World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8292
World Ranking
8744
National Ranking
529

Reiko Heckel 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 Reiko Heckel 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: 259 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Reiko Heckel 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 Reiko Heckel 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Reiko Heckel is affiliated with the University of Leicester in the United Kingdom and has a research focus primarily in Computer Science. Their work extensively covers areas such as Software, Artificial Intelligence, and Information Systems, with additional contributions in Computational Theory and Mathematics as well as Management Information Systems.

Their research topics include Model-Driven Software Engineering Techniques, Service-Oriented Architecture and Web Services, Advanced Software Engineering Methodologies, Software Testing and Debugging Techniques, Business Process Modeling and Analysis, Formal Methods in Verification, and Graph Theory and Algorithms.

Heckel's publication record features contributions predominantly in the following venues:

  • Technische Universität Berlin - Universitätsbibliothek
  • Electronic Proceedings in Theoretical Computer Science
  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • Software Quality Journal

Recent papers by Heckel include:

  • "Rule-Level Verification of Business Process Transformations using CSP" (2024), published by Technische Universität Berlin - Universitätsbibliothek
  • "Migrating Legacy Systems to Service-Oriented Architectures" (2024), published by Technische Universität Berlin - Universitätsbibliothek
  • "Test Case Generation Using Visual Contracts" (2024), published by Technische Universität Berlin - Universitätsbibliothek
  • "Verification of Architectural Refactorings: Rule Extraction and Tool Support" (2024), published by Technische Universität Berlin - Universitätsbibliothek
  • "Model-based Simulation of VoIP Network Reconfigurations using Graph Transformation Systems" (2024), published by Technische Universität Berlin - Universitätsbibliothek

Frequent co-authors of Heckel include Tamim Ahmed Khan, Rebecca Bernemann, Barbara König, Issam Al-Azzoni, and Adwoa Donyina, each collaborating on multiple projects.

Best Publications

  • Algebraic approaches to graph transformation. Part I: basic concepts and double pushout approach

    A. Corradini;U. Montanari;F. Rossi;H. Ehrig

  • GRAPH GRAMMARS WITH NEGATIVE APPLICATION CONDITIONS

    Annegret Habel;Reiko Heckel;Gabriele Taentzer

  • Algebraic approaches to graph transformation. Part II: single pushout approach and comparison with double pushout approach

    H. Ehrig;R. Heckel;M. Korff;M. Löwe

  • Confluence of Typed Attributed Graph Transformation Systems

    Reiko Heckel;Reiko Heckel;Jochen Malte Küster;Jochen Malte Küster;Gabriele Taentzer

  • Graph Transformation in a Nutshell

    Reiko Heckel

  • Tutorial Introduction to Graph Transformation: A Software Engineering Perspective

    Luciano Baresi;Reiko Heckel

  • Dynamic meta modeling: a graphical approach to the operational semantics of behavioral diagrams in UML

    Gregor Engels;Jan Hendrik Hausmann;Reiko Heckel;Stefan Sauer

  • A methodology for specifying and analyzing consistency of object-oriented behavioral models

    Gregor Engels;Jochem M. Küster;Reiko Heckel;Luuk Groenewegen

  • Ensuring Consistency of Conditional Graph Grammars - A Constructive Approach -

    Reiko Heckel;Annika Wagner

  • Modeling and validation of service-oriented architectures: application vs. style

    Luciano Baresi;Reiko Heckel;Sebastian Thöne;Dániel Varró

  • Towards Contract-based Testing of Web Services

    Reiko Heckel;Marc Lohmann

  • Rule-Based Specification of Behavioral Consistency Based on the UML Meta-model

    Gregor Engels;Reiko Heckel;Jochen Malte Küster

  • Detection of conflicting functional requirements in a use case-driven approach: a static analysis technique based on graph transformation

    Jan Hendrik Hausmann;Reiko Heckel;Gabi Taentzer

  • An inductive view of graph transformation

    F. Gadducci;R. Heckel

  • Automatic conformance testing of web services

    Reiko Heckel;Leonardo Mariani

  • Style-based modeling and refinement of service-oriented architectures

    Luciano Baresi;Reiko Heckel;Sebastian Thöne;Dániel Varró

  • Towards Model-Driven Testing

    Reiko Heckel;Marc Lohmann

  • Consistency-Preserving Model Evolution through Transformations

    Gregor Engels;Reiko Heckel;Jochen Malte Küster;Luuk Groenewegen

  • Model-based discovery of Web services

    J.H. Hausmann;R. Heckel;M. Lohmann

  • Style-based refinement of dynamic software architectures

    L. Baresi;R. Heckel;S. Thone;D. Varro

  • Detection of conflicting functional requirements in a use case-driven approach

    J.H. Hausmann;R. Heckel;G. Taentzer

Frequent Co-Authors

Hartmut Ehrig
Hartmut Ehrig Technical University of Berlin
Gregor Engels
Gregor Engels University of Paderborn
Andrea Corradini
Andrea Corradini University of Pisa
Gabriele Taentzer
Gabriele Taentzer Philipp University of Marburg
Luciano Baresi
Luciano Baresi Polytechnic University of Milan
Dániel Varró
Dániel Varró Linköping University
Ugo Montanari
Ugo Montanari University of Pisa
Jean Bézivin
Jean Bézivin University of Nantes
Tom Mens
Tom Mens University of Mons
Juan de Lara
Juan de Lara Autonomous University of Madrid

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