Carme Torras

7.3k citations
248 papers · 4.5k indexed · 1 hit paper · h-index 32

Carme Torras

232 papers receiving 4.3k citations

Hit Papers

Lock-in Time-of-Flight (ToF) Cameras: A Survey4432011202620162021100200300400

Peers

Carme Torras
Comparison fields: 5 of 149
  • Instrumentation 327
  • Control and Systems Engineering 1.9k
  • Computer Vision and Pattern Recognition 1.6k
  • Computer Graphics and Computer-Aided Design 225
  • Human-Computer Interaction 250
Replace Guillem Alenyà with:
Guillem Alenyà Spain
Marcelo H. Ang Singapore
Sven Behnke Germany
Shuran Song United States
Kazuya Takeda Japan
Ashutosh Saxena United States
Maren Bennewitz Germany
Yiannis Aloimonos United States
Rynson W. H. Lau Hong Kong
Juyang Weng United States
Carme Torras relative to Guillem Alenyà Spain Guillem Alenyà's profile →
Citations per field
00.5×1.5×2.4×
Guillem Alenyà · 1×
Citations per year

Countries citing papers authored by Carme Torras

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Carme Torras, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Carme Torras Line = papers co-authored together Carme Torras links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 20249
5 20244
6 20240
7 20235
8 202213
9 202111
10 20211
11 20216
12 202187
13 202027
14
STRIPS action discovery
20201
15 201911
16 20185
17 201839
18 201528
19 201429
20
Finding object configurations that satisfy spatial relationships
19905

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), Robotics and Sensor-Based Localization (33 papers), Reinforcement Learning in Robotics (30 papers), Robotic Path Planning Algorithms (27 papers), Advanced Vision and Imaging (27 papers), Neural Networks and Applications (19 papers) and Social Robot Interaction and HRI (19 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.

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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