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András György publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where András György sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

The last bar groups every scientist with 991 publications or more.

András György D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where András György sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

The last bar groups every scientist with 131 D-Index or more.

Overview

András György is affiliated with New York University Abu Dhabi in the United Arab Emirates. Their research primarily focuses on computer science, with significant contributions in artificial intelligence, management science and operations research, and electrical and electronic engineering. Their work also spans specialized areas such as computer networks and communications, and epidemiology.

The main topics covered in their research include advanced bandit algorithms, machine learning and algorithms, reinforcement learning in robotics, adversarial robustness in machine learning, age of information optimization, IoT networks and protocols, and domain adaptation with few-shot learning.

Among their recent publications are:

  • "The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection" (2020, IRIS UNIMORE - University of Modena and Reggio Emilia)
  • "A reinforcement learning approach to age of information in multi-user networks with HARQ" (2021, IRIS UNIMORE - University of Modena and Reggio Emilia)
  • "Author Correction: Perception, performance, and detectability of conversational artificial intelligence across 32 university courses" (2023, Scientific Reports)
  • "Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting" (2021, arXiv - Cornell University)
  • "On the Role of Neural Collapse in Transfer Learning" (2021, arXiv - Cornell University)

András György frequently publishes in venues such as arXiv (Cornell University), with 35 papers, IRIS UNIMORE (University of Modena and Reggio Emilia), Scientific Reports, IEEE Transactions on Information Forensics and Security, and IEEE Journal on Selected Areas in Communications.

The scientist regularly collaborates with several coauthors, including:

  • Csaba Szepesvári (10 joint papers)
  • Denız Gündüz (6 joint papers)
  • Claire Vernade (5 joint papers)
  • Gellért Weisz (5 joint papers)
  • Elif Tuğçe Ceran (4 joint papers)

Best Publications

  • Average Age of Information With Hybrid ARQ Under a Resource Constraint

    Elif Tugce Ceran;Deniz Gunduz;Andras Gyorgy

  • The On-Line Shortest Path Problem Under Partial Monitoring

    András György;Tamás Linder;Gábor Lugosi;György Ottucsák

  • Online Learning under Delayed Feedback

    Pooria Joulani;Andras Gyorgy;Csaba Szepesvari

  • Degenerate Feedback Loops in Recommender Systems

    Ray Jiang;Silvia Chiappa;Tor Lattimore;András György

  • A Reinforcement-Learning Approach to Proactive Caching in Wireless Networks

    Samuel O. Somuyiwa;Andras Gyorgy;Deniz Gunduz

  • Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection.

    Andrea Paudice;Luis Muñoz-González;András György;Emil C. Lupu

  • Online Markov Decision Processes under Bandit Feedback

    Gergely Neu;Andras Antos;András György;Csaba Szepesvári

  • Optimal entropy-constrained scalar quantization of a uniform source

    A. Gyorgy;T. Linder

  • On the structure of optimal entropy-constrained scalar quantizers

    A. Gyorgy;T. Linder

  • Efficient Tracking of Large Classes of Experts

    A. Gyorgy;T. Linder;G. Lugosi

  • The adversarial stochastic shortest path problem with unknown transition probabilities

    Gergely Neu;András György;Csaba Szepesvári

  • High-dimensional random geometric graphs and their clique number

    Luc Devroye;András György;Gábor Lugosi;Frederic Udina

  • Efficient Multi-Start Strategies for Local Search Algorithms

    András György;Levente Kocsis

  • The Online Loop-free Stochastic Shortest-Path Problem.

    Gergely Neu;András György;Csaba Szepesvári

  • Reinforcement Learning to Minimize Age of Information with an Energy Harvesting Sensor with HARQ and Sensing Cost

    Elif Tugce Ceran;Deniz Gunduz;Andras Gyorgy

  • The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection

    Muhammad Zaid Hameed;Andras Gyorgy;Deniz Gunduz

  • Online Learning in Markov Decision Processes with Changing Cost Sequences

    Travis Dick;Andras Gyorgy;Csaba Szepesvari

  • Meta-learning of Sequential Strategies.

    Pedro A. Ortega;Jane X. Wang;Mark Rowland;Tim Genewein

  • Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities

    Ruitong Huang;Tor Lattimore;András György;Csaba Szepesvári

  • Efficient multi-start strategies for local search algorithms

    Levente Kocsis;András György

Frequent Co-Authors

Csaba Szepesvári
Csaba Szepesvári University of Alberta
Tamas Linder
Tamas Linder Queen's University
Deniz Gunduz
Deniz Gunduz Imperial College London
Gábor Lugosi
Gábor Lugosi Pompeu Fabra University
Balaji Lakshminarayanan
Balaji Lakshminarayanan Google (United States)
Michael Bowling
Michael Bowling University of Alberta
Dale Schuurmans
Dale Schuurmans University of Alberta
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Nicolas Heess
Nicolas Heess DeepMind (United Kingdom)
Wilsun Xu
Wilsun Xu University of Alberta

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