H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 71 Citations 19,020 366 World Ranking 253 National Ranking 124

Research.com Recognitions

Awards & Achievements

2010 - Fellow of the American Association for the Advancement of Science (AAAS)

2008 - IEEE Fellow For contributions to nonlinear process control and analysis for biological systems

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Gene
  • Statistics

Francis J. Doyle spends much of his time researching Artificial pancreas, Control theory, Model predictive control, Type 1 diabetes and Diabetes mellitus. His Artificial pancreas study combines topics from a wide range of disciplines, such as Meal, Clinical trial, Surgery and Continuous glucose monitoring. He has researched Control theory in several fields, including Control engineering and Process control.

Francis J. Doyle combines subjects such as Kalman filter, Multivariable calculus and System identification with his study of Model predictive control. The study incorporates disciplines such as Hypoglycemia and Basal insulin in addition to Type 1 diabetes. His Diabetes mellitus study incorporates themes from Internal medicine and Insulin.

His most cited work include:

  • Robustness of cellular functions (899 citations)
  • Dynamic Flux Balance Analysis of Diauxic Growth in Escherichia coli (647 citations)
  • International Consensus on Use of Continuous Glucose Monitoring (548 citations)

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

Francis J. Doyle focuses on Control theory, Model predictive control, Artificial pancreas, Type 1 diabetes and Nonlinear system. His work carried out in the field of Control theory brings together such families of science as Control engineering and Process control. His Model predictive control study integrates concerns from other disciplines, such as Linear model, Robustness and Circadian rhythm.

His research integrates issues of Meal, Insulin delivery, Surgery and Insulin pump in his study of Artificial pancreas. His study in Type 1 diabetes is interdisciplinary in nature, drawing from both Hypoglycemia, Internal medicine and Insulin. His research links Mathematical optimization with Nonlinear system.

He most often published in these fields:

  • Control theory (33.45%)
  • Model predictive control (20.17%)
  • Artificial pancreas (21.38%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial pancreas (21.38%)
  • Type 1 diabetes (20.52%)
  • Model predictive control (20.17%)

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

His primary areas of study are Artificial pancreas, Type 1 diabetes, Model predictive control, Internal medicine and Diabetes mellitus. His study on Artificial pancreas also encompasses disciplines like

  • Control theory that connect with fields like Robustness,
  • Crossover that connect with fields like PID controller and Meal. Francis J. Doyle interconnects Hypoglycemia, Insulin and Glycemic in the investigation of issues within Type 1 diabetes.

His Model predictive control research includes themes of Control theory, Insulin sensitivity, Circadian clock, Circadian rhythm and Blood sugar regulation. The Limit cycle and Nonlinear system research Francis J. Doyle does as part of his general Control theory study is frequently linked to other disciplines of science, such as Weighting, therefore creating a link between diverse domains of science. His Diabetes mellitus research incorporates elements of Physical therapy, Surgery and MEDLINE.

Between 2015 and 2021, his most popular works were:

  • International Consensus on Use of Continuous Glucose Monitoring (548 citations)
  • Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (499 citations)
  • Six-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes (129 citations)

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

  • Internal medicine
  • Gene
  • Artificial intelligence

The scientist’s investigation covers issues in Artificial pancreas, Type 1 diabetes, Hypoglycemia, Internal medicine and Model predictive control. He combines subjects such as Control theory, Clinical trial and Insulin, Glycemic with his study of Artificial pancreas. His study on Hypoglycemia is covered under Diabetes mellitus.

His Internal medicine study combines topics in areas such as Endocrinology, Methylation, Oncology, DNA methylation and Cardiology. His work carried out in the field of Model predictive control brings together such families of science as PID controller, Embedded system, Control theory and Bolus. The concepts of his Control theory study are interwoven with issues in Phase response curve, Interval and Phase synchronization.

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

Robustness of cellular functions

Jörg Stelling;Uwe Sauer;Zoltan Szallasi;Francis J. Doyle.
Cell (2004)

1133 Citations

Dynamic Flux Balance Analysis of Diauxic Growth in Escherichia coli

Radhakrishnan Mahadevan;Jeremy S. Edwards;Francis J. Doyle.
Biophysical Journal (2002)

855 Citations

International Consensus on Use of Continuous Glucose Monitoring

Thomas Danne;Revital Nimri;Tadej Battelino;Richard M. Bergenstal.
Diabetes Care (2017)

827 Citations

Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range

Tadej Battelino;Thomas Danne;Richard M. Bergenstal;Stephanie A. Amiel.
Diabetes Care (2019)

753 Citations

Intercellular Coupling Confers Robustness against Mutations in the SCN Circadian Clock Network

Andrew C. Liu;Andrew C. Liu;David K. Welsh;David K. Welsh;David K. Welsh;Caroline H. Ko;Caroline H. Ko;Hien G. Tran;Hien G. Tran.
Cell (2007)

683 Citations

Survey on iterative learning control, repetitive control, and run-to-run control

Youqing Wang;Furong Gao;Francis J. Doyle.
Journal of Process Control (2009)

679 Citations

A model-based algorithm for blood glucose control in Type I diabetic patients

R.S. Parker;F.J. Doyle;N.A. Peppas.
IEEE Transactions on Biomedical Engineering (1999)

655 Citations

Robust H∞ glucose control in diabetes using a physiological model

Robert S. Parker;Francis J. Doyle;Jennifer H. Ward;Nicholas A. Peppas.
Aiche Journal (2000)

484 Citations

Method and apparatus for glucose control and insulin dosing for diabetics

Francis J. Doyle;Lois Jovanovic.
(2005)

455 Citations

Nonlinear model-based control using second-order Volterra models

Francis J. Doyle;Francis J. Doyle;Babatunde A. Ogunnaike;Ronald K. Pearson.
Automatica (1995)

400 Citations

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