The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Giovanni Sparacino sits on this spectrum.
This scientist: 215 publications — 53rd percentile
53% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Giovanni Sparacino sits on this spectrum.
This scientist: 46 D-Index — 49th percentile
49% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Giovanni Sparacino is affiliated with the University of Padua in Italy, focusing extensively on medicine with a specialization in endocrinology, diabetes, and metabolism. Their academic contributions span over 119 publications in medicine, with 76 specifically addressing endocrinology, diabetes, and metabolism. Additionally, their research encompasses surgery, genetics, cognitive neuroscience, and artificial intelligence, reflecting a multidisciplinary approach to health and technology.
The primary topics of Giovanni Sparacino's research include diabetes management and research, diabetes treatment and management, pancreatic function and diabetes, diabetes and associated disorders, machine learning in healthcare, EEG and brain-computer interfaces, and the intersection of metabolism, diabetes, and cancer.
Frequent publication venues for Sparacino's work include:
Among the recent papers authored by or associated with Giovanni Sparacino are:
Giovanni Sparacino has collaborated regularly with several co-authors, including:
This researcher's work integrates advanced computational methods such as artificial intelligence and machine learning, especially applied to glucose monitoring and diabetes care, reflecting significant interdisciplinary engagement. Their publication record demonstrates a strong emphasis on using data-driven approaches to address clinical questions related to diabetes management and cardiovascular outcomes.
C. Cobelli;C. Dalla Man;G. Sparacino;L. Magni
Giacomo Cappon;Martina Vettoretti;Giovanni Sparacino;Andrea Facchinetti
G. Sparacino;F. Zanderigo;S. Corazza;A. Maran
C Pérez-Gandía;A Facchinetti;G Sparacino;C Cobelli
Giuseppe de Nicolao;Giovanni Sparacino;Claudio Cobelli
Giacomo Cappon;Giada Acciaroli;Martina Vettoretti;Andrea Facchinetti
C. Zecchin;A. Facchinetti;G. Sparacino;G. De Nicolao
Martina Vettoretti;Giacomo Cappon;Andrea Facchinetti;Giovanni Sparacino
Andrea Facchinetti;Simone Del Favero;Giovanni Sparacino;Jessica R. Castle
Andrea Facchinetti;Giovanni Sparacino;Stefania Guerra;Yoeri M. Luijf
Giada Acciaroli;Martina Vettoretti;Andrea Facchinetti;Giovanni Sparacino
Giovanni Sparacino;Andrea Facchinetti;Claudio Cobelli
Gianluigi Pillonetto;Giovanni Sparacino;Claudio Cobelli
Martina Vettoretti;Andrea Facchinetti;Giovanni Sparacino;Claudio Cobelli
S. Guerra;A. Facchinetti;G. Sparacino;G. De Nicolao
C. Zecchin;A. Facchinetti;G. Sparacino;C. Cobelli
Andrea Facchinetti;Simone Del Favero;Giovanni Sparacino;Claudio Cobelli
Gian Paolo Fadini;Mario Luca Morieri;Enrico Longato;Benedetta Maria Bonora
Giovanni Sparacino;Andrea Facchinetti;Alberto Maran;Claudio Cobelli
Martina Vettoretti;Giacomo Cappon;Giada Acciaroli;Andrea Facchinetti
C. Zecchin;A. Facchinetti;G. Sparacino;G. De Nicolao
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