B. Massa

817 citations
8 papers · 643 indexed · h-index 7

B. Massa

7 papers receiving 585 citations

Peers

B. Massa
Comparison fields: 5 of 45
  • Control and Systems Engineering 444
  • Biomedical Engineering 573
  • Cognitive Neuroscience 161
  • Cellular and Molecular Neuroscience 118
  • Rehabilitation 19
Replace Edoardo Farnioli with:
Edoardo Farnioli Italy
A. Kargov Germany
P. Meusel Germany
Shaowei Fan China
G. Cappiello Italy
Leif P. Jentoft United States
David F. Knutti United States
Umberto Scarcia Italy
Yaroslav Tenzer United States
W. Van Moorleghem Belgium
B. Massa relative to Edoardo Farnioli Italy Edoardo Farnioli's profile →
Citations per field
00.5×1.5×2.3×
Edoardo Farnioli · 1×
Citations per year

Countries citing papers authored by B. Massa

Since Specialization
Citations

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

Fields of papers citing papers by B. Massa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside B. Massa, 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 B. Massa Line = papers co-authored together B. Massa links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2004199
2 2003271
3 200219
4 200226
5 200291
6 200221
7
Design and experiments on a novel biomechatronic hand
20011
8
Grasping and Manipulation in Humanoid Robotics
200015

About B. Massa

B. Massa is a scholar working on Control and Systems Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Philosophy and Cognitive Neuroscience, having authored 8 papers that have together received 643 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Muscle activation and electromyography studies (5 papers), Prosthetics and Rehabilitation Robotics (4 papers), Robotic Locomotion and Control (2 papers), Neuroscience and Neural Engineering (2 papers), Motor Control and Adaptation (1 paper), Hermeneutics and Narrative Identity (1 paper) and Aging, Elder Care, and Social Issues (1 paper). The work is most often cited by research in Control and Systems Engineering (444 citations), Biomedical Engineering (573 citations), Cognitive Neuroscience (161 citations), Cellular and Molecular Neuroscience (118 citations) and Rehabilitation (19 citations). B. Massa has collaborated with scholars based in Italy and United States. Frequent co-authors include Paolo Dario, Maria Chiara Carrozza, Stefano Roccella, R. Lazzarini, Massimiliano Zecca, Mark R. Cutkosky, Fabrizio Sebastiani, F. Vecchi, Silvestro Micera and Cecilia Laschi. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, Autonomous Robots, Technology and Health Care and CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies).

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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