Papers
15
Total Citations
154
H-Index
7
About
R. Ferretti is a prominent researcher at the intersection of marine robotics, environmental monitoring, and climate science, with a particular focus on deploying autonomous and cost-effective technologies in some of the world's most challenging aquatic environments. Their work spans Arctic oceanography, glacial ecosystems, riverine and alpine lake monitoring, and marine pollution detection, demonstrating a remarkable breadth of applied environmental research. Ferretti's most influential contributions center on leveraging unmanned surface vehicles (USVs), remotely operated vehicles (ROVs), and heterogeneous robotic systems to gather critical environmental data in regions difficult or dangerous to access by conventional means. Their highly cited 2018 paper on cost-effective Arctic monitoring technologies (32 citations) set the stage for subsequent fieldwork in Svalbard's Kongsfjorden, where they investigated glacier melt impacts on physical and biological ocean processes. This Arctic focus extends to microbial community studies near glacier interfaces, bridging robotics with marine microbiology. Beyond polar research, Ferretti has advanced river bathymetry surveys in flood-prone Ligurian watersheds and pioneered underwater seagrass mapping methodologies. Their 2023 work establishing a FAIR data framework for robotic datasets reflects a commitment to open science and global ocean observing standards. Collectively accumulating over 145 citations, Ferretti's research is shaping how the scientific community monitors fragile and rapidly changing aquatic ecosystems worldwide.
Research Focus
Key Achievements
Top Papers
- 1Cost-Effective Technologies to Study the Arctic Ocean Environment †32 citations · 2018
- 2
- 3River Survey Evolution by means of Autonomous Surface Vehicles16 citations · 2021
- 4
- 5
- 6
- 7
- 8A framework for FAIR robotic datasets7 citations · 2023
- 9
- 10