F. Salsedo

1.9k citations
41 papers · 1.4k · h-index 19

Impact in

Papers in

F. Salsedo

41 papers receiving 1.3k citations

Peers

F. Salsedo
Comparison fields: 5 of 70
  • Rehabilitation 618
  • Human-Computer Interaction 179
  • Cognitive Neuroscience 358
  • Biomedical Engineering 806
  • Control and Systems Engineering 247
Replace Simone Marcheschi with:
Simone Marcheschi Italy
Mourad Bouzit United States
Craig R. Carignan United States
S. Farokh Atashzar United States
Joel C. Perry United States
R. A. R. C. Gopura Sri Lanka
Tetsuya Mouri Japan
Hyung‐Soon Park South Korea
Nathanaël Jarrassé France
F. Vecchi Italy
F. Salsedo relative to Simone Marcheschi Italy Simone Marcheschi's profile →
Citations per field
00.5×1.5×1.9×
Simone Marcheschi · 1×
Citations per year

Countries citing papers authored by F. Salsedo

Since Specialization
Citations

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

Fields of papers citing papers by F. Salsedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005171
2 2002142
3 2009101
4 201698
5 200997
6 200791
7 201478
8 200876
9 201175
10 201343
11 198939
12 200937
13 201329
14 200627
15 199026
16 201226
17 201521
18 200520
19 200320
20 200318

About F. Salsedo

F. Salsedo is a scholar working on Mechanical Engineering, Biomedical Engineering, Control and Systems Engineering, Cognitive Neuroscience and Rehabilitation, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (17 papers), Robot Manipulation and Learning (11 papers), Tactile and Sensory Interactions (10 papers), Prosthetics and Rehabilitation Robotics (9 papers), Muscle activation and electromyography studies (7 papers), Robotic Mechanisms and Dynamics (7 papers), Stroke Rehabilitation and Recovery (7 papers) and Soft Robotics and Applications (5 papers). The work is most often cited by research in Rehabilitation (618 citations), Human-Computer Interaction (179 citations), Cognitive Neuroscience (358 citations), Biomedical Engineering (806 citations) and Control and Systems Engineering (247 citations). F. Salsedo has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Massimo Bergamasco, Simone Marcheschi, Antonio Frisoli, Marco Fontana, Maria Chiara Carboncini, Paolo Dario, Massimiliano Solazzi, Bruno Rossi, Luca Ferretti and Benedetto Allotta. Their work appears in journals such as Journal of Mechanisms and Robotics, Sensors, The Visual Computer, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Mechanical Design.

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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