World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7277
World Ranking
11085
National Ranking
556

Ralf Reussner 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 Ralf Reussner 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: 351 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Ralf Reussner 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 Ralf Reussner 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Ralf Reussner is affiliated with the Karlsruhe Institute of Technology in Germany. Their research contributions primarily lie within the domain of Computer Science, with a significant focus on Information Systems.

Their work spans several subfields including Information Systems, Artificial Intelligence, Computer Networks and Communications, Software, and Information Systems and Management. These diverse areas reflect a broad engagement with both foundational and applied aspects of computing.

Their publications address various main topics:

  • Information and Cyber Security
  • Advanced Software Engineering Methodologies
  • Software Engineering Research
  • Software System Performance and Reliability
  • Network Security and Intrusion Detection
  • Software Engineering Techniques and Practices
  • Scientific Computing and Data Management

Recent papers authored or co-authored by Ralf Reussner include:

  • "Enabling consistency in view-based system development - The Vitruvius approach" (2020), published in Journal of Systems and Software
  • "A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems" (2020), published in IEEE Software
  • "Detecting violations of access control and information flow policies in data flow diagrams" (2021), published in Journal of Systems and Software
  • "28. September - 2. Oktober 2020" (2021), published in Gesellschaft für Informatik (GI)
  • "A conceptual model for unifying variability in space and time: Rationale, validation, and illustrative applications" (2022), published in Empirical Software Engineering

Frequent co-authors collaborating with Ralf Reussner include:

  • Robert Heinrich
  • Sebastian Hahner
  • Anne Koziolek
  • Maximilian Walter
  • Stephan Seifermann

Their research has appeared in multiple publication venues, with notable recurring contributions in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Repository KITopen (Karlsruhe Institute of Technology)
  • Journal of Systems and Software
  • IEEE Software
  • Gesellschaft für Informatik (GI)

Best Publications

  • The Palladio component model for model-driven performance prediction

    Steffen Becker;Heiko Koziolek;Ralf Reussner

  • Elasticity in Cloud Computing: What It Is, and What It Is Not.

    Nikolas Roman Herbst;Samuel Kounev;Ralf H. Reussner

  • Reliability prediction for component-based software architectures

    Ralf H. Reussner;Heinz W. Schmidt;Iman H. Poernomo

  • Model-Based performance prediction with the palladio component model

    Steffen Becker;Heiko Koziolek;Ralf Reussner

  • Automatically improve software architecture models for performance, reliability, and cost using evolutionary algorithms

    Anne Martens;Heiko Koziolek;Steffen Becker;Ralf Reussner

  • Toward trustworthy software systems

    W. Hasselbring;R. Reussner

  • The Common Component Modeling Example: Comparing Software Component Models

    Andreas Rausch;Ralf Reussner;Raffaela Mirandola;František Plášil

  • Modeling and Simulating Software Architectures: The Palladio Approach

    Ralf H. Reussner;Steffen Becker;Jens Happe;Robert Heinrich

  • PerOpteryx: automated application of tactics in multi-objective software architecture optimization

    Anne Koziolek;Heiko Koziolek;Ralf Reussner

  • Architecture-Based Reliability Prediction with the Palladio Component Model

    F. Brosch;H. Koziolek;B. Buhnova;R. Reussner

  • SKaMPI: A Detailed, Accurate MPI Benchmark

    Ralf Reussner;Peter Sanders;Lutz Prechelt;Matthias Müller

  • CoCoME - The Common Component Modeling Example

    Sebastian Herold;Holger Klus;Yannick Welsch;Constanze Deiters

  • SKaMPI: A Detailed, Accurate MPI Benchmark

    Peter Sanders;Ralf Reussner;Lutz Prechelt;Matthias Müller

  • A Model Transformation from the Palladio Component Model to Layered Queueing Networks

    Heiko Koziolek;Ralf Reussner

  • Generating adapters for concurrent component protocol synchronisation

    Heinz W. Schmidt;Ralf H. Reussner

  • Using Genetic Search for Reverse Engineering of Parametric Behavior Models for Performance Prediction

    Klaus Krogmann;Michael Kuperberg;Ralf Reussner

  • Handbuch der Software-Architektur

    Ralf H. Reussner;Wilhelm Hasselbring

  • Towards Self-Aware Performance and Resource Management in Modern Service-Oriented Systems

    Samuel Kounev;Fabian Brosig;Nikolaus Huber;Ralf Reussner

  • SKaMPI: a comprehensive benchmark for public benchmarking of MPI

    Ralf Reussner;Peter Sanders;Jesper Larsson Träff

  • Reasoning about Software Architectures with Contractually Specified Components

    Ralf H Reussner;Iman Hafiz Poernomo;Heinz W Schmidt

  • Reliability prediction for component-based software architectures

    Ralf H Reussner;Iman H Poernomo;Heinz W Schmidt

Frequent Co-Authors

Wilhelm Hasselbring
Wilhelm Hasselbring Kiel University
Samuel Kounev
Samuel Kounev University of Würzburg
Birgit Vogel-Heuser
Birgit Vogel-Heuser Technical University of Munich
Klaus Pohl
Klaus Pohl University of Duisburg-Essen
Colin Atkinson
Colin Atkinson University of Mannheim
Ivica Crnkovic
Ivica Crnkovic Chalmers University of Technology
Raffaela Mirandola
Raffaela Mirandola Polytechnic University of Milan
Bernhard Rumpe
Bernhard Rumpe RWTH Aachen University
Lutz Prechelt
Lutz Prechelt Freie Universität Berlin
Michael Felderer
Michael Felderer University of Cologne

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