Fernando Torres

171 papers receiving 2.5k citations

Peers

Fernando Torres
Comparison fields: 5 of 123
  • Media Technology 728
  • Industrial and Manufacturing Engineering 455
  • Architecture 55
  • Control and Systems Engineering 812
  • Computer Science Applications 186
Replace Dikai Liu with:
Dikai Liu Australia
Juan J. Rodríguez-Andina Spain
Taşkın Padır United States
Luca Iocchi Italy
Javier González-Jiménez Spain
Juan‐Antonio Fernández‐Madrigal Spain
Thomas Bräunl Australia
Nauman Aslam United Kingdom
Qinggang Meng United Kingdom
Paolo Carbone Italy
Fernando Torres relative to Dikai Liu Australia Dikai Liu's profile →
Citations per field
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Dikai Liu · 1×
Citations per year

Countries citing papers authored by Fernando Torres

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando Torres, 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 Fernando Torres Line = papers co-authored together Fernando Torres links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011177
2 2008122
3 200896
4 201095
5 201390
6 200487
7
A virtual laboratory for teaching robotics
200375
8 201973
9 201469
10 201568
11 200766
12 201064
13 200455
14 200850
15 200349
16 200948
17
Experiences with Virtual Environment and Remote Laboratory for Teaching and Learning Robotics at the University of Alicante
200644
18 201942
19 201236
20 201435

About Fernando Torres

Fernando Torres is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Media Technology, Aerospace Engineering and Mechanical Engineering, having authored 191 papers that have together received 2.6k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (46 papers), Advanced Vision and Imaging (44 papers), Robotics and Sensor-Based Localization (40 papers), Experimental Learning in Engineering (32 papers), Teleoperation and Haptic Systems (26 papers), Image Processing Techniques and Applications (19 papers), Manufacturing Process and Optimization (17 papers) and Mechatronics Education and Applications (13 papers). The work is most often cited by research in Media Technology (728 citations), Industrial and Manufacturing Engineering (455 citations), Architecture (55 citations), Control and Systems Engineering (812 citations) and Computer Science Applications (186 citations). Fernando Torres has collaborated with scholars based in Spain, France and Chile. Frequent co-authors include Francisco A. Candelas-Herías, Jorge Pomares, Carlos A. Jara, Pablo Gil, Santiago Timoteo Puente Méndez, Juan Antonio Corrales Ramón, Gabriel J. García, S. Dormido, Francisco Ortiz and Rafaél Aracil. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Sensors, Robotics and Computer-Integrated Manufacturing, Robotics and Autonomous Systems and IEEE Robotics and Automation Letters.

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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