Vito Cacucciolo
- Biomedical Engineering top 0.5%
- Mechanical Engineering top 1%
- Control and Systems Engineering top 1%
- Condensed Matter Physics top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- Herbert SheaJun ShintakeDario FloreanoMatteo CianchettiMariangela MantiShingo MaedaAlae El HaitamiYoan Civet
- Topics
- Soft Robotics and Applications (21 papers)Advanced Sensor and Energy Harvesting Materials (20 papers)Micro and Nano Robotics (15 papers)
- Journals
- NatureScienceAdvanced Materials
- Partner nations
- SwitzerlandItalyJapan
In The Last Decade
Vito Cacucciolo
34 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Biomedical Engineering 3.1k
- Mechanical Engineering 1.6k
- Control and Systems Engineering 764
- Condensed Matter Physics 654
- Cognitive Neuroscience 337
Countries citing papers authored by Vito Cacucciolo
This map shows the geographic impact of Vito Cacucciolo'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 Vito Cacucciolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vito Cacucciolo more than expected).
Fields of papers citing papers by Vito Cacucciolo
This network shows the impact of papers produced by Vito Cacucciolo. 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 Vito Cacucciolo. The network helps show where Vito Cacucciolo may publish in the future.
Co-authorship network of co-authors of Vito Cacucciolo
This figure shows the co-authorship network connecting the top 25 collaborators of Vito Cacucciolo. A scholar is included among the top collaborators of Vito Cacucciolo 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 Vito Cacucciolo. Vito Cacucciolo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 57 | |
| 4 | 2 | |
| 5 | 55 | |
| 6 | 16 | |
| 7 | 152 | |
| 8 | 35 | |
| 9 | 25 | |
| 10 | 1 | |
| 11 | An autonomous untethered fast soft robotic insect driven by low-voltage dielectric elastomer actuatorsbreakdown → | 424 |
| 12 | Stretchable pumps for soft machinesbreakdown → | 339 |
| 13 | 28 | |
| 14 | Soft Biomimetic Fish Robot Made of Dielectric Elastomer Actuatorsbreakdown → | 281 |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 19 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 1 |
About Vito Cacucciolo
Vito Cacucciolo is a scholar working on Condensed Matter Physics, Biomedical Engineering and Mechanical Engineering, having authored 35 papers that have together received 3.6k indexed citations. Recurring topics across this work include Soft Robotics and Applications (21 papers), Advanced Sensor and Energy Harvesting Materials (20 papers) and Micro and Nano Robotics (15 papers). The work is most often cited by research in Biomedical Engineering (3.1k citations), Condensed Matter Physics (654 citations) and Mechanical Engineering (1.6k citations). Vito Cacucciolo has collaborated with scholars based in Switzerland, Italy and Japan. Frequent co-authors include Herbert Shea, Jun Shintake, Dario Floreano, Matteo Cianchetti, Mariangela Manti, Shingo Maeda, Alae El Haitami, Yoan Civet, Yves Perriard and Xinchang Liu. Their work appears in journals such as Nature, Science and Advanced Materials.
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.