Massimo Mastrangeli
- Condensed Matter Physics top 1%
- Micro and Nano Robotics 24
- Mechanical Engineering top 1%
- Modular Robots and Swarm Intelligence 39
- Advanced Materials and Mechanics 19
- Biomedical Engineering top 1%
- Advanced Sensor and Energy Harvesting Materials 14
- 3D Printing in Biomedical Research 13
- Microfluidic and Bio-sensing Technologies 6
- Surfaces, Coatings and Films top 5%
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- Neuroscience and Neural Engineering 9
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- Electrowetting and Microfluidic Technologies 9
Massimo Mastrangeli
80 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Condensed Matter Physics 1.4k
- Mechanical Engineering 1.8k
- Biomedical Engineering 2.1k
- Surfaces, Coatings and Films 179
- Electronic, Optical and Magnetic Materials 244
Countries citing papers authored by Massimo Mastrangeli
This map shows the geographic impact of Massimo Mastrangeli'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 Massimo Mastrangeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Mastrangeli more than expected).
Fields of papers citing papers by Massimo Mastrangeli
This network shows the impact of papers produced by Massimo Mastrangeli. 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 Massimo Mastrangeli. The network helps show where Massimo Mastrangeli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Mastrangeli, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 20 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 20 | |
| 15 | 2020 | 30 | |
| 16 | 2020 | 11 | |
| 17 | Small-scale soft-bodied robot with multimodal locomotionbreakdown → | 2018 | 1904 |
| 18 | 2014 | 12 | |
| 19 | 2011 | 7 | |
| 20 | Establishing solder interconnects in capillary die-to-substrate self-assembly | 2008 | 3 |
About Massimo Mastrangeli
Massimo Mastrangeli is a scholar working on Condensed Matter Physics, Mechanical Engineering and Biomedical Engineering, having authored 85 papers that have together received 3.3k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (39 papers), Micro and Nano Robotics (24 papers), Advanced Materials and Mechanics (19 papers), Advanced Sensor and Energy Harvesting Materials (14 papers), 3D Printing in Biomedical Research (13 papers), Neuroscience and Neural Engineering (9 papers), Electrowetting and Microfluidic Technologies (9 papers) and Microfluidic and Bio-sensing Technologies (6 papers). The work is most often cited by research in Condensed Matter Physics (1.4k citations), Mechanical Engineering (1.8k citations) and Biomedical Engineering (2.1k citations). Massimo Mastrangeli has collaborated with scholars based in Netherlands, Belgium and Switzerland. Frequent co-authors include Metin Sitti, Wenqi Hu, Guo Zhan Lum, Chris Van Hoof, Juergen Brügger, Pierre Lambert, Jérémy Butet, Duncan T. L. Alexander, Valentin Flauraud and Gabriel D. Bernasconi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.