World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4110
World Ranking
12758
National Ranking
115

Rick Rabiser 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 Rick Rabiser 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: 168 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Rick Rabiser 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 Rick Rabiser 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Rick Rabiser is affiliated with Johannes Kepler University of Linz in Austria. Their research spans several interconnected fields within computer science and engineering, focusing on software engineering methodologies and their applications to industrial and manufacturing engineering contexts.

The main fields of study in Rabiser's work include:

  • Computer Science
  • Engineering

Within these broad domains, their research interests encompass various subfields such as:

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Computer Networks and Communications

They have addressed key topics, including:

  • Advanced Software Engineering Methodologies
  • Flexible and Reconfigurable Manufacturing Systems
  • Digital Transformation in Industry
  • Service-Oriented Architecture and Web Services
  • Software System Performance and Reliability
  • Software Engineering Techniques and Practices
  • Business Process Modeling and Analysis

Rick Rabiser's prominent publication venues reflect the interdisciplinary nature of their research, with frequent contributions to:

  • Journal of Systems and Software
  • 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)

Their recent papers demonstrate continued engagement with variability management and cyber-physical production systems. Selected publications include:

  • "Towards Mastering Variability in Software-Intensive Cyber-Physical Production Systems" (2021, Procedia Computer Science)
  • "Industry Voices on Software Engineering Challenges in Cyber-Physical Production Systems Engineering" (2022, 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA))
  • "Evolution in dynamic software product lines" (2020, Journal of Software Evolution and Process)
  • "UVL: Feature modelling with the Universal Variability Language" (2025, Journal of Systems and Software)
  • "Uvl: Feature Modelling with the Universal Variability Language" (2024, SSRN Electronic Journal)

Their frequent collaborators include:

  • Kevin Feichtinger
  • Alois Zoitl
  • Kristof Meixner
  • Sandra Greiner
  • Antonio Manuel Gutiérrez Fernández

Best Publications

  • Cool features and tough decisions: a comparison of variability modeling approaches

    Krzysztof Czarnecki;Paul Grünbacher;Rick Rabiser;Klaus Schmid

  • The DOPLER meta-tool for decision-oriented variability modeling: a multiple case study

    Deepak Dhungana;Paul Grünbacher;Rick Rabiser

  • Software diversity: state of the art and perspectives

    Ina Schaefer;Rick Rabiser;Dave Clarke;Lorenzo Bettini

  • A comparison of decision modeling approaches in product lines

    Klaus Schmid;Rick Rabiser;Paul Grünbacher

  • A systematic review and an expert survey on capabilities supporting multi product lines

    Gerald Holl;Paul Grünbacher;Rick Rabiser

  • Requirements for product derivation support: Results from a systematic literature review and an expert survey

    Rick Rabiser;Paul Grünbacher;Deepak Dhungana

  • Structuring the modeling space and supporting evolution in software product line engineering

    Deepak Dhungana;Paul Grünbacher;Rick Rabiser;Thomas Neumayer

  • Supporting Product Derivation by Adapting and Augmenting Variability Models

    R. Rabiser;P. Grunbacher;D. Dhungana

  • Agile product line planning: A collaborative approach and a case study

    Muhammad A. Noor;Rick Rabiser;Paul Grünbacher

  • CASE Tool Support for Variability Management in Software Product Lines

    Rabih Bashroush;Muhammad Garba;Rick Rabiser;Iris Groher

  • Flexible and scalable consistency checking on product line variability models

    Michael Vierhauser;Paul Grünbacher;Alexander Egyed;Rick Rabiser

  • A qualitative study on user guidance capabilities in product configuration tools

    Rick Rabiser;Paul Grunbacher;Martin Lehofer

  • ReMinds : A flexible runtime monitoring framework for systems of systems

    Michael Vierhauser;Rick Rabiser;Paul Grünbacher;Klaus Seyerlehner

  • A comparison framework for runtime monitoring approaches

    Rick Rabiser;Sam Guinea;Michael Vierhauser;Luciano Baresi

  • DecisionKing: A Flexible and Extensible Tool for Integrated Variability Modeling.

    Deepak Dhungana;Paul Grünbacher;Rick Rabiser

  • Configuration of Multi Product Lines by Bridging Heterogeneous Variability Modeling Approaches

    Deepak Dhungana;Dominik Seichter;Goetz Botterweck;Rick Rabiser

  • Industry Voices on Software Engineering Challenges in Cyber-Physical Production Systems Engineering

    Unknown

  • Supporting distributed product configuration by integrating heterogeneous variability modeling approaches

    José A. Galindo;Deepak Dhungana;Rick Rabiser;David Benavides

  • Yet another textual variability language?: a community effort towards a unified language

    Chico Sundermann;Kevin Feichtinger;Dominik Engelhardt;Rick Rabiser

  • Requirements monitoring frameworks

    Michael Vierhauser;Rick Rabiser;Paul Grünbacher

  • Supporting Evolution in Model-Based Product Line Engineering

    D. Dhungana;T. Neumayer;P. Grunbacher;R. Rabiser

Frequent Co-Authors

Paul Grünbacher
Paul Grünbacher Johannes Kepler University of Linz
David Benavides
David Benavides University of Seville
Alexander Egyed
Alexander Egyed Johannes Kepler University of Linz
Luciano Baresi
Luciano Baresi Polytechnic University of Milan
Jane Cleland-Huang
Jane Cleland-Huang University of Notre Dame
Danny Weyns
Danny Weyns KU Leuven
Markus Schedl
Markus Schedl Johannes Kepler University of Linz
Ita Richardson
Ita Richardson University of Limerick
Birgit Vogel-Heuser
Birgit Vogel-Heuser Technical University of Munich

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