World's Best Scientists 2026 revealed!
Márk Jelasity

Márk Jelasity

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
8536
World Ranking
7910
National Ranking
13

Márk Jelasity 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 Márk Jelasity 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: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Márk Jelasity 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 Márk Jelasity 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: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Márk Jelasity is affiliated with the University of Szeged in Hungary. Their research primarily falls within the field of Computer Science, with a concentrated focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Mechanics, and Information Systems.

Their scientific work covers various topics, including:

  • Adversarial Robustness in Machine Learning
  • Privacy-Preserving Technologies in Data
  • Data Stream Mining Techniques
  • Peer-to-Peer Network Technologies
  • Anomaly Detection Techniques and Applications
  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition

Márk Jelasity has contributed to multiple publications, distributed across journals and conference proceedings. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Parallel and Distributed Computing
  • Scientia et Securitas
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers authored or co-authored by Márk Jelasity include:

  • "Decentralized learning works: An empirical comparison of gossip learning and federated learning", 2020, Journal of Parallel and Distributed Computing
  • "On Evaluating the Adversarial Robustness of Semantic Segmentation Models", 2023, arXiv (Cornell University)
  • "A mesterséges intelligencia néhány biztonsági vetülete", 2020, Scientia et Securitas
  • "Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off", 2024, arXiv (Cornell University)
  • "How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching", 2024, arXiv (Cornell University)

Their frequent co-authors include:

  • István Hegedűs
  • Gábor Danner
  • Levente Halmosi
  • Bálint Mohos
  • András Balogh

Best Publications

  • Gossip-based aggregation in large dynamic networks

    Márk Jelasity;Alberto Montresor;Ozalp Babaoglu

  • PeerSim: A scalable P2P simulator

    Alberto Montresor;Mark Jelasity

  • Gossip-based peer sampling

    Márk Jelasity;Spyros Voulgaris;Rachid Guerraoui;Anne-Marie Kermarrec

  • The peer sampling service: experimental evaluation of unstructured gossip-based implementations

    Márk Jelasity;Rachid Guerraoui;Anne-Marie Kermarrec;Maarten van Steen

  • Design patterns from biology for distributed computing

    Ozalp Babaoglu;Geoffrey Canright;Andreas Deutsch;Gianni A. Di Caro

  • T-Man: gossip-based overlay topology management

    Márk Jelasity;Ozalp Babaoglu

  • T-Man: Gossip-based fast overlay topology construction

    Márk Jelasity;Alberto Montresor;Ozalp Babaoglu

  • Epidemic-style proactive aggregation in large overlay networks

    M. Jelasity;A. Montresor

  • An integrated approach to characterize genetic interaction networks in yeast metabolism

    Balázs Szappanos;Károly Kovács;Béla Szamecz;Frantisek Honti;Frantisek Honti

  • A critical note on experimental research methodology in EC

    A.E. Eiben;M. Jelasity

  • A Framework for Distributed Evolutionary Algorithms

    Maribel García Arenas;Pierre Collet;A. E. Eiben;Márk Jelasity

  • Gossip Learning as a Decentralized Alternative to Federated Learning

    István Hegedűs;Gábor Danner;Márk Jelasity

  • A modular paradigm for building self-organizing peer-to-peer applications

    Mark Jelasity;Alberto Montresor;Ozalp Babaoglu

  • Gossip learning with linear models on fully distributed data

    Róbert Ormándi;István Hegedüs;Márk Jelasity

  • Decentralized learning works: An empirical comparison of gossip learning and federated learning

    István Hegedűs;Gábor Danner;Márk Jelasity

  • A robust and scalable peer-to-peer gossiping protocol

    Spyros Voulgaris;Márk Jelasity;Maarten van Steen

  • JA-BE-JA: A Distributed Algorithm for Balanced Graph Partitioning

    Fatemeh Rahimian;Amir H. Payberah;Sarunas Girdzijauskas;Mark Jelasity

  • Self-star Properties in Complex Information Systems

    O. Babaoglu;M. Jelasity;A. Montresor;C. Fetzer

  • Large-Scale Newscast Computing on the Internet

    M. Jelasity;M. van Steen

  • The self-star vision

    Ozalp Babaoglu;Márk Jelasity;Alberto Montresor;Christof Fetzer

  • Design Patterns from Biology for Distributed Computing

    Ozalp Babaoglu;G. Canright;A. Deutsch;G. Di Caro

Frequent Co-Authors

Alberto Montresor
Alberto Montresor University of Trento
Ozalp Babaoglu
Ozalp Babaoglu University of Bologna
Maarten van Steen
Maarten van Steen University of Twente
Stefano Leonardi
Stefano Leonardi Sapienza University of Rome
Anne-Marie Kermarrec
Anne-Marie Kermarrec École Polytechnique Fédérale de Lausanne
János Csirik
János Csirik University of Szeged
Tibor Gyimóthy
Tibor Gyimóthy University of Szeged
A. E. Eiben
A. E. Eiben Vrije Universiteit Amsterdam
Vittorio Maniezzo
Vittorio Maniezzo University of Bologna

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