Marco Maggiali

2.0k citations
45 papers · 1.5k indexed · h-index 18
Topics
Robot Manipulation and Learning (19 papers)Advanced Sensor and Energy Harvesting Materials (18 papers)Tactile and Sensory Interactions (13 papers)

In The Last Decade

Marco Maggiali

45 papers receiving 1.5k citations

Peers

Marco Maggiali
Comparison fields: 5 of 92
  • Biomedical Engineering 1.1k
  • Cognitive Neuroscience 706
  • Control and Systems Engineering 465
  • Electrical and Electronic Engineering 219
  • Mechanical Engineering 213
Replace Philipp Mittendorfer with:
Philipp Mittendorfer Germany
Perla Maiolino United Kingdom
Giorgio Cannata Italy
Vincent Duchaine Canada
Yunzhu Li United States
Mohsen Kaboli Germany
Toshiharu Mukai Japan
Alexander Schmitz Japan
Yon Visell United States
Benjamin Shih United States
Marco Maggiali relative to Philipp Mittendorfer Germany Philipp Mittendorfer's profile →
Citations per field
00.5×1.5×1.8×
Philipp Mittendorfer · 1×
Citations per year

Countries citing papers authored by Marco Maggiali

Since Specialization
Citations

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

Fields of papers citing papers by Marco Maggiali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Maggiali

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Maggiali. A scholar is included among the top collaborators of Marco Maggiali based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marco Maggiali. Marco Maggiali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 1
4 3
5 6
6 9
7 48
8 1
9 11
10 5
11 5
12 3
13 172
14 21
15 17
16
Modular skin for humanoid robot systems
26
17 84
18 20
19 204
20 44

About Marco Maggiali

Marco Maggiali is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Cognitive Neuroscience, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (19 papers), Advanced Sensor and Energy Harvesting Materials (18 papers) and Tactile and Sensory Interactions (13 papers). The work is most often cited by research in Cognitive Neuroscience (706 citations), Human-Computer Interaction (178 citations) and Biomedical Engineering (1.1k citations). Marco Maggiali has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Giorgio Cannata, Giorgio Metta, Lorenzo Natale, Perla Maiolino, Alexander Schmitz, Giulio Sandini, S. Dussoni, Athanassia Athanassiou, Ilker S. Bayer and Andreas Schmitz. Their work appears in journals such as Sensors, Advanced Science and Composites Part B Engineering.

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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