World's Best Scientists 2026 revealed!
Gabriela Hug

Gabriela Hug

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
10168
World Ranking
4517
National Ranking
70

Gabriela Hug publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Gabriela Hug sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 394 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Gabriela Hug D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Gabriela Hug sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Gabriela Hug is affiliated with ETH Zurich in Switzerland, where their research primarily focuses on engineering within the electrical and electronic engineering subfields. The research spans areas such as control and systems engineering, safety, risk, reliability and quality, artificial intelligence, and automotive engineering.

The scientist's work covers several main topics in energy systems and power engineering. These include:

  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Electric Power System Optimization
  • Power System Optimization and Stability
  • Integrated Energy Systems Optimization
  • Electric Vehicles and Infrastructure

Gabriela Hug has contributed extensively to scholarly publications, with a notable number of articles featured in key venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Power Systems
  • Electric Power Systems Research
  • IEEE Transactions on Smart Grid
  • Repository for Publications and Research Data (ETH Zurich)

Examples of recent papers include:

  • "Understanding Small-Signal Stability of Low-Inertia Systems," 2021, IEEE Transactions on Power Systems
  • "Towards Optimal System Scheduling With Synthetic Inertia Provision From Wind Turbines," 2020, IEEE Transactions on Power Systems
  • "Techno-economic analysis of PV-battery systems in Switzerland," 2022, Renewable and Sustainable Energy Reviews
  • "Online Ensemble Learning for Load Forecasting," 2020, IEEE Transactions on Power Systems
  • "Timescale Separation in Autonomous Optimization," 2021, Repository for Publications and Research Data (ETH Zurich)

The scientist frequently collaborates with other researchers, with co-authors including:

  • Petros Aristidou
  • Ognjen Stanojev
  • Mengshuo Jia
  • Uros Markovic
  • Jared Garrison

Gabriela Hug's body of work encompasses over 400 publications in engineering, with a strong emphasis on electrical and electronic engineering. Their research contributions explore optimization, stability, and control of power systems with applications in smart grids and integrated energy technologies.

Best Publications

  • Foundations and Challenges of Low-Inertia Systems (Invited Paper)

    Federico Milano;Florian Dorfler;Gabriela Hug;David J. Hill

  • Vulnerability Assessment of AC State Estimation With Respect to False Data Injection Cyber-Attacks

    G. Hug;J. A. Giampapa

  • Consensus + Innovations Approach for Distributed Multiagent Coordination in a Microgrid

    Gabriela Hug;Soummya Kar;Chenye Wu

  • Distributed robust economic dispatch in power systems: A consensus + innovations approach

    S. Kar;G. Hug

  • Toward Distributed/Decentralized DC Optimal Power Flow Implementation in Future Electric Power Systems

    Amin Kargarian;Javad Mohammadi;Junyao Guo;Sambuddha Chakrabarti

  • Distributed State Estimation and Energy Management in Smart Grids: A Consensus ${+}$ Innovations Approach

    Soummya Kar;Gabriela Hug;Javad Mohammadi;Jose M. F. Moura

  • Cooperative Control of Distributed Energy Storage Systems in a Microgrid

    Yinliang Xu;Wei Zhang;Gabriela Hug;Soummya Kar

  • Understanding Small-Signal Stability of Low-Inertia Systems

    Uros Markovic;Ognjen Stanojev;Petros Aristidou;Evangelos Vrettos

  • LQR-Based Adaptive Virtual Synchronous Machine for Power Systems With High Inverter Penetration

    Uros Markovic;Zhongda Chu;Petros Aristidou;Gabriela Hug

  • Energy Storage Sizing Taking Into Account Forecast Uncertainties and Receding Horizon Operation

    Kyri Baker;Gabriela Hug;Xin Li

  • Demand Response of Ancillary Service From Industrial Loads Coordinated With Energy Storage

    Xiao Zhang;Gabriela Hug;J. Zico Kolter;Iiro Harjunkoski

  • Estimating the benefits of electric vehicle smart charging at non-residential locations: A data-driven approach

    Emre Can Kara;Emre Can Kara;Jason S. MacDonald;Douglas Black;Mario Berges

  • Stochastic Unit Commitment in Low-Inertia Grids

    Matthieu Paturet;Uros Markovic;Stefanos Delikaraoglou;Evangelos Vrettos

  • Timescale Separation in Autonomous Optimization

    Adrian Hauswirth;Saverio Bolognani;Gabriela Hug;Florian Dorfler

  • Towards Optimal System Scheduling With Synthetic Inertia Provision From Wind Turbines

    Zhongda Chu;Uros Markovic;Gabriela Hug;Fei Teng

  • Techno-economic analysis of PV-battery systems in Switzerland.

    Xuejiao Han;Jared Garrison;Gabriela Hug

  • Convex Relaxations of Chance Constrained AC Optimal Power Flow

    Andreas Venzke;Lejla Halilbasic;Uros Markovic;Gabriela Hug

  • Convex Relaxations of Chance Constrained AC Optimal Power Flow

    Andreas Venzke;Lejla Halilbasic;Uros Markovic;Gabriela Hug

  • Intelligent Partitioning in Distributed Optimization of Electric Power Systems

    Junyao Guo;Gabriela Hug;Ozan K. Tonguz

  • A Case for Nonconvex Distributed Optimization in Large-Scale Power Systems

    Junyao Guo;Gabriela Hug;Ozan K. Tonguz

  • Data-driven Local Control Design using Optimization and Machine Learning Techniques

    Stavros Karagiannopoulos;Petros Aristidou;Gabriela Hug

  • Decomposed Stochastic Model Predictive Control for Optimal Dispatch of Storage and Generation

    Dinghuan Zhu;Gabriela Hug

  • Robust Power Flow and Three-Phase Power Flow Analyses

    Amritanshu Pandey;Marko Jereminov;Martin R. Wagner;David M. Bromberg

  • Projected gradient descent on Riemannian manifolds with applications to online power system optimization

    Adrian Hauswirth;Saverio Bolognani;Gabriela Hug;Florian Dorfler

Frequent Co-Authors

Soummya Kar
Soummya Kar Carnegie Mellon University
Larry Pileggi
Larry Pileggi Carnegie Mellon University
Ozan K. Tonguz
Ozan K. Tonguz Carnegie Mellon University
Duncan S. Callaway
Duncan S. Callaway University of California, Berkeley
Chen Shen
Chen Shen Tsinghua University
Iiro Harjunkoski
Iiro Harjunkoski Aalto University
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University
Olaf Schenk
Olaf Schenk Universita della Svizzera Italiana
Stephan W. Koch
Stephan W. Koch Philipp University of Marburg

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:

Best Scientists Citing Gabriela Hug

Trending Scientists

Recently Published Articles