World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
13771
World Ranking
3623
National Ranking
162

Gunter Saake 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 Gunter Saake 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: 532 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Gunter Saake 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 Gunter Saake 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Gunter Saake is affiliated with Otto-von-Guericke University Magdeburg in Germany. Their research primarily spans the field of Computer Science, with a focus on several subfields including Information Systems, Artificial Intelligence, Computer Networks and Communications, Molecular Biology, and Signal Processing.

The main topics of Saake's work include:

  • Data Mining Algorithms and Applications
  • Software Engineering Research
  • Advanced Database Systems and Queries
  • Cloud Computing and Resource Management
  • Bioinformatics and Genomic Networks
  • Advanced Data Storage Technologies
  • Data Management and Algorithms

Saake has contributed to multiple recent papers reflecting a range of interdisciplinary research interests. Notable publications include:

  • Fecal Metaproteomics Reveals Reduced Gut Inflammation and Changed Microbial Metabolism Following Lifestyle-Induced Weight Loss (2021), Biomolecules
  • SQLValidator - An Online Student Playground to Learn SQL (2021), Datenbank-Spektrum
  • Modern Applications and Challenges for Rare Itemset Mining (2021), International Journal of Machine Learning and Computing
  • Data Quality as a Critical Success Factor for User Acceptance of Research Information Systems (2020), Data
  • The importance of graph databases and graph learning for clinical applications (2023), Database

The scientist often collaborates with colleagues in their research. Frequent co-authors include:

  • David Broneske
  • Thomas Leich
  • Robert Heyer
  • Jacob Krüger
  • Sadeq Darrab

Common venues for Saake's publications indicate engagement with both computer science and interdisciplinary journals and conferences, including:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Datenbank-Spektrum
  • Scientific Reports
  • ACM Transactions on Software Engineering and Methodology
  • Distributed and Parallel Databases

Best Publications

  • Feature-Oriented Software Product Lines

    Sven Apel;Don Batory;Christian Kästner;Gunter Saake

  • FeatureIDE: An extensible framework for feature-oriented software development

    Thomas Thüm;Christian Kästner;Fabian Benduhn;Jens Meinicke

  • A Classification and Survey of Analysis Strategies for Software Product Lines

    Thomas Thüm;Sven Apel;Christian Kästner;Ina Schaefer

  • Feature-Oriented Software Product Lines: Concepts and Implementation

    Sven Apel;Don Batory;Christian Kstner;Gunter Saake

  • FeatureIDE: A tool framework for feature-oriented software development

    Christian Kastner;Thomas Thum;Gunter Saake;Janet Feigenspan

  • Datenbanken : Konzepte und Sprachen

    Gunter Saake;Kai-Uwe Sattler;Andreas Heuer

  • FeatureC++: on the symbiosis of feature-oriented and aspect-oriented programming

    Sven Apel;Thomas Leich;Marko Rosenmüller;Gunter Saake

  • Understanding understanding source code with functional magnetic resonance imaging

    Janet Siegmund;Christian Kästner;Sven Apel;Chris Parnin

  • Predicting performance via automated feature-interaction detection

    Norbert Siegmund;Sergiy S. Kolesnikov;Christian Kastner;Sven Apel

  • SPