D-Index & Metrics Best Publications

Giovanni Sparacino

University of Padua
Italy

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Engineering and Technology D-index 38 Citations 5,122 171 World Ranking 4277 National Ranking 139

Overview

What is he best known for?

The fields of study Giovanni Sparacino is best known for:

Biochemistry
Gene
In silico

Type 1 diabetes and Artificial pancreas are two areas of study in which Giovanni Sparacino engages in interdisciplinary research. Giovanni Sparacino carries out multidisciplinary research, doing studies in Artificial pancreas and Type 1 diabetes. His research on Diabetes mellitus often connects related areas such as Continuous glucose monitoring. His research is interdisciplinary, bridging the disciplines of Diabetes mellitus and Continuous glucose monitoring. His Endocrinology study frequently draws parallels with other fields, such as Insulin delivery. Giovanni Sparacino combines topics linked to Endocrinology with his work on Insulin delivery. He conducts interdisciplinary study in the fields of Statistics and Time series through his works. In his work, Giovanni Sparacino performs multidisciplinary research in Time series and Autoregressive model. In his works, he performs multidisciplinary study on Autoregressive model and Statistics.

His most cited work include:

Diabetes: Models, Signals, and Control (427 citations)
Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series (295 citations)

What are the main themes of his work throughout his whole career to date

His research investigates the link between Series (stratigraphy) and topics such as Paleontology that cross with problems in Context (archaeology). His Context (archaeology) study frequently intersects with other fields, such as Paleontology. While the research belongs to areas of Channel (broadcasting), he spends his time largely on the problem of Telecommunications, intersecting his research to questions surrounding Signal-to-noise ratio (imaging). His research links Telecommunications with Signal-to-noise ratio (imaging). He links relevant research areas such as Jump and Impulse (physics) in the realm of Quantum mechanics. His Impulse (physics) study often links to related topics such as Quantum mechanics. Artificial intelligence and False positive paradox are frequently intertwined in his study. His study on Endocrinology is mostly dedicated to connecting different topics, such as Glycemic. His Glycemic study frequently draws connections between adjacent fields such as Blood Glucose Self-Monitoring.

Giovanni Sparacino most often published in these fields:

Artificial intelligence (57.14%)
Endocrinology (50.00%)
Statistics (50.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Diabetes: Models, Signals, and Control

C. Cobelli;C. Dalla Man;G. Sparacino;L. Magni.
IEEE Reviews in Biomedical Engineering (2009)

534 Citations

Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series

G. Sparacino;F. Zanderigo;S. Corazza;A. Maran.
IEEE Transactions on Biomedical Engineering (2007)

361 Citations

Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring.

C Pérez-Gandía;A Facchinetti;G Sparacino;C Cobelli.
Diabetes Technology & Therapeutics (2010)

293 Citations

Nonparametric input estimation in physiological systems: problems, methods, and case studies

Giuseppe de Nicolao;Giovanni Sparacino;Claudio Cobelli.
Automatica (1997)

237 Citations

Wearable Continuous Glucose Monitoring Sensors: A Revolution in Diabetes Treatment

Giacomo Cappon;Giada Acciaroli;Martina Vettoretti;Andrea Facchinetti.
Electronics (2017)

148 Citations

Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration

C. Zecchin;A. Facchinetti;G. Sparacino;G. De Nicolao.
IEEE Transactions on Biomedical Engineering (2012)

146 Citations

Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications

Giacomo Cappon;Martina Vettoretti;Giovanni Sparacino;Andrea Facchinetti.
Diabetes & Metabolism Journal (2019)

146 Citations

Modeling the Glucose Sensor Error

Andrea Facchinetti;Simone Del Favero;Giovanni Sparacino;Jessica R. Castle.
IEEE Transactions on Biomedical Engineering (2014)

117 Citations

Real-Time Improvement of Continuous Glucose Monitoring Accuracy: The smart sensor concept

Andrea Facchinetti;Giovanni Sparacino;Stefania Guerra;Yoeri M. Luijf.
Diabetes Care (2013)

105 Citations

"Smart" Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues

Giovanni Sparacino;Andrea Facchinetti;Claudio Cobelli.
Sensors (2010)

103 Citations

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Frequent Co-Authors

External Links

Personal Website for Giovanni Sparacino