Simone Del Favero

3.9k total citations · 1 hit paper
95 papers, 1.9k citations indexed

About

Simone Del Favero is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Simone Del Favero has authored 95 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Endocrinology, Diabetes and Metabolism, 47 papers in Surgery and 43 papers in Genetics. Recurrent topics in Simone Del Favero's work include Diabetes Management and Research (75 papers), Pancreatic function and diabetes (45 papers) and Diabetes and associated disorders (42 papers). Simone Del Favero is often cited by papers focused on Diabetes Management and Research (75 papers), Pancreatic function and diabetes (45 papers) and Diabetes and associated disorders (42 papers). Simone Del Favero collaborates with scholars based in Italy, United States and France. Simone Del Favero's co-authors include Claudio Cobelli, Andrea Facchinetti, Giovanni Sparacino, Lalo Magni, Chiara Toffanin, Martina Vettoretti, Éric Renard, Boris Kovatchev, Giacomo Cappon and Daniela Bruttomesso and has published in prestigious journals such as Diabetes Care, Diabetes and Scientific Reports.

In The Last Decade

Simone Del Favero

88 papers receiving 1.9k citations

Hit Papers

The importance of interpr... 2023 2026 2024 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simone Del Favero Italy 25 1.4k 1.0k 790 204 165 95 1.9k
Stephen D. Patek United States 23 1.5k 1.0× 1.2k 1.2× 922 1.2× 116 0.6× 99 0.6× 102 2.2k
Josep Vehı́ Spain 29 1.6k 1.1× 854 0.9× 710 0.9× 219 1.1× 193 1.2× 159 2.8k
Martina Vettoretti Italy 19 1.1k 0.7× 637 0.6× 530 0.7× 138 0.7× 278 1.7× 60 1.7k
Jorge Bondía Spain 24 1.2k 0.8× 808 0.8× 537 0.7× 116 0.6× 128 0.8× 117 1.5k
Kamuran Turksoy United States 23 1.2k 0.8× 829 0.8× 605 0.8× 219 1.1× 128 0.8× 41 1.4k
Chiara Toffanin Italy 20 1.2k 0.8× 941 0.9× 688 0.9× 147 0.7× 78 0.5× 56 1.4k
Elizabeth Littlejohn United States 23 951 0.7× 598 0.6× 463 0.6× 168 0.8× 87 0.5× 45 1.4k
Andrea Facchinetti Italy 38 3.3k 2.3× 1.8k 1.8× 1.6k 2.0× 488 2.4× 704 4.3× 156 4.6k
Mudassir Rashid United States 24 644 0.4× 393 0.4× 238 0.3× 187 0.9× 159 1.0× 77 1.4k
Iman Hajizadeh United States 22 701 0.5× 460 0.5× 316 0.4× 184 0.9× 141 0.9× 51 1.1k

Countries citing papers authored by Simone Del Favero

Since Specialization
Citations

This map shows the geographic impact of Simone Del Favero's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simone Del Favero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Del Favero more than expected).

Fields of papers citing papers by Simone Del Favero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simone Del Favero. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simone Del Favero. The network helps show where Simone Del Favero may publish in the future.

