World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
12530
World Ranking
5536
National Ranking
257

Gabriele Taentzer 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 Gabriele Taentzer 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: 265 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Gabriele Taentzer 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 Gabriele Taentzer 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - ACM Senior Member

Overview

Gabriele Taentzer is affiliated with Philipp University of Marburg in Germany. Their research is primarily situated within the domain of Computer Science, with a substantial focus on Software and Artificial Intelligence, alongside related areas such as Information Systems, Computer Networks and Communications, and Management Science and Operations Research.

The core topics addressed in their work include Model-Driven Software Engineering Techniques, Advanced Software Engineering Methodologies, Semantic Web and Ontologies, Service-Oriented Architecture and Web Services, Software Engineering Research, Data Quality and Management, and Software Testing and Debugging Techniques.

Their publication record reflects contributions to several academic venues, notably:

  • Technische Universität Berlin - Universitätsbibliothek
  • arXiv (Cornell University)
  • Software & Systems Modeling
  • Journal of Logical and Algebraic Methods in Programming
  • Zenodo (CERN European Organization for Nuclear Research)

Among their recent research papers are the following:

  • "EMF Model Refactoring based on Graph Transformation Concepts", 2024, Technische Universität Berlin - Universitätsbibliothek
  • "Lifting Parallel Graph Transformation Concepts to Model Transformation based on the Eclipse Modeling Framework", 2024, Technische Universität Berlin - Universitätsbibliothek
  • "Object Oriented and Rule-based Design of Visual Languages using Tiger", 2024, Technische Universität Berlin - Universitätsbibliothek
  • "Sufficient Criteria for Applicability and Non-Applicability of Rule Sequences", 2024, Technische Universität Berlin - Universitätsbibliothek
  • "Using Microsoft PowerApps, Mendix and OutSystems in Two Development Scenarios: An Experience Report", 2021, 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)

Gabriele Taentzer has collaborated frequently with multiple researchers. The most common co-authors include:

  • Jens Kosiol, with 22 joint publications
  • Daniel Strüber, with 8 joint publications
  • Steffen Zschaler, with 8 joint publications
  • Arno Kesper, with 8 joint publications
  • Viola Wenz, with 6 joint publications

In recognition of their professional standing, Gabriele Taentzer was awarded the title of ACM Senior Member in 2016.

Best Publications

  • Fundamentals of Algebraic Graph Transformation

    Hartmut Ehrig;Karsten Ehrig;Ulrike Prange;Gabriele Taentzer

  • AGG: A graph transformation environment for modeling and validation of software

    Gabriele Taentzer

  • GRAPH GRAMMARS WITH NEGATIVE APPLICATION CONDITIONS

    Annegret Habel;Reiko Heckel;Gabriele Taentzer

  • Henshin: advanced concepts and tools for in-place EMF model transformations

    Thorsten Arendt;Enrico Biermann;Stefan Jurack;Christian Krause

  • Confluence of Typed Attributed Graph Transformation Systems

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

  • AGG : A tool environment for algebraic graph transformation

    G. Taentzer

  • Graph transformation for specification and programming

    Marc Andries;Gregor Engels;Annegret Habel;Berthold Hoffmann

  • Fundamental Theory for Typed Attributed Graph Transformation

    Hartmut Ehrig;Ulrike Prange;Gabriele Taentzer

  • The AGG approach: language and environment

    C. Ermel;M. Rudolf;G. Taentzer

  • Model transformation by graph transformation: A comparative study

    Gabriele Taentzer;Karsten Ehrig;Esther Guerra;Juan de Lara

  • Analysing refactoring dependencies using graph transformation

    Tom Mens;Gabriele Taentzer;Olga Runge

  • Termination criteria for model transformation

    Hartmut Ehrig;Karsten Ehrig;Juan de Lara;Gabriele Taentzer

  • Application of graph transformation to visual languages

    R. Bardohl;M. Minas;G. Taentzer;A. Schürr

  • Information preserving bidirectional model transformations

    Hartmut Ehrig;Karsten Ehrig;Claudia Ermel;Frank Hermann

  • Graphical definition of in-place transformations in the eclipse modeling framework

    Enrico Biermann;Karsten Ehrig;Christian Köhler;Günter Kuhns

  • 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

  • Attributed graph transformation with node type inheritance

    Juan de Lara;Roswitha Bardohl;Hartmut Ehrig;Karsten Ehrig

  • Generation of visual editors as eclipse plug-ins

    Karsten Ehrig;Claudia Ermel;Stefan Hänsgen;Gabriele Taentzer

  • Generating instance models from meta models

    Karsten Ehrig;Jochen Malte Küster;Gabriele Taentzer

  • A rule-based approach to the semantic lifting of model differences in the context of model versioning

    Timo Kehrer;Udo Kelter;Gabriele Taentzer

  • Generating Instance Models from Meta Models

    Karsten Ehrig;Jochen M. Küster;Gabriele Taentzer;Jessica Winkelmann

Frequent Co-Authors

Hartmut Ehrig
Hartmut Ehrig Technical University of Berlin
Andy Schürr
Andy Schürr Technical University of Darmstadt
Reiko Heckel
Reiko Heckel University of Leicester
Juan de Lara
Juan de Lara Autonomous University of Madrid
Tom Mens
Tom Mens University of Mons
Manuel Wimmer
Manuel Wimmer Johannes Kepler University of Linz
Marsha Chechik
Marsha Chechik University of Toronto
Dániel Varró
Dániel Varró Linköping University
Hans-Jörg Kreowski
Hans-Jörg Kreowski University of Bremen
Gregor Engels
Gregor Engels University of Paderborn

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