D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index 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. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 33 Citations 8,303 93 World Ranking 2744 National Ranking 1111

Research.com Recognitions

Awards & Achievements

2011 - Hellman Fellow

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Microeconomics
  • Electrical engineering

The scientist’s investigation covers issues in Electricity, Control engineering, Electric power system, Mathematical optimization and Demand response. His research in Electricity intersects with topics in Stochastic programming, Power management, Automotive engineering and Electric vehicle. The study incorporates disciplines such as Control system and Controllability in addition to Control engineering.

His research integrates issues of Load regulation and Control theory in his study of Electric power system. His Mathematical optimization study combines topics in areas such as Arbitrage, Game theory and Electricity market. Duncan S. Callaway combines subjects such as Model predictive control and Energy storage with his study of Demand response.

His most cited work include:

  • Network Robustness and Fragility: Percolation on Random Graphs (1807 citations)
  • Achieving Controllability of Electric Loads (873 citations)
  • Decentralized Charging Control of Large Populations of Plug-in Electric Vehicles (676 citations)

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

Electric power system, Renewable energy, Mathematical optimization, Electricity and Demand response are his primary areas of study. His studies in Electric power system integrate themes in fields like Control engineering, Control theory, Control theory and Load regulation. His Automatic Generation Control research extends to the thematically linked field of Control engineering.

His study in Renewable energy is interdisciplinary in nature, drawing from both Wind power, Environmental economics and Energy storage. His Mathematical optimization research includes elements of Convergence, Game theory and Dual. His work carried out in the field of Electricity brings together such families of science as Power management and Automotive engineering.

He most often published in these fields:

  • Electric power system (27.63%)
  • Renewable energy (21.05%)
  • Mathematical optimization (18.42%)

What were the highlights of his more recent work (between 2019-2021)?

  • Electric power system (27.63%)
  • Mathematical optimization (18.42%)
  • Control theory (12.50%)

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

His main research concerns Electric power system, Mathematical optimization, Control theory, Demand response and Distributed generation. His Electric power system research incorporates elements of Risk analysis, Inverter, Renewable energy and Control theory. His biological study spans a wide range of topics, including Load management and Economic dispatch.

His Control theory study improves the overall literature in Control engineering. His Demand response study combines topics from a wide range of disciplines, such as Energy consumption, Regret and Energy management. He has included themes like Electricity generation, Voltage regulation, Optimal control and Power flow in his Distributed generation study.

Between 2019 and 2021, his most popular works were:

  • Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning (22 citations)
  • Dynamic and Distributed Online Convex Optimization for Demand Response of Commercial Buildings (6 citations)
  • Linear Single- and Three-Phase Voltage Forecasting and Bayesian State Estimation with Limited Sensing (6 citations)

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

  • Statistics
  • Electrical engineering
  • Microeconomics

Duncan S. Callaway spends much of his time researching Electric power system, Distribution system, Control theory, Mathematical optimization and Renewable generation. His Electric power system research is multidisciplinary, incorporating elements of Stability, Sensitivity, Power electronics, Electric power transmission and Voltage source. His Distribution system research spans across into fields like Distribution networks, Power flow, Rate distortion, Voltage and Decentralised system.

His Control theory study integrates concerns from other disciplines, such as Converters and Model predictive control. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Dual, Order, Decision problem, Economic dispatch and Look-ahead. The Renewable generation study combines topics in areas such as Risk analysis and Frequency regulation.

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

Network Robustness and Fragility: Percolation on Random Graphs

Duncan S. Callaway;M. E. J. Newman;M. E. J. Newman;Steven H. Strogatz;Duncan J. Watts;Duncan J. Watts.
Physical Review Letters (2000)

2677 Citations

Achieving Controllability of Electric Loads

D S Callaway;I A Hiskens.
Proceedings of the IEEE (2011)

1157 Citations

Decentralized Charging Control of Large Populations of Plug-in Electric Vehicles

Zhongjing Ma;D. S. Callaway;I. A. Hiskens.
IEEE Transactions on Control Systems and Technology (2013)

1069 Citations

Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy

Duncan S. Callaway.
Energy Conversion and Management (2009)

810 Citations

Persistence of HIV-1 transcription in peripheral-blood mononuclear cells in patients receiving potent antiretroviral therapy

Manohar R. Furtado;Duncan S. Callaway;John P. Phair;Kevin J. Kunstman.
The New England Journal of Medicine (1999)

751 Citations

A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles

S J Moura;H K Fathy;D S Callaway;J L Stein.
IEEE Transactions on Control Systems and Technology (2011)

638 Citations

State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance

J. L. Mathieu;S. Koch;D. S. Callaway.
IEEE Transactions on Power Systems (2013)

532 Citations

Are randomly grown graphs really random

D. S. Callaway;J. E. Hopcroft;J. M. Kleinberg;M. E. J. Newman.
Physical Review E (2001)

504 Citations

HIV-1 Infection and Low Steady State Viral Loads

Duncan S. Callaway;Alan S. Perelson.
Bulletin of Mathematical Biology (2002)

417 Citations

Modeling and Control of Aggregated Heterogeneous Thermostatically Controlled Loads for Ancillary Services

Stephan Koch;Johanna L. Mathieu;Duncan S. Callaway.
power systems computation conference (2011)

346 Citations

Best Scientists Citing Duncan S. Callaway

Goran Andersson

Goran Andersson

ETH Zurich

Publications: 48

Ahmed M. Elaiw

Ahmed M. Elaiw

King Abdulaziz University

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Scott J. Moura

Scott J. Moura

University of California, Berkeley

Publications: 44

Steven H. Low

Steven H. Low

California Institute of Technology

Publications: 42

Alan S. Perelson

Alan S. Perelson

Los Alamos National Laboratory

Publications: 41

Yonghua Song

Yonghua Song

University of Macau

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Ian A. Hiskens

Ian A. Hiskens

University of Michigan–Ann Arbor

Publications: 34

Romualdo Pastor-Satorras

Romualdo Pastor-Satorras

Universitat Politècnica de Catalunya

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Sean P. Meyn

Sean P. Meyn

University of Florida

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Goran Strbac

Goran Strbac

Imperial College London

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John Lygeros

John Lygeros

ETH Zurich

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Anna Scaglione

Anna Scaglione

Arizona State University

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Hosam K. Fathy

Hosam K. Fathy

University of Maryland, College Park

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Ram Rajagopal

Ram Rajagopal

Stanford University

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David Angeli

David Angeli

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Soummya Kar

Soummya Kar

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

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