Co-authorship network of co-authors of Simone Del Favero

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Del Favero. A scholar is included among the top collaborators of Simone Del Favero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simone Del Favero. Simone Del Favero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Facchinetti, Andrea, et al.. (2025). Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors Data. IEEE Transactions on Biomedical Engineering. 72(7). 2157–2167.
2.
Facchinetti, Andrea, et al.. (2024). Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D Management. IEEE Journal of Biomedical and Health Informatics. 29(2). 1383–1396.
3.
Herzig, David, Gemma Reverter‐Branchat, Michele Schiavon, et al.. (2023). Counter-regulatory responses to postprandial hypoglycaemia in patients with post-bariatric hypoglycaemia vs surgical and non-surgical control individuals. Diabetologia. 66(4). 741–753. 10 indexed citations
4.
Díez, José-Luis, et al.. (2022). Super–twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario. Computer Methods and Programs in Biomedicine. 219. 106736–106736. 5 indexed citations
5.
Vettoretti, Martina, et al.. (2022). Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach. Computer Methods and Programs in Biomedicine. 221. 106862–106862. 4 indexed citations
6.
Favero, Simone Del, et al.. (2021). Toward an Optimal Definition of Hypoglycemia with Continuous Glucose Monitoring. Computer Methods and Programs in Biomedicine. 209. 106303–106303. 6 indexed citations
8.
Vettoretti, Martina, et al.. (2020). Modeling Carbohydrate Counting Error in Type 1 Diabetes Management. Diabetes Technology & Therapeutics. 22(10). 749–759. 29 indexed citations
9.
Noaro, Giulia, Giacomo Cappon, Martina Vettoretti, et al.. (2020). Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy. IEEE Transactions on Biomedical Engineering. 68(1). 247–255. 35 indexed citations
10.
Vettoretti, Martina, Andrea Facchinetti, Giovanni Sparacino, et al.. (2020). An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia. Scientific Reports. 10(1). 18180–18180. 10 indexed citations
11.
Vettoretti, Martina, et al.. (2019). A Real-Time Continuous Glucose Monitoring–Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic Events. Diabetes Technology & Therapeutics. 21(11). 644–655. 17 indexed citations
12.
Vettoretti, Martina, Simone Del Favero, Giovanni Sparacino, & Andrea Facchinetti. (2019). Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data. PubMed. 2019. 750–753. 9 indexed citations
13.
Garcia‐Tirado, José, et al.. (2018). Black-box Model Identification of Physical Activity in Type-l Diabetes Patients. PubMed. 2018. 3910–3913. 8 indexed citations
14.
Messori, Mirko, Jort Kropff, Simone Del Favero, et al.. (2017). Individually Adaptive Artificial Pancreas in Subjects with Type 1 Diabetes: A One-Month Proof-of-Concept Trial in Free-Living Conditions. Diabetes Technology & Therapeutics. 19(10). 560–571. 43 indexed citations
15.
Favero, Simone Del, Andrea Facchinetti, Giovanni Sparacino, & Claudio Cobelli. (2015). Retrofitting of Continuous Glucose Monitoring Traces Allows More Accurate Assessment of Glucose Control in Outpatient Studies. Diabetes Technology & Therapeutics. 17(5). 355–363. 8 indexed citations
16.
Brown, Sue A., Boris Kovatchev, Marc D. Breton, et al.. (2015). Multinight “Bedside” Closed-Loop Control for Patients with Type 1 Diabetes. Diabetes Technology & Therapeutics. 17(3). 203–209. 39 indexed citations
17.
Favero, Simone Del, Daniela Bruttomesso, Federico Di Palma, et al.. (2014). First Use of Model Predictive Control in Outpatient Wearable Artificial Pancreas. Diabetes Care. 37(5). 1212–1215. 76 indexed citations
18.
Pillonetto, Gianluigi, Bradley M. Bell, & Simone Del Favero. (2013). Distributed Kalman smoothing in static Bayesian networks. Automatica. 49(4). 1001–1011. 4 indexed citations
19.
Varagnolo, Damiano, Simone Del Favero, Francesco Dinuzzo, Luca Schenato, & Gianluigi Pillonetto. (2013). Finding Potential Support Vectors in Separable Classification Problems. IEEE Transactions on Neural Networks and Learning Systems. 24(11). 1799–1813. 1 indexed citations
20.
Favero, Simone Del, Andrea Facchinetti, & Claudio Cobelli. (2012). A Glucose-Specific Metric to Assess Predictors and Identify Models. IEEE Transactions on Biomedical Engineering. 59(5). 1281–1290. 37 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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