Manuel Ferré

129 papers receiving 1.5k citations

Peers

Manuel Ferré
Comparison fields: 5 of 114
  • Human-Computer Interaction 221
  • Rehabilitation 140
  • Control and Systems Engineering 495
  • Mechanical Engineering 690
  • Cognitive Neuroscience 264
Replace Vicente Parra‐Vega with:
Vicente Parra‐Vega Mexico
Costas S. Tzafestas Greece
Yuru Zhang China
Philippe Fraisse France
Roberto Oboe Italy
Gianluca Palli Italy
M. Cenk Çavuşoğlu United States
Sungchul Kang South Korea
S. Farokh Atashzar United States
G. Hirzinger Germany
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Citations per field
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Vicente Parra‐Vega · 1×
Citations per year

Countries citing papers authored by Manuel Ferré

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Ferré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200898
2 200791
3 201286
4 201757
5 202051
6 201845
7 200943
8 201042
9 200439
10 200236
11 201933
12 201828
13 200425
14 201124
15 200823
16 200222
17 202021
18 201121
19 201020
20 201920

About Manuel Ferré

Manuel Ferré is a scholar working on Mechanical Engineering, Control and Systems Engineering, Biomedical Engineering, Cognitive Neuroscience and Computer Networks and Communications, having authored 139 papers that have together received 1.5k indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (60 papers), Robot Manipulation and Learning (35 papers), Soft Robotics and Applications (17 papers), Modular Robots and Swarm Intelligence (17 papers), Robotics and Automated Systems (16 papers), Tactile and Sensory Interactions (14 papers), Stroke Rehabilitation and Recovery (14 papers) and Muscle activation and electromyography studies (12 papers). The work is most often cited by research in Human-Computer Interaction (221 citations), Rehabilitation (140 citations), Control and Systems Engineering (495 citations), Mechanical Engineering (690 citations) and Cognitive Neuroscience (264 citations). Manuel Ferré has collaborated with scholars based in Spain, Switzerland and Germany. Frequent co-authors include Rafaél Aracil, Mario Di Castro, Miguel Á. Alfonso‐Sánchez, A. Masi, Joaquín Ortego, Michael Panzirsch, José M. Azorín, José Breñosa, Ignacio Galiana and Óscar Reinoso. Their work appears in journals such as Sensors, Fusion Engineering and Design, IEEE Access, Robotics and Autonomous Systems and IEEE Robotics & Automation Magazine.

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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