World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
8246
World Ranking
3547
National Ranking
1311

Fernando L. Alvarado 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 Fernando L. Alvarado 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: 128 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Fernando L. Alvarado 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 Fernando L. Alvarado 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: 45 D-Index — 50th percentile

50% 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

  • 1993 - IEEE Fellow For contributions to the understanding and utilization of sparse matrices in power system analysis.

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Programming language
  • Algorithm

Fernando L. Alvarado mostly deals with Electric power system, Control theory, Voltage, Electrical network and Computation. In the field of Electric power system, his study on Power-flow study overlaps with subjects such as Solution set. The concepts of his Control theory study are interwoven with issues in Power transmission, AC power and Electricity generation.

His Voltage research incorporates themes from Control system and Electronic engineering. His Electrical network study combines topics from a wide range of disciplines, such as Blackout and Saddle-node bifurcation, Bifurcation. As a member of one scientific family, Fernando L. Alvarado mostly works in the field of Computation, focusing on Sensitivity and, on occasion, Admittance.

His most cited work include:

  • Point of collapse and continuation methods for large AC/DC systems (546 citations)
  • Sensitivity of the loading margin to voltage collapse with respect to arbitrary parameters (336 citations)
  • Interval arithmetic in power flow analysis (225 citations)

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

His main research concerns Electric power system, Control theory, Algorithm, Electrical network and Computation. The various areas that Fernando L. Alvarado examines in his Electric power system study include Control engineering, Electronic engineering, Stability and Power transmission. His studies in Control theory integrate themes in fields like Power control, Transmission, Continuation and AC power, Voltage.

His Algorithm research is multidisciplinary, incorporating elements of Network topology, Sparse matrix and Triangular matrix. He combines subjects such as Transformer and Electric power transmission with his study of Electrical network. His Computation study integrates concerns from other disciplines, such as Real-time computing and Parallel processing.

He most often published in these fields:

  • Electric power system (44.32%)
  • Control theory (22.73%)
  • Algorithm (17.05%)

What were the highlights of his more recent work (between 1999-2016)?

  • Electric power system (44.32%)
  • Control theory (22.73%)
  • Microeconomics (10.23%)

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

Electric power system, Control theory, Microeconomics, Stability and Power-flow study are his primary areas of study. His biological study spans a wide range of topics, including Control system, Computation, Control engineering, Maximum power transfer theorem and Key. His Control system study incorporates themes from Voltage, Electronic engineering and Sensitivity.

His research in Control theory intersects with topics in Flow, Transmission, Continuation, Voltage stability and Power flow. His study looks at the relationship between Microeconomics and fields such as Risk analysis, as well as how they intersect with chemical problems. His studies deal with areas such as Market power, Reliability and Electrical engineering as well as Stability.

Between 1999 and 2016, his most popular works were:

  • Designing incentive compatible contracts for effective demand management (220 citations)
  • Using Utility Information to Calibrate Customer Demand Management Behavior Models (173 citations)
  • Sensitivity of Transfer Capability Margins with a Fast Formula (122 citations)

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

  • Electrical engineering
  • Programming language
  • Algorithm

His primary areas of study are Electric power system, Microeconomics, Stability, Control system and Control engineering. His Electric power system research integrates issues from Maximum power transfer theorem and Computation. His Incentive and Customer Cost study in the realm of Microeconomics connects with subjects such as Demand patterns and Data security.

His Stability research is multidisciplinary, relying on both Market power and Load regulation. His Control system research includes elements of Sensitivity, Electronic engineering and Voltage. The study incorporates disciplines such as System testing, Generator and Economic efficiency in addition to Control engineering.

Best Publications

  • Point of collapse and continuation methods for large AC/DC systems

    C.A. Canizares;F.L. Alvarado

  • Sensitivity of the loading margin to voltage collapse with respect to arbitrary parameters

    S. Greene;I. Dobson;F.L. Alvarado

  • Point of collapse methods applied to AC/DC power systems

    C.A. Canizares;F.L. Alvarado;C.L. DeMarco;I. Dobson

  • Interval arithmetic in power flow analysis

    Z. Wang;F.L. Alvarado

  • Computation of closest bifurcations in power systems

    F. Alvarado;I. Dobson;Yi Hu

  • SVC placement using critical modes of voltage instability

    Y. Mansour;Wilsun Xu;F. Alvarado;Chhewang Rinzin

  • Contingency ranking for voltage collapse via sensitivities from a single nose curve

    S. Greene;I. Dobson;F.L. Alvarado

  • Management of multiple congested conditions in unbundled operation of a power system

    H. Glatvitsch;F. Alvarado

  • Expandable multiterminal DC systems based on voltage droop

    B.K. Johnson;R.H. Lasseter;F.L. Alvarado;R. Adapa

  • Stability Analysis of Interconnected Power Systems Coupled with Market Dynamics

    F.L. Alvarado;J. Meng;C.L. DeMarco;W.S. Mota

  • The stability of power system markets

    F. Alvarado

  • Sensitivity of Transfer Capability Margins with a Fast Formula

    S. Greene;I. Dobson;F. L. Alvarado

  • Parallel processing in power systems computation

    Daniel Tylavsky;A. Bose;F. Alvarado;R. Betancourt

  • Parallel Solution of Transient Problems by Trapezoidal Integration

    Fernando L. Alvarado

  • Determination of location and amount of series compensation to increase power transfer capability

    R. Rajarman;F. Alvarado;A. Maniaci;R. Camfield

  • Determination of Needed FACTS Controllers That Increase Asset Utilization of Power Systems

    L.A.S. Pilotto;W.W. Ping;A.R. Carvalho;A. Wey

  • Nonlinear Frequency Dependent Transformer Model for Electromagnetic Transient Studies in Power Systems

    Jaime Avila-Rosales;Fernando L. Alvarado

  • Weighted Least Absolute Value state estimation using interior point methods

    H. Singh;F.L. Alvarado

  • Creating an Electromagnetic Transients Program in MATLAB: MatEMTP

    J. Mahseredjian;F. Alvarado

  • Designing cost effective demand management contracts using game theory

    M. Fahrioglu;F.L. Alvarado

  • Partitioned sparse A/sup -1/ methods (power systems)

    F.L. Alvarado;D.C. Yu;R. Betancourt

Frequent Co-Authors

Ian Dobson
Ian Dobson Iowa State University
Robert H. Lasseter
Robert H. Lasseter University of Wisconsin–Madison
Claudio A. Canizares
Claudio A. Canizares University of Waterloo
Alex Pothen
Alex Pothen Purdue University West Lafayette
William A. Sethares
William A. Sethares University of Wisconsin–Madison
Robert Schreiber
Robert Schreiber Cerebras Systems
M.A. Pai
M.A. Pai University of Illinois at Urbana-Champaign
Peter W. Sauer
Peter W. Sauer University of Illinois at Urbana-Champaign
Anjan Bose
Anjan Bose Washington State University
Felix F. Wu
Felix F. Wu University of Hong Kong

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