H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 88 Citations 36,693 617 World Ranking 65 National Ranking 4

Research.com Recognitions

Awards & Achievements

2017 - Fellow of the International Federation of Automatic Control (IFAC)

2009 - SIAM Fellow For contributions to the stability analysis and control of dynamical systems.

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Control theory
  • Cancer

David J. Hill focuses on Control theory, Electric power system, Pediatrics, Allergy and Food allergy. His Control theory study frequently links to adjacent areas such as Control engineering. His Electric power system study combines topics in areas such as Electrical network, Voltage regulation, Voltage, Fault and Transient.

David J. Hill works mostly in the field of Pediatrics, limiting it down to topics relating to Asthma and, in certain cases, Odds ratio, as a part of the same area of interest. David J. Hill combines subjects such as Risk factor and Atopic dermatitis with his study of Allergy. His Control theory study integrates concerns from other disciplines, such as Control system and Synchronization.

His most cited work include:

  • Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions (2469 citations)
  • The stability of nonlinear dissipative systems (889 citations)
  • Why children start smoking cigarettes: predictors of onset. (790 citations)

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

His primary scientific interests are in Control theory, Electric power system, Polymer chemistry, Nonlinear system and Polymer. Control theory is closely attributed to Control engineering in his research. His Electric power system research integrates issues from Mathematical optimization, Transient and Voltage.

His research in Polymer chemistry intersects with topics in Copolymer, Polymerization, Radical, Radiolysis and Chemical engineering. His research on Radical frequently links to adjacent areas such as Photochemistry. His biological study focuses on Nonlinear control.

He most often published in these fields:

  • Control theory (25.70%)
  • Electric power system (14.16%)
  • Polymer chemistry (11.79%)

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

  • Control theory (25.70%)
  • Electric power system (14.16%)
  • Power (4.43%)

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

His scientific interests lie mostly in Control theory, Electric power system, Power, Voltage and Mathematical optimization. His Control theory research incorporates themes from AC power and Transient. AC power is closely attributed to Control in his study.

His Electric power system research incorporates elements of Stability, Reliability engineering, Control engineering, Network topology and Renewable energy. He combines topics linked to Energy storage with his work on Renewable energy. The Voltage study combines topics in areas such as Distributed generation and Flexibility.

Between 2015 and 2021, his most popular works were:

  • Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network (495 citations)
  • Media and Young Minds (358 citations)
  • Short-Term Residential Load Forecasting Based on Resident Behaviour Learning (217 citations)

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

  • Internal medicine
  • Cancer
  • Disease

David J. Hill mainly focuses on Electric power system, Control theory, Mathematical optimization, Power and Anxiety. His Electric power system study combines topics in areas such as Stability, Reliability engineering, Electricity market and Renewable energy. His Stability study frequently draws connections to adjacent fields such as Control engineering.

His studies deal with areas such as Wind power and AC power as well as Control theory. His Mathematical optimization research is multidisciplinary, relying on both Convergence, Computation, Energy management and Dynamic load testing. David J. Hill has researched Anxiety in several fields, including Distress and Depression.

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.

Top Publications

Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions

P. Kundur;J. Paserba;V. Ajjarapu;G. Andersson.
IEEE Transactions on Power Systems (2004)

3364 Citations

Why children start smoking cigarettes: predictors of onset.

Karen M. Conrad;Brian R. Flay;David Hill.
Addiction (1992)

1183 Citations

The stability of nonlinear dissipative systems

D. Hill;P. Moylan.
IEEE Transactions on Automatic Control (1976)

1178 Citations

Stability and L2-gain analysis for switched delay systems: A delay-dependent method

Xi-Ming Sun;Jun Zhao;David J. Hill.
Automatica (2006)

782 Citations

On stability, L2-gain and H∞ control for switched systems

Jun Zhao;David J. Hill.
Automatica (2008)

698 Citations

Design issues in adaptive control

R.H. Middleton;G.C. Goodwin;D.J. Hill;D.Q. Mayne.
IEEE Transactions on Automatic Control (1988)

694 Citations

Dissipative Dynamical Systems: Basic Input-Output and State Properties

David J. Hill;Peter J. Moylan.
Journal of The Franklin Institute-engineering and Applied Mathematics (1980)

690 Citations

Specificity of allergen skin testing in predicting positive open food challenges to milk, egg and peanut in children

R. Sporik;D. J. Hill;C. S. Hosking.
Clinical & Experimental Allergy (2000)

675 Citations

A Structure Preserving Model for Power System Stability Analysis

A.R. Bergen;D.J. Hill.
IEEE Transactions on Power Apparatus and Systems (1981)

630 Citations

Reduced interferon-γ secretion in neonates and subsequent atopy

M.L.K Tang;A.S Kemp;D.J Hill;J Thorburn.
The Lancet (1994)

615 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Contact us

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