World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
81
Citations
28391
World Ranking
489
National Ranking
226

Daniel S. Kirschen 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 Daniel S. Kirschen 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: 243 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Daniel S. Kirschen 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 Daniel S. Kirschen 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: 81 D-Index — 93rd percentile

93% 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

  • 2007 - IEEE Fellow For contributions to analysis of power system economics and power system security

Overview

Daniel S. Kirschen is affiliated with the University of Washington in the United States. Their research primarily focuses on the engineering field, with an emphasis on electrical and electronic engineering. They have contributed to areas including control and systems engineering, safety, risk, reliability and quality, civil and structural engineering, as well as renewable energy, sustainability and the environment.

The main topics of their work cover various aspects of power systems and energy management including:

  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Optimal Power Flow Distribution
  • Power System Reliability and Maintenance
  • Power System Optimization and Stability
  • Energy Load and Power Forecasting
  • Microgrid Control and Optimization

Frequent publication venues for their research include:

  • arXiv (Cornell University)
  • IEEE Transactions on Power Systems
  • iEnergy
  • Proceedings of the IEEE
  • 2022 IEEE Power & Energy Society General Meeting (PESGM)

Their collaborative work features coauthors such as:

  • Chongqing Kang
  • Lane D. Smith
  • Yaohua Cheng
  • Ning Zhang
  • Payman Arabshahi

Recent papers authored or coauthored by Daniel S. Kirschen include:

  • Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China, 2020, Applied Energy
  • Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding, 2020, IEEE Transactions on Power Systems
  • Estimating Demand Flexibility Using Siamese LSTM Neural Networks, 2021, IEEE Transactions on Power Systems
  • Bi-Level Volt/VAR Optimization in Distribution Networks With Smart PV Inverters, 2022, IEEE Transactions on Power Systems
  • Improved PV Forecasts for Capacity Firming, 2020, IEEE Access

In 2007, Daniel S. Kirschen was recognized as an IEEE Fellow for contributions to analysis of power system economics and power system security.

Best Publications

  • Fundamentals of power system economics

    Daniel Sadi Kirschen;Goran Strbac

  • Demand-side view of electricity markets

    D.S. Kirschen

  • Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment

    Bolun Xu;Alexandre Oudalov;Andreas Ulbig;Goran Andersson

  • Fundamentals of Power System Economics: Kirschen/Power System Economics

    Daniel Kirschen;Goran Strbac

  • Estimating the Spinning Reserve Requirements in Systems With Significant Wind Power Generation Penetration

    M.A. Ortega-Vazquez;D.S. Kirschen

  • Contributions of individual generators to loads and flows

    D. Kirschen;R. Allan;G. Strbac

  • Evaluating and Planning Flexibility in Sustainable Power Systems

    J. Ma;V. Silva;R. Belhomme;D. S. Kirschen

  • Factoring the elasticity of demand in electricity prices

    D.S. Kirschen;G. Strbac;P. Cumperayot;D. de Paiva Mendes

  • Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation

    S.J. Wang;S.M. Shahidehpour;D.S. Kirschen;S. Mokhtari

  • Model-Free Renewable Scenario Generation Using Generative Adversarial Networks

    Yize Chen;Yishen Wang;Daniel Kirschen;Baosen Zhang

  • Quantifying the Effect of Demand Response on Electricity Markets

    Chua-Liang Su;D. Kirschen

  • Decentralized Demand-Side Contribution to Primary Frequency Control

    Angel Molina-García;François Bouffard;Daniel S Kirschen

  • A model of PV generation suitable for stability analysis

    Yun Tiam Tan;D.S. Kirschen;N. Jenkins

  • State-of-the-art, challenges, and future trends in security constrained optimal power flow

    F. Capitanescu;J.L. Martinez Ramos;P. Panciatici;D. Kirschen

  • Factoring the Cycle Aging Cost of Batteries Participating in Electricity Markets

    Bolun Xu;Jinye Zhao;Tongxin Zheng;Eugene Litvinov

  • Optimal scheduling of spinning reserve

    H.B. Gooi;D.P. Mendes;K.R.W. Bell;D.S. Kirschen

  • Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network

    Hrvoje Pandzic;Yishen Wang;Ting Qiu;Yury Dvorkin

  • On-Line Efficiency Optimization of a Variable Frequency Induction Motor Drive

    Daniel S. Kirschen;Donald W. Novotny;Thomas A. Lipo

  • Dynamic economic dispatch: feasible and optimal solutions

    X.S. Han;H.B. Gooi;D.S. Kirschen

  • Optimizing the spinning reserve requirements using a cost/benefit analysis

    M. Ortega-Vazquez;D. Kirschen

  • Tracing active and reactive power between generators and loads using real and imaginary currents

    D. Kirschen;G. Strbac

  • Value of security: modeling time-dependent phenomena and weather conditions

    M. A. Rios;D. S. Kirschen;D. Jayaweera;D. P. Nedic

  • 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

Frequent Co-Authors

Yury Dvorkin
Yury Dvorkin New York University
Goran Strbac
Goran Strbac Imperial College London
Baosen Zhang
Baosen Zhang University of Washington
Ning Zhang
Ning Zhang Tsinghua University
Chongqing Kang
Chongqing Kang Tsinghua University
Qing Xia
Qing Xia Tsinghua University
Luis F. Ochoa
Luis F. Ochoa University of Melbourne
Jean-Paul Watson
Jean-Paul Watson Lawrence Livermore National Laboratory
Radha Poovendran
Radha Poovendran University of Washington
Linda Bushnell
Linda Bushnell University of Washington

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, expanding skill sets through related online degrees can open diverse career opportunities. A project manager bachelor degree is a valuable option for those interested in leading engineering projects and improving teamwork and planning abilities.

Balancing studies with professional and personal responsibilities is a common challenge. Fortunately, there are online degrees for working adults that offer flexible scheduling and accelerated pathways, enabling students to advance their careers without pausing their jobs.

For those interested in educational technology and training, exploring programs in instructional design can lead to roles in designing effective learning experiences for technical teams and organizations.

Additionally, competency based masters offer a personalized approach where students can progress by demonstrating skills and knowledge, which is ideal for professionals with prior experience seeking advanced credentials.

Choosing the right online degree pathway allows Electrical and Electronics Engineering students to broaden their expertise and adapt to evolving industry demands.

Best Scientists Citing Daniel S. Kirschen

Trending Scientists

Recently Published Articles