Iris De Falco
Impact in
- Biomedical Engineering top 5%
- Soft Robotics and Applications
- Advanced Sensor and Energy Harvesting Materials
- Prosthetics and Rehabilitation Robotics
- Advanced Surface Polishing Techniques
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
Papers in
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- Soft Robotics and Applications 8
- Anatomy and Medical Technology 4
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- Modular Robots and Swarm Intelligence 3
- Co-authors
- Arianna Menciassi (10 shared papers)Matteo Cianchetti (6 shared papers)Giada Gerboni (5 shared papers)Tommaso Ranzani (3 shared papers)Cecilia Laschi (1 shared paper)Paolo Dario (2 shared papers)Giuseppe Tortora (2 shared papers)Helge Würdemann (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Robotics (1 paper)Bioinspiration & Biomimetics (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Iris De Falco
10 papers receiving 775 citations
Peers
Comparison fields: 5 of 52
- Biomedical Engineering 712
- Condensed Matter Physics 190
- Control and Systems Engineering 282
- Gastroenterology 52
- Mechanical Engineering 256
Countries citing papers authored by Iris De Falco
This map shows the geographic impact of Iris De Falco'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 Iris De Falco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris De Falco more than expected).
Fields of papers citing papers by Iris De Falco
This network shows the impact of papers produced by Iris De Falco. 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 Iris De Falco. The network helps show where Iris De Falco may publish in the future.
Co-authors
The 16 scholars most cited alongside Iris De Falco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 228 | |
| 2 | 2016 | 203 | |
| 3 | 2016 | 166 | |
| 4 | 2017 | 96 | |
| 5 | 2013 | 57 | |
| 6 | 2014 | 18 | |
| 7 | 2018 | 9 | |
| 8 | 2015 | 5 | |
| 9 | 2017 | 4 | |
| 10 | 2015 | 2 |
About Iris De Falco
Iris De Falco is a scholar working on Biomedical Engineering, Mechanical Engineering, Surgery, Condensed Matter Physics and Control and Systems Engineering, having authored 10 papers that have together received 788 indexed citations. Recurring topics across this work include Soft Robotics and Applications (8 papers), Anatomy and Medical Technology (4 papers), Robot Manipulation and Learning (3 papers), Modular Robots and Swarm Intelligence (3 papers), Micro and Nano Robotics (3 papers), Surgical Simulation and Training (2 papers), Gastrointestinal Tumor Research and Treatment (1 paper) and Energy Harvesting in Wireless Networks (1 paper). The work is most often cited by research in Biomedical Engineering (712 citations), Condensed Matter Physics (190 citations), Control and Systems Engineering (282 citations), Gastroenterology (52 citations) and Mechanical Engineering (256 citations). Iris De Falco has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Arianna Menciassi, Matteo Cianchetti, Giada Gerboni, Tommaso Ranzani, Cecilia Laschi, Paolo Dario, Giuseppe Tortora, Helge Würdemann, Kaspar Althoefer and Agostino Stilli. Their work appears in journals such as Journal of Visualized Experiments, Robotics, Bioinspiration & Biomimetics, IEEE Transactions on Biomedical Engineering and IEEE Robotics and Automation Letters.
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.