Carme Torras
- Control and Systems Engineering top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Biomedical Engineering top 5%
- Artificial Intelligence top 1%
- Aerospace Engineering top 2%
- Co-authors
- Guillem AlenyàPablo JiménezFederico ThomasSergi FoixAdrià ColoméLeonel RozoFrancesc Moreno-NoguerBabette Dellen
- Topics
- Robot Manipulation and Learning (78 papers)Robotic Mechanisms and Dynamics (35 papers)Robotics and Sensor-Based Localization (33 papers)
- Journals
- SHILAP Revista de lepidopterologíaAutomaticaPattern Recognition
In The Last Decade
Carme Torras
232 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Control and Systems Engineering 1.9k
- Computer Vision and Pattern Recognition 1.6k
- Biomedical Engineering 916
- Artificial Intelligence 868
- Aerospace Engineering 555
Countries citing papers authored by Carme Torras
This map shows the geographic impact of Carme Torras'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 Carme Torras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carme Torras more than expected).
Fields of papers citing papers by Carme Torras
This network shows the impact of papers produced by Carme Torras. 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 Carme Torras. The network helps show where Carme Torras may publish in the future.
Co-authorship network of co-authors of Carme Torras
This figure shows the co-authorship network connecting the top 25 collaborators of Carme Torras. A scholar is included among the top collaborators of Carme Torras 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 Carme Torras. Carme Torras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 87 | |
| 13 | 27 | |
| 14 | STRIPS action discovery | 1 |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 39 | |
| 18 | 28 | |
| 19 | 29 | |
| 20 | Finding object configurations that satisfy spatial relationships | 5 |
About Carme Torras
Carme Torras is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 248 papers that have together received 4.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (78 papers), Robotic Mechanisms and Dynamics (35 papers) and Robotics and Sensor-Based Localization (33 papers). The work is most often cited by research in Instrumentation (327 citations), Control and Systems Engineering (1.9k citations) and Computer Vision and Pattern Recognition (1.6k citations). Carme Torras has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include Guillem Alenyà, Pablo Jiménez, Federico Thomas, Sergi Foix, Adrià Colomé, Leonel Rozo, Francesc Moreno-Noguer, Babette Dellen, Sylvain Calinon and Darwin G. Caldwell. Their work appears in journals such as SHILAP Revista de lepidopterología, Automatica and Pattern Recognition.
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.