World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
48
Citations
11420
World Ranking
3032
National Ranking
1140

Scott J. Moura publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Scott J. Moura sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 191 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Scott J. Moura D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Scott J. Moura sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 48 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Scott J. Moura is affiliated with the University of California, Berkeley in the United States. Their research spans primarily engineering, with a focus on electrical and electronic engineering, automotive engineering, control and systems engineering, aerospace engineering, and industrial and manufacturing engineering.

The scientist's work covers several key topics, including:

  • Advanced Battery Technologies Research
  • Electric Vehicles and Infrastructure
  • Advancements in Battery Materials
  • Transportation and Mobility Innovations
  • Advanced Battery Materials and Technologies
  • Smart Grid Energy Management
  • Traffic control and management

Scott J. Moura has published extensively, with frequent contributions to venues such as:

  • arXiv (Cornell University)
  • Applied Energy
  • IFAC-PapersOnLine
  • IEEE Transactions on Control Systems Technology
  • SSRN Electronic Journal

Among recent papers are:

  • Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections, 2020, IEEE Internet of Things Journal
  • Integrating physics-based modeling with machine learning for lithium-ion batteries, 2022, Applied Energy
  • A Deep Reinforcement Learning Framework for Fast Charging of Li-Ion Batteries, 2022, IEEE Transactions on Transportation Electrification
  • Charging infrastructure demands of shared-use autonomous electric vehicles in urban areas, 2020, Transportation Research Part D Transport and Environment
  • Power-traffic network equilibrium incorporating behavioral theory: A potential game perspective, 2021, Applied Energy

Frequent coauthors have included:

  • Teng Zeng
  • Junzhe Shi
  • Saehong Park
  • Dong Zhang
  • Luis D. Couto

Best Publications

  • 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

  • Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles

    Chao Sun;Xiaosong Hu;Scott J. Moura;Fengchun Sun

  • Plug-in hybrid electric vehicle charge pattern optimization for energy cost and battery longevity

    Saeid Bashash;Scott J. Moura;Joel C. Forman;Hosam K. Fathy

  • Blockchains for decentralized optimization of energy resources in microgrid networks

    Eric Munsing;Jonathan Mather;Scott Moura

  • Battery State Estimation for a Single Particle Model With Electrolyte Dynamics

    Scott J. Moura;Federico Bribiesca Argomedo;Reinhardt Klein;Anahita Mirtabatabaei

  • Quantifying EV battery end-of-life through analysis of travel needs with vehicle powertrain models

    Samveg Saxena;Caroline Le Floch;Jason MacDonald;Scott Moura

  • Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array

    Xiaohua Wu;Xiaosong Hu;Scott Moura;Xiaofeng Yin

  • Genetic identification and fisher identifiability analysis of the Doyle–Fuller–Newman model from experimental cycling of a LiFePO4 cell

    Joel C. Forman;Scott J. Moura;Jeffrey L. Stein;Hosam K. Fathy

  • PEV Fast-Charging Station Siting and Sizing on Coupled Transportation and Power Networks

    Hongcai Zhang;Scott J. Moura;Zechun Hu;Yonghua Song

  • Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles

    Chao Sun;Scott Jason Moura;Xiaosong Hu;J. Karl Hedrick

  • Stochastic Optimal Energy Management of Smart Home With PEV Energy Storage

    Xiaohua Wu;Xiaosong Hu;Xiaofeng Yin;Scott J. Moura

  • Adaptive Partial Differential Equation Observer for Battery State-of-Charge/State-of-Health Estimation Via an Electrochemical Model

    Scott J. Moura;Nalin A. Chaturvedi;Miroslav Krstić

  • Optimal Charging of Li-Ion Batteries With Coupled Electro-Thermal-Aging Dynamics

    Hector Eduardo Perez;Xiaosong Hu;Satadru Dey;Scott J. Moura

  • Integrated Optimization of Battery Sizing, Charging, and Power Management in Plug-In Hybrid Electric Vehicles

    Xiaosong Hu;Scott J. Moura;Nikolce Murgovski;Bo Egardt

  • Efficient thermal management of Li-ion batteries with a passive interfacial thermal regulator based on a shape memory alloy

    Menglong Hao;Jian Li;Jian Li;Saehong Park;Scott Moura

  • Battery-Health Conscious Power Management in Plug-In Hybrid Electric Vehicles via Electrochemical Modeling and Stochastic Control

    S. J. Moura;J. L. Stein;H. K. Fathy

  • Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections

    Chao Sun;Jacopo Guanetti;Francesco Borrelli;Scott J. Moura

  • Power management system for a fuel cell/battery hybrid vehicle incorporating fuel cell and battery degradation

    Yongqiang Wang;Scott J. Moura;Suresh G. Advani;Ajay K. Prasad

  • Planning for electric vehicle needs by coupling charging profiles with urban mobility

    Yanyan Xu;Serdar Çolak;Serdar Çolak;Emre C. Kara;Scott J. Moura

  • Tradeoffs between battery energy capacity and stochastic optimal power management in plug-in hybrid electric vehicles

    Scott J. Moura;Duncan S. Callaway;Hosam K. Fathy;Jeffrey L. Stein

  • PDE estimation techniques for advanced battery management systems — Part II: SOH identification

    S. J. Moura;N. A. Chaturvedi;M. Krstic

  • State-of-Charge Estimation for Lithium-Ion Batteries Based on a Nonlinear Fractional Model

    Baojin Wang;Zhiyuan Liu;Shengbo Eben Li;Scott Jason Moura

Frequent Co-Authors

Hosam K. Fathy
Hosam K. Fathy University of Maryland, College Park
Jeffrey L. Stein
Jeffrey L. Stein University of Michigan–Ann Arbor
Miroslav Krstic
Miroslav Krstic University of California, San Diego
Xiaosong Hu
Xiaosong Hu Chongqing University
Yonghua Song
Yonghua Song University of Macau
Zechun Hu
Zechun Hu Tsinghua University
Satadru Dey
Satadru Dey Pennsylvania State University
Francesco Borrelli
Francesco Borrelli University of California, Berkeley
Fengchun Sun
Fengchun Sun Beijing Institute of Technology
Duncan S. Callaway
Duncan S. Callaway University of California, Berkeley

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