Matteo Malosio

1.0k citations
63 papers · 647 · h-index 14

Impact in

Papers in

    • Muscle activation and electromyography studies 22
    • Prosthetics and Rehabilitation Robotics 14
    • Soft Robotics and Applications 5
    • Stroke Rehabilitation and Recovery 24

Matteo Malosio

56 papers receiving 632 citations

Peers

Matteo Malosio
Comparison fields: 5 of 81
  • Rehabilitation 202
  • Human-Computer Interaction 66
  • Medical Laboratory Technology 11
  • Biomedical Engineering 290
  • Industrial and Manufacturing Engineering 65
Replace Pauline Maurice with:
Pauline Maurice France
Gerdienke B. Prange-Lasonder Netherlands
Luca Tagliapietra Italy
R. Bernhardt Germany
Agostino De Santis Italy
Emilio Sánchez Spain
Vincent Bonnet France
Dylan P. Losey United States
Craig G. McDonald United States
Yvan Measson France
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Citations per field
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Citations per year

Countries citing papers authored by Matteo Malosio

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Malosio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201383
2 201253
3 201535
4 201735
5 202132
6 201827
7 201823
8 202222
9 201721
10 201418
11 201116
12 202014
13 202214
14 201714
15 201513
16 202313
17 201712
18 202112
19 202411
20 201410

About Matteo Malosio

Matteo Malosio is a scholar working on Biomedical Engineering, Rehabilitation, Cognitive Neuroscience, Control and Systems Engineering and Human-Computer Interaction, having authored 63 papers that have together received 647 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (24 papers), Muscle activation and electromyography studies (22 papers), Prosthetics and Rehabilitation Robotics (14 papers), Motor Control and Adaptation (6 papers), Cerebral Palsy and Movement Disorders (6 papers), Soft Robotics and Applications (5 papers), Human-Automation Interaction and Safety (4 papers) and Balance, Gait, and Falls Prevention (4 papers). The work is most often cited by research in Rehabilitation (202 citations), Human-Computer Interaction (66 citations), Medical Laboratory Technology (11 citations), Biomedical Engineering (290 citations) and Industrial and Manufacturing Engineering (65 citations). Matteo Malosio has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Lorenzo Molinari Tosatti, Nicola Pedrocchi, Alessandro Scano, Marco Caimmi, Federico Vicentini, Andrea Chiavenna, Franco Molteni, Fábio C. Vicentini, Giovanni Legnani and Roberto Marani. Their work appears in journals such as Gait & Posture, Mechanism and Machine Theory, Robotics, BioMed Research International and Virtual Reality.

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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