World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
49
Citations
11990
World Ranking
2899
National Ranking
1103

Ufuk Topcu 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 Ufuk Topcu 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: 369 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Ufuk Topcu 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 Ufuk Topcu 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: 49 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Ufuk Topcu is affiliated with The University of Texas at Austin in the United States. Their research spans several domains within computer science and engineering, with a focus on areas that intersect artificial intelligence, control theory, and formal methods.

The scientist has contributed extensively to the academic community, with publications numbered over 400 across several disciplines. Their main fields of study include:

  • Computer Science
  • Engineering

Within these broader fields, their work is categorized into multiple subfields, notably:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Management Science and Operations Research

Key topics addressed in their research include:

  • Reinforcement Learning in Robotics
  • Formal Methods in Verification
  • Machine Learning and Algorithms
  • Adversarial Robustness in Machine Learning
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Robotic Path Planning Algorithms

Their publication record is distributed across several frequent venues, highlighting their active presence in both control systems and artificial intelligence communities. Important publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Automatica
  • IEEE Transactions on Control of Network Systems

Notable recent papers authored or co-authored by Ufuk Topcu include:

  • "Class-Aware Adversarial Transformers for Medical Image Segmentation," 2022, PubMed
  • "Joint Inference of Reward Machines and Policies for Reinforcement Learning," 2020, Proceedings of the International Conference on Automated Planning and Scheduling
  • "Control strategies for COVID-19 epidemic with vaccination, shield immunity and quarantine: A metric temporal logic approach," 2021, PLoS ONE
  • "Constrained Cross-Entropy Method for Safe Reinforcement Learning," 2020, IEEE Transactions on Automatic Control
  • "Safe Reinforcement Learning via Shielding under Partial Observability," 2023, Proceedings of the AAAI Conference on Artificial Intelligence

Ufuk Topcu frequently collaborates with several researchers, with the most frequent coauthors being:

  • Zhe Xu
  • Murat Cubuktepe
  • Yue Yu
  • Mustafa O. Karabag
  • David Fridovich-Keil

Best Publications

  • Optimal decentralized protocol for electric vehicle charging

    Lingwen Gan;Ufuk Topcu;Steven H. Low

  • Exact Convex Relaxation of Optimal Power Flow in Radial Networks

    Lingwen Gan;Na Li;Ufuk Topcu;Steven H. Low

  • Safe Reinforcement Learning via Shielding

    Mohammed Alshiekh;Roderick Bloem;Rüdiger Ehlers;Bettina Könighofer

  • Design and Stability of Load-Side Primary Frequency Control in Power Systems

    Changhong Zhao;Ufuk Topcu;Na Li;Steven Low

  • Receding Horizon Temporal Logic Planning

    T. Wongpiromsarn;U. Topcu;R. M. Murray

  • Brief paper: Local stability analysis using simulations and sum-of-squares programming

    Ufuk Topcu;Andrew Packard;Peter Seiler

  • Differentially Private Distributed Constrained Optimization

    Shuo Han;Ufuk Topcu;George J. Pappas

  • Optimal power flow with large-scale storage integration

    Dennice Gayme;Ufuk Topcu

  • Receding horizon control for temporal logic specifications

    Tichakorn Wongpiromsarn;Ufuk Topcu;Richard M. Murray

  • TuLiP: a software toolbox for receding horizon temporal logic planning

    Tichakorn Wongpiromsarn;Ufuk Topcu;Necmiye Ozay;Huan Xu

  • A simple optimal power flow model with energy storage

    K. Mani Chandy;Steven H. Low;Ufuk Topcu;Huan Xu

  • Synthesis of Reactive Switching Protocols From Temporal Logic Specifications

    Jun Liu;N. Ozay;U. Topcu;R. M. Murray

  • Decentralized Multi-Agent Optimization via Dual Decomposition

    Håkan Terelius;Ufuk Topcu;Richard M. Murray

  • Robust control of uncertain Markov Decision Processes with temporal logic specifications

    Eric M. Wolff;Ufuk Topcu;Richard M. Murray

  • Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints

    Jie Fu;Ufuk Topcu

  • Receding horizon temporal logic planning for dynamical systems

    Tichakorn Wongpiromsarn;Ufuk Topcu;Richard M. Murray

  • Optimal Load Control via Frequency Measurement and Neighborhood Area Communication

    Changhong Zhao;Ufuk Topcu;Steven H. Low

  • Correct, Reactive, High-Level Robot Control

    Hadas Kress-Gazit;Tichakorn Wongpiromsarn;Ufuk Topcu

  • Imperceptible electrooculography graphene sensor system for human–robot interface

    Shideh Kabiri Ameri;Myungsoo Kim;Irene Agnes Kuang;Withanage K. Perera

  • Robust Region-of-Attraction Estimation

    U. Topcu;A.K. Packard;P. Seiler;G.J. Balas

  • Optimization-based trajectory generation with linear temporal logic specifications

    Eric M. Wolff;Ufuk Topcu;Richard M. Murray

Frequent Co-Authors

Richard M. Murray
Richard M. Murray California Institute of Technology
Steven H. Low
Steven H. Low California Institute of Technology
Andrew Packard
Andrew Packard University of California, Berkeley
Joost-Pieter Katoen
Joost-Pieter Katoen RWTH Aachen University
George J. Pappas
George J. Pappas University of Pennsylvania
Peter J. Seiler
Peter J. Seiler University of Michigan–Ann Arbor
Gary J. Balas
Gary J. Balas University of Minnesota
Na Li
Na Li Harvard University
Girish Chowdhary
Girish Chowdhary University of Illinois at Urbana-Champaign

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