Giorgio Cannata

2.9k citations
123 papers · 2.1k indexed · h-index 22
Topics
Robot Manipulation and Learning (45 papers)Advanced Sensor and Energy Harvesting Materials (44 papers)Tactile and Sensory Interactions (39 papers)

In The Last Decade

Giorgio Cannata

111 papers receiving 2.0k citations

Peers

Giorgio Cannata
Comparison fields: 5 of 97
  • Biomedical Engineering 1.4k
  • Cognitive Neuroscience 880
  • Control and Systems Engineering 766
  • Mechanical Engineering 405
  • Human-Computer Interaction 260
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Citations per field
00.5×10×20×30×42.7×
Bin Fang · 1×
Citations per year

Countries citing papers authored by Giorgio Cannata

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Cannata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Cannata

This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Cannata. A scholar is included among the top collaborators of Giorgio Cannata 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 Giorgio Cannata. Giorgio Cannata 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 5
2 0
3 10
4 3
5 10
6 7
7 1
8 172
9 3
10
Experimental analysis of different pheromone structures in an Ant Colony Optimization algorithm in robotic skin design
1
11
A Context Aware Multi-robot Coordination System Based on Agent Technology.
1
12 30
13
A multi-robot coordination system based on RFID technology
5
14
A multi-agent control architecture for large scale multi-robot system
1
15 2
16 0
17 1
18
Guidance of 3D Underwater non Holonomic Vehicle Via Projection on Holonomic Solutions
8
19
A New Tactile Sensor for Robotic Underwater Applications.
2
20
Simulation of Descriptor Systems: an Application. The Numerical Solution of Inverse Problems.
6

About Giorgio Cannata

Giorgio Cannata is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Cognitive Neuroscience, having authored 123 papers that have together received 2.1k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (45 papers), Advanced Sensor and Energy Harvesting Materials (44 papers) and Tactile and Sensory Interactions (39 papers). The work is most often cited by research in Human-Computer Interaction (260 citations), Cognitive Neuroscience (880 citations) and Control and Systems Engineering (766 citations). Giorgio Cannata has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Marco Maggiali, Giorgio Metta, Perla Maiolino, Fulvio Mastrogiovanni, Lorenzo Natale, Alexander Schmitz, Giulio Sandini, Giuseppe Casalino, M. Aicardi and Maurizio Valle. Their work appears in journals such as IEEE Transactions on Automatic Control, Sensors and The International Journal of Robotics Research.

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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