ProfessorsProfessors of University of CambridgeSalvatore Scellato

Salvatore Scellato

University of Cambridge

H-index: 34

Europe-United Kingdom

About Salvatore Scellato

Salvatore Scellato, With an exceptional h-index of 34 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Mobile systems, data mining, location-based systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini: a family of highly capable multimodal models

Systems and methods for electronic device fleet management

Energy-efficient location determination

Salvatore Scellato Information

University	University of Cambridge
Position	DeepMind Google
Citations(all)	8924
Citations(since 2020)	2726
Cited By	7598
hIndex(all)	34
hIndex(since 2020)	25
i10Index(all)	46
i10Index(since 2020)	34
Email	Access Email
University Profile Page	University of Cambridge
Google Scholar	View Google Scholar Profile

Salvatore Scellato Skills & Research Interests

Mobile systems

data mining

location-based systems

Top articles of Salvatore Scellato

Title	Journal	Author(s)	Publication Date
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context	arXiv preprint arXiv:2403.05530	Machel Reid Nikolay Savinov Denis Teplyashin Dmitry Lepikhin Timothy Lillicrap ...	2024/3/8
Gemini: a family of highly capable multimodal models	arXiv preprint arXiv:2312.11805	Gemini Team Rohan Anil Sebastian Borgeaud Yonghui Wu Jean-Baptiste Alayrac ...	2023/12/19
Systems and methods for electronic device fleet management			2020/1/28
Energy-efficient location determination			2020/1/9