H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 33 Citations 4,225 105 World Ranking 4233 National Ranking 133

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Internal medicine
  • Diabetes mellitus

Giovanni Sparacino mainly investigates Continuous glucose monitoring, Diabetes mellitus, Real-time computing, Artificial neural network and Blood Glucose Self-Monitoring. His Continuous glucose monitoring research is multidisciplinary, incorporating elements of Normal range, Data mining and Econometrics. His study focuses on the intersection of Diabetes mellitus and fields such as Sugar with connections in the field of Insulin dose.

Giovanni Sparacino interconnects Artificial pancreas, Calibration, Embedded system and Big data in the investigation of issues within Real-time computing. His Artificial neural network study necessitates a more in-depth grasp of Artificial intelligence. His Blood Glucose Self-Monitoring study incorporates themes from Hypoglycemia and Autoregressive model.

His most cited work include:

  • Diabetes: Models, Signals, and Control (386 citations)
  • Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series (261 citations)
  • Nonparametric input estimation in physiological systems: problems, methods, and case studies (179 citations)

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

His scientific interests lie mostly in Continuous glucose monitoring, Artificial intelligence, Type 1 diabetes, Diabetes mellitus and Internal medicine. His Continuous glucose monitoring study also includes

  • Real-time computing that connect with fields like Calibration,
  • Biomedical engineering which intersects with area such as Deconvolution. His Artificial intelligence research integrates issues from Machine learning and Pattern recognition.

His work in Type 1 diabetes tackles topics such as Insulin which are related to areas like Bolus. His Diabetes mellitus course of study focuses on Sugar and Artificial pancreas. His research integrates issues of Endocrinology, Type 2 diabetes and Cardiology in his study of Internal medicine.

He most often published in these fields:

  • Continuous glucose monitoring (29.08%)
  • Artificial intelligence (21.43%)
  • Type 1 diabetes (18.37%)

What were the highlights of his more recent work (between 2018-2021)?

  • Type 1 diabetes (18.37%)
  • Diabetes mellitus (17.86%)
  • Internal medicine (15.31%)

In recent papers he was focusing on the following fields of study:

Giovanni Sparacino mainly focuses on Type 1 diabetes, Diabetes mellitus, Internal medicine, Artificial intelligence and Hypoglycemia. His Type 1 diabetes study combines topics in areas such as Meal, Insulin and Autoregressive model. His work deals with themes such as Myocardial infarction and Intensive care medicine, which intersect with Diabetes mellitus.

His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Continuous glucose monitoring, Confidence interval and Pattern recognition. The study incorporates disciplines such as Control engineering, Algorithm and Calibration in addition to Continuous glucose monitoring. His study in Hypoglycemia is interdisciplinary in nature, drawing from both Artificial neural network and Glycemic.

Between 2018 and 2021, his most popular works were:

  • Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications (50 citations)
  • Exposure to dipeptidyl-peptidase-4 inhibitors and COVID-19 among people with type 2 diabetes: A case-control study. (29 citations)
  • Diabetes diagnosis from administrative claims and estimation of the true prevalence of diabetes among 4.2 million individuals of the Veneto region (North East Italy). (18 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Internal medicine
  • Diabetes mellitus

His primary areas of study are Internal medicine, Diabetes mellitus, Type 1 diabetes, Hypoglycemia and Insulin. His Diabetes mellitus research includes themes of Stroke, Myocardial infarction, Heart failure and Intensive care medicine. His Intensive care medicine research includes elements of Continuous glucose monitoring and American diabetes association.

The concepts of his Type 1 diabetes study are interwoven with issues in Estimation theory, Real-time computing, Noise and Measure. His Hypoglycemia research incorporates elements of Artificial neural network, Audiology and Electroencephalography. His Insulin research is multidisciplinary, relying on both Bolus and Cardiology.

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)

493 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)

331 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)

248 Citations

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

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

220 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)

123 Citations

Modeling the Glucose Sensor Error

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

112 Citations

Wearable Continuous Glucose Monitoring Sensors: A Revolution in Diabetes Treatment

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

107 Citations

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

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

97 Citations

Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation.

Gianluigi Pillonetto;Giovanni Sparacino;Claudio Cobelli.
Bellman Prize in Mathematical Biosciences (2003)

96 Citations

Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach

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

93 Citations

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