Xavi Gratal
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Adaptive Control of Nonlinear Systems
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
Papers in
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- Robot Manipulation and Learning 5
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- Bayesian Methods and Mixture Models 1
- Co-authors
- Danica Kragić (7 shared papers)Christian Smith (2 shared papers)Yiannis Karayiannidis (1 shared paper)Dimos V. Dimarogonas (1 shared paper)Peng Qi (1 shared paper)Lazaros Nalpantidis (1 shared paper)Jeannette Bohg (3 shared papers)Beatriz León (1 shared paper)
- Journals
- Robotics and Autonomous Systems (1 paper)Mechatronics (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (1 paper)IFAC Proceedings Volumes (1 paper)IEEE International Conference on Computer Vision Workshops (1 paper)
In The Last Decade
Xavi Gratal
8 papers receiving 623 citations
Xavi Gratal's Hit Papers
Peers
Comparison fields: 5 of 21
- Control and Systems Engineering 380
- Computer Vision and Pattern Recognition 36
- Industrial and Manufacturing Engineering 6
- Artificial Intelligence 19
- Aerospace Engineering 14
Countries citing papers authored by Xavi Gratal
This map shows the geographic impact of Xavi Gratal'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 Xavi Gratal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavi Gratal more than expected).
Fields of papers citing papers by Xavi Gratal
This network shows the impact of papers produced by Xavi Gratal. 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 Xavi Gratal. The network helps show where Xavi Gratal may publish in the future.
Co-authors
The 19 scholars most cited alongside Xavi Gratal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Dual arm manipulation—A survey Hit paper breakdown → | 2012 | 454 |
| 2 | 2011 | 77 | |
| 3 | 2014 | 39 | |
| 4 | 2011 | 20 | |
| 5 | 2011 | 15 | |
| 6 | Scene Representation and Object Grasping Using Active Vision | 2010 | 14 |
| 7 | 2013 | 13 | |
| 8 | 2013 | 4 |
About Xavi Gratal
Xavi Gratal is a scholar working on Control and Systems Engineering, Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 8 papers that have together received 636 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Control and Systems Engineering (380 citations), Computer Vision and Pattern Recognition (36 citations), Industrial and Manufacturing Engineering (6 citations), Artificial Intelligence (19 citations) and Aerospace Engineering (14 citations). Xavi Gratal has collaborated with scholars based in Sweden and Spain. Frequent co-authors include Danica Kragić, Christian Smith, Yiannis Karayiannidis, Dimos V. Dimarogonas, Peng Qi, Lazaros Nalpantidis, Jeannette Bohg, Beatriz León, Niklas Bergström and Antonio Morales. Their work appears in journals such as Robotics and Autonomous Systems, Mechatronics, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings, IFAC Proceedings Volumes and IEEE International Conference on Computer Vision Workshops.
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.