Stefano Galvan

606 citations
22 papers · 462 · h-index 14

Impact in

Papers in

Stefano Galvan

22 papers receiving 450 citations

Peers

Stefano Galvan
Comparison fields: 5 of 81
  • Biomedical Engineering 264
  • Health Informatics 6
  • Medical Laboratory Technology 6
  • Molecular Medicine 18
  • Computer Vision and Pattern Recognition 82
Replace Yi-Je Lim with:
Yi-Je Lim United States
Yashraj Narang United States
Jiahao Wu China
Andrew P. Sabelhaus United States
Norihiko Kato Japan
Zehao Wu Macao
Shuhei Miyashita United States
Yuchong Zhang Sweden
Yaser Maddahi Canada
Jérôme Szewczyk France
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Citations per field
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Citations per year

Countries citing papers authored by Stefano Galvan

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Galvan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Stefano Galvan, 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 Stefano Galvan Line = papers co-authored together Stefano Galvan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016100
2 202057
3 201938
4 201036
5 201732
6 202129
7 200624
8 202222
9 200722
10 202117
11 202216
12 202116
13 201816
14 200615
15 20196
16 20064
17
A Force Dependent Scaling for Improving the Human Perception in Bilateral Teleoperation
20083
18 20093
19 20202
20 20122

About Stefano Galvan

Stefano Galvan is a scholar working on Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering, Cognitive Neuroscience and Surgery, having authored 22 papers that have together received 462 indexed citations. Recurring topics across this work include Soft Robotics and Applications (9 papers), Teleoperation and Haptic Systems (5 papers), Robotic Mechanisms and Dynamics (3 papers), Tactile and Sensory Interactions (3 papers), Automotive and Human Injury Biomechanics (2 papers), Modular Robots and Swarm Intelligence (2 papers), Anatomy and Medical Technology (2 papers) and Micro and Nano Robotics (2 papers). The work is most often cited by research in Biomedical Engineering (264 citations), Health Informatics (6 citations), Medical Laboratory Technology (6 citations), Molecular Medicine (18 citations) and Computer Vision and Pattern Recognition (82 citations). Stefano Galvan has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Ferdinando Rodriguez y Baena, Daniele Dini, Antonio Elia Forte, Paolo Fiorini, Riccardo Secoli, Fouzia Khan, Sarthak Misra, Elena De Momi, Marco Vicentini and A. Castellani. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Robotics and Automation Letters, Materials & Design, ACM Transactions on Applied Perception and International Journal of Molecular Sciences.

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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