Simone Pasinetti

773 citations
55 papers · 500 · h-index 15

Impact in

Papers in

Simone Pasinetti

52 papers receiving 486 citations

Peers

Simone Pasinetti
Comparison fields: 5 of 95
  • Human-Computer Interaction 86
  • Rehabilitation 43
  • Physical Therapy, Sports Therapy and Rehabilitation 28
  • Computer Vision and Pattern Recognition 125
  • Instrumentation 19
Replace Matteo Lancini with:
Matteo Lancini Italy
Pierre Merriaux France
Josip Musić Croatia
Daekyum Kim South Korea
Takafumi Matsumaru Japan
Jinwu Qian China
Frank Delbressine Netherlands
Kui Xiang China
Sho Yokota Japan
Sergio Savino Italy
Simone Pasinetti relative to Matteo Lancini Italy Matteo Lancini's profile →
Citations per field
00.5×1.5×
Matteo Lancini · 1×
Citations per year

Countries citing papers authored by Simone Pasinetti

Since Specialization
Citations

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

Fields of papers citing papers by Simone Pasinetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201939
2 201535
3 202035
4 201627
5 201927
6 201925
7 202020
8 201819
9 201918
10 201818
11 202117
12 201616
13 201415
14 202015
15 201714
16 201513
17 201813
18 201411
19 201510
20 202310

About Simone Pasinetti

Simone Pasinetti is a scholar working on Mechanical Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Automotive Engineering, having authored 55 papers that have together received 500 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (8 papers), Optical measurement and interference techniques (6 papers), Prosthetics and Rehabilitation Robotics (6 papers), Hand Gesture Recognition Systems (5 papers), Surface Roughness and Optical Measurements (5 papers), Railway Engineering and Dynamics (5 papers), Spinal Cord Injury Research (4 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Human-Computer Interaction (86 citations), Rehabilitation (43 citations), Physical Therapy, Sports Therapy and Rehabilitation (28 citations), Computer Vision and Pattern Recognition (125 citations) and Instrumentation (19 citations). Simone Pasinetti has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Matteo Lancini, Giovanna Sansoni, Franco Docchio, Mauro Serpelloni, Eleonora Guanziroli, M. De Cecco, David Vetturi, Angelo Mazzù, Manuel Beschi and Candida Petrogalli. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Sensors, IEEE Sensors Journal, Data in Brief and Robotics and Computer-Integrated Manufacturing.

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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