World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
17467
World Ranking
3199
National Ranking
1552

Gabor Karsai 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 Gabor Karsai 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+

This scientist: 399 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Gabor Karsai 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 Gabor Karsai 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+

This scientist: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Gabor Karsai is affiliated with Vanderbilt University in the United States. Their research spans multiple areas within computer science and engineering, covering topics such as artificial intelligence, software engineering, computer networks, control systems, and electrical engineering.

Their recent publications demonstrate a focus on software engineering methodologies and verification techniques. Notable recent papers include:

  • The Graph Rewriting and Transformation Language: GReAT (2024), published at Technische Universität Berlin - Universitätsbibliothek
  • Verifying Model Transformations by Structural Correspondence (2024), published in Electronic Communication of The European Association of Software Science and Technology
  • URMILA: Dynamically trading-off fog and edge resources for performance and mobility-aware IoT services (2020), published in Journal of Systems Architecture
  • Efficient Out-of-Distribution Detection Using Latent Space of β -VAE for Cyber-Physical Systems (2022), published in ACM Transactions on Cyber-Physical Systems
  • ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA (2022), presented at the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

Their frequent co-authors include Abhishek Dubey, Shreyas Ramakrishna, Daniel Balasubramanian, Hao Tu, and Srdjan Lukic.

Publication venues where they frequently contribute include:

  • arXiv (Cornell University)
  • Külgazdaság
  • Technische Universität Berlin - Universitätsbibliothek
  • Journal of Systems Architecture
  • TUGraz OPEN Library (Graz University of Technology)

The main fields of study for this researcher include:

  • Computer Science
  • Engineering

The subfields of study within these areas are:

  • Artificial Intelligence
  • Software
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Karsai's work addresses several main topics within their research fields, such as:

  • Model-Driven Software Engineering Techniques
  • Formal Methods in Verification
  • Advanced Software Engineering Methodologies
  • Software Reliability and Analysis Research
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Service-Oriented Architecture and Web Services

Best Publications

  • Software Engineering for Self-Adaptive Systems : A Second Research Roadmap

    Rogério de Lemos;Holger Giese;Hausi A. Müller;Mary Shaw

  • Smart Dust: communicating with a cubic-millimeter computer

    A. Ledeczi;A. Bakay;M. Maroti;P. Volgyesi

  • Software Engineering for Self-Adaptive Systems: A Research Roadmap

    Betty H. Cheng;Rogério Lemos;Holger Giese;Paola Inverardi

  • The Generic Modeling Environment

    Akos Ledeczi;Miklos Maroti;Arpad Bakay;Gabor Karsai

  • Model-integrated computing

    J. Sztipanovits;G. Karsai

  • Model-integrated development of embedded software

    G. Karsai;J. Sztipanovits;A. Ledeczi;T. Bapty

  • Toward a Science of Cyber–Physical System Integration

    J. Sztipanovits;X. Koutsoukos;G. Karsai;N. Kottenstette

  • Developing applications using model-driven design environments

    K. Balasubramanian;A. Gokhale;G. Karsai;J. Sztipanovits

  • Artificial neural networks applied to arc welding process modeling and control

    K. Andersen;G.E. Cook;G. Karsai;K. Ramaswamy

  • Metamodeling-rapid design and evolution of domain-specific modeling environments

    G. Nordstrom;J. Sztipanovits;G. Karsai;A. Ledeczi

  • On the Use of Graph Transformation in the Formal Specification of Model Interpreters

    Gabor Karsai;Aditya Agrawal;Feng Shi;Jonathan Sprinkle

  • Semantic Translation of Simulink/Stateflow Models to Hybrid Automata Using Graph Transformations

    Aditya Agrawal;Gyula Simon;Gabor Karsai

  • A domain-specific visual language for domain model evolution

    Jonathan Sprinkle;Gabor Karsai

  • The Graph Rewriting and Transformation Language: GReAT

    Daniel Balasubramanian;Anantha Narayanan;Christopher P. van Buskirk;Gabor Karsai

  • Constraint-based design-space exploration and model synthesis

    Sandeep Neema;Janos Sztipanovits;Gabor Karsai;Ken Butts

  • The design of a language for model transformations

    Aditya Agrawal;Gabor Karsai;Sandeep Neema;Feng Shi

  • Design Guidelines for Domain Specific Languages

    Gabor Karsai;Holger Krahn;Claas Pinkernell;Bernhard Rumpe

  • Graph Transformations on Domain-Specific Models

    Aditya Agrawal;Gabor Karsai;Feng Shi

  • Composition and cloning in modeling and meta-modeling

    G. Karsai;M. Maroti;A. Ledeczi;J. Gray

  • An end-to-end domain-driven software development framework

    Aditya Agrawal;Gabor Karsai;Akos Ledeczi

Frequent Co-Authors

Janos Sztipanovits
Janos Sztipanovits Vanderbilt University
Akos Ledeczi
Akos Ledeczi Vanderbilt University
Aniruddha Gokhale
Aniruddha Gokhale Vanderbilt University
Xenofon Koutsoukos
Xenofon Koutsoukos Vanderbilt University
Gautam Biswas
Gautam Biswas Vanderbilt University
Srdjan Lukic
Srdjan Lukic North Carolina State University
Arthur F. Witulski
Arthur F. Witulski Vanderbilt University
Ronald D. Schrimpf
Ronald D. Schrimpf Vanderbilt University
Holger Giese
Holger Giese Hasso Plattner Institute
Bernhard Rumpe
Bernhard Rumpe RWTH Aachen University

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