Fernando Torres

147 papers receiving 2.2k citations

Peers

Fernando Torres
Comparison fields: 5 of 116
  • Media Technology 627
  • Industrial and Manufacturing Engineering 397
  • Architecture 52
  • Control and Systems Engineering 724
  • Computer Science Applications 156
Replace Dikai Liu with:
Dikai Liu Australia
Cipriano Galindo Spain
R. Marı́n Spain
Taşkın Padır United States
Juan‐Antonio Fernández‐Madrigal Spain
Javier González-Jiménez Spain
Thomas Bräunl Australia
Nauman Aslam United Kingdom
Luca Iocchi Italy
Mehmet Karamanoglu United Kingdom
Fernando Torres relative to Dikai Liu Australia Dikai Liu's profile →
Citations per field
00.5×8.7×
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 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011157
2 2008118
3 201385
4 201085
5 200880
6 200471
7
A virtual laboratory for teaching robotics
200366
8 201965
9 201462
10 201561
11 201056
12 200753
13 200453
14 200846
15 200945
16 200344
17
Experiences with Virtual Environment and Remote Laboratory for Teaching and Learning Robotics at the University of Alicante
200640
18 201938
19 201433
20 200831

About Fernando Torres

Fernando Torres is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Media Technology, Mechanical Engineering and Aerospace Engineering, having authored 161 papers that have together received 2.3k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (43 papers), Advanced Vision and Imaging (35 papers), Robotics and Sensor-Based Localization (33 papers), Experimental Learning in Engineering (28 papers), Teleoperation and Haptic Systems (21 papers), Manufacturing Process and Optimization (18 papers), Image Processing Techniques and Applications (16 papers) and Tactile and Sensory Interactions (12 papers). The work is most often cited by research in Media Technology (627 citations), Industrial and Manufacturing Engineering (397 citations), Architecture (52 citations), Control and Systems Engineering (724 citations) and Computer Science Applications (156 citations). Fernando Torres has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Francisco A. Candelas-Herías, Jorge Pomares, Santiago Timoteo Puente Méndez, Carlos A. Jara, Pablo Gil, 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 Autonomous Systems, Robotics and Computer-Integrated Manufacturing and Robotics.

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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