Stefano Roccella

3.4k citations
58 papers · 2.5k indexed · 1 hit paper · h-index 25

Stefano Roccella

53 papers receiving 2.4k citations

Hit Papers

Visual-Based Defect Detection and Classification Approach...247202020262022202450100150200

Peers

Stefano Roccella
Comparison fields: 5 of 99
  • Rehabilitation 496
  • Biomedical Engineering 1.7k
  • Control and Systems Engineering 831
  • Cognitive Neuroscience 553
  • Industrial and Manufacturing Engineering 221
Replace Caihua Xiong with:
Caihua Xiong China
Yoky Matsuoka United States
Andrea Cherubini France
Domenico Campolo Singapore
Lorenzo Molinari Tosatti Italy
R. Brent Gillespie United States
Gionata Salvietti Italy
Giorgio Grioli Italy
Monica Reggiani Italy
Manuel G. Catalano Italy
Stefano Roccella relative to Caihua Xiong China Caihua Xiong's profile →
Citations per field
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Caihua Xiong · 1×
Citations per year

Countries citing papers authored by Stefano Roccella

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Roccella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20231
5 202122
6 20207
7
Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEYbreakdown →
2020247
8 201910
9 201155
10 201114
11 200928
12
HANDEXOS: Towards a support device for hand activities and telepresence
20086
13 200870
14 20086
15 2007258
16
Behavior generation of humanoid robots depending on mood
20064
17 200629
18 200531
19 20048
20 20028

About Stefano Roccella

Stefano Roccella is a scholar working on Rehabilitation, Control and Systems Engineering, Biomedical Engineering, Cognitive Neuroscience and Social Psychology, having authored 58 papers that have together received 2.5k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (24 papers), Robot Manipulation and Learning (15 papers), Prosthetics and Rehabilitation Robotics (14 papers), Stroke Rehabilitation and Recovery (6 papers), EEG and Brain-Computer Interfaces (6 papers), Social Robot Interaction and HRI (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers) and Motor Control and Adaptation (5 papers). The work is most often cited by research in Rehabilitation (496 citations), Biomedical Engineering (1.7k citations), Control and Systems Engineering (831 citations), Cognitive Neuroscience (553 citations) and Industrial and Manufacturing Engineering (221 citations). Stefano Roccella has collaborated with scholars based in Italy, Japan and Germany. Frequent co-authors include Maria Chiara Carrozza, Paolo Dario, F. Vecchi, Nicola Vitiello, Francesco Giovacchini, B. Massa, Lucia Beccai, E. Cattin, Eugenio Guglielmelli and Loredana Zollo. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, Journal of Field Robotics, Fusion Engineering and Design, Mechatronics and Sensors and Actuators A Physical.

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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