World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
12762
World Ranking
2157
National Ranking
845

Lamine Mili 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 Lamine Mili 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: 242 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Lamine Mili 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 Lamine Mili 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: 55 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to robust state estimation for power systems

Overview

Lamine Mili is affiliated with Virginia Tech in the United States and specializes in engineering with a focus on electrical and electronic engineering. Their research spans multiple subfields including control and systems engineering, statistical and nonlinear physics, artificial intelligence, and statistics, probability, and uncertainty.

Their work primarily concentrates on topics such as power system optimization and stability, optimal power flow distribution, probabilistic and robust engineering design, power system reliability and maintenance, model reduction and neural networks, energy load and power forecasting, and smart grid security and resilience.

Frequent publication venues for Lamine Mili include:

  • IEEE Transactions on Power Systems
  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Industrial Informatics
  • 2021 IEEE Power & Energy Society General Meeting (PESGM)

Lamine Mili has collaborated extensively with several coauthors, notably:

  • Yijun Xu
  • Jaber Valinejad
  • Mert Korkali
  • Junbo Zhao
  • Zongsheng Zheng

Recent papers include:

  • "Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation" (2020), IEEE Transactions on Power Systems
  • "Methods for Analysis and Quantification of Power System Resilience" (2022), IEEE Transactions on Power Systems
  • "Dynamic State Estimation for Power System Control and Protection" (2021), IEEE Transactions on Power Systems
  • "A Planning-Oriented Resilience Assessment Framework for Transmission Systems Under Typhoon Disasters" (2020), IEEE Transactions on Smart Grid
  • "A resilience assessment approach for power system from perspectives of system and component levels" (2020), International Journal of Electrical Power & Energy Systems

Lamine Mili was recognized as an IEEE Fellow in 2016 for contributions to robust state estimation for power systems.

Best Publications

  • Power system observability with minimal phasor measurement placement

    T. L. Baldwin;L. Mili;M. B. Boisen;R. Adapa

  • Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work

    Junbo Zhao;Antonio Gomez-Exposito;Marcos Netto;Lamine Mili

  • A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation

    Junbo Zhao;Marcos Netto;Lamine Mili

  • On the definition of cyber-physical resilience in power systems

    Reza Arghandeh;Alexandra von Meier;Laura Mehrmanesh;Lamine Mili

  • Robust state estimation based on projection statistics [of power systems]

    L. Mili;M.G. Cheniae;N.S. Vichare;P.J. Rousseeuw

  • Robust Kalman Filter Based on a Generalized Maximum-Likelihood-Type Estimator

    Mital A Gandhi;Lamine Mili

  • Power system stability agents using robust wide area control

    Hui Ni;Gerald T. Heydt;Lamine Mili

  • GECO: Global Event-Driven Co-Simulation Framework for Interconnected Power System and Communication Network

    Hua Lin;S. S. Veda;S. S. Shukla;L. Mili

  • Initial review of methods for cascading failure analysis in electric power transmission systems IEEE PES CAMS task force on understanding, prediction, mitigation and restoration of cascading failures

    R. Baldick;B. Chowdhury;I. Dobson;Zhaoyang Dong

  • Hypothesis Testing Identification: A New Method For Bad Data Analysis In Power System State Estimation

    L. Mili;Th. Van Cutsem;M. Ribbens-Pavella

  • Power system and communication network co-simulation for smart grid applications

    Hua Lin;Santhoshkumar Sambamoorthy;Sandeep Shukla;James Thorp

  • Bad Data Identification Methods In Power System State Estimation-A Comparative Study

    L. Mili;Th. Van Cutsem;M. Ribbens-Pavella

  • Least median of squares estimation in power systems

    L. Mili;V. Phaniraj;P.J. Rousseeuw

  • Robust Unscented Kalman Filter for Power System Dynamic State Estimation With Unknown Noise Statistics

    Junbo Zhao;Lamine Mili

  • Electric Load Forecasting Based on Statistical Robust Methods

    Y. Chakhchoukh;P. Panciatici;L. Mili

  • Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

    Junbo Zhao;Marcos Netto;Zhenyu Huang;Samson Shenglong Yu

  • Power System Stability Agents Using Robust Wide-Area Control

    Unknown

  • A Generalized False Data Injection Attacks Against Power System Nonlinear State Estimator and Countermeasures

    Junbo Zhao;Lamine Mili;Meng Wang

  • Catastrophic Failures in Power Systems: Causes, Analyses, and Countermeasures

    J. De La Ree;Yilu Liu;L. Mili;A.G. Phadke

  • Robust state estimation of electric power systems

    L. Mili;M.G. Cheniae;P.J. Rousseeuw

  • Composite Power System Vulnerability Evaluation to Cascading Failures Using Importance Sampling and Antithetic Variates

    Quan Chen;Lamine Mili

Frequent Co-Authors

Arun G. Phadke
Arun G. Phadke Virginia Tech
James S. Thorp
James S. Thorp Virginia Tech
Junbo Zhao
Junbo Zhao University of Connecticut
Sandeep K. Shukla
Sandeep K. Shukla International Institute of Information Technology, Hyderabad
Thierry Van Cutsem
Thierry Van Cutsem University of Liège
Fangxing Li
Fangxing Li University of Tennessee at Knoxville
Zhenyu Huang
Zhenyu Huang Pacific Northwest National Laboratory
Chen-Ching Liu
Chen-Ching Liu Virginia Tech
Ian Dobson
Ian Dobson Iowa State University

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