Michael Beetz, & Gordon Cheng. (2013). Extracting Semantic Rules from Human Observations. International Conference on Robotics and Automation. 8 indexed citations
17.
Ramírez-Amaro, Karinne, et al.. (2012). Image-Based Learning Approach Applied to Time Series Forecasting. Journal of Applied Research and Technology. 10(3). 2 indexed citations
18.
Albrecht, Sebastian, Karinne Ramírez-Amaro, David Weikersdorfer, et al.. (2011). Imitating human reaching motions using physically inspired optimization principles. 602–607. 59 indexed citations
19.
Ramírez-Amaro, Karinne, et al.. (2007). Machine Learning Tools to Time Series Forecasting. 2. 91–101. 2 indexed citations
20.
Ramírez-Amaro, Karinne, et al.. (2006). Recurrence Plot Analysis and its Application to Teleconnection Patterns. 65–72. 2 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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