World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 48 3032 2907 1140 1063 191 11420

Scott J. Moura publications per year

The chart shows the history of publications by Scott J. Moura between 2008 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Scott J. Moura published across 19 years, from 2008 to 2026, averaging 13.8 papers a year. Output peaked at 30 publications in 2025. 32 of the 262 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2008 to 2026. Vertical axis: number of publications, 0 to 30. Peak 30 publications in 2025. 2008: 1 publication 2009: 3 publications 2010: 6 publications 2011: 7 publications 2012: 7 publications 2013: 6 publications 2014: 9 publications 2015: 18 publications 2016: 13 publications 2017: 17 publications 2018: 18 publications 2019: 17 publications 2020: 27 publications 2021: 23 publications 2022: 13 publications 2023: 26 publications 2024: 19 publications 2025: 30 publications 2026: 2 publications
2008 2026

262 publications in total across all disciplines

View publications per year as a table
Scott J. Moura: publications per year, 2008 to 2026
Year Publications
2008 1
2009 3
2010 6
2011 7
2012 7
2013 6
2014 9
2015 18
2016 13
2017 17
2018 18
2019 17
2020 27
2021 23
2022 13
2023 26
2024 19
2025 30
2026 2
Total 262
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 174–193 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445 191
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 48 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134 48
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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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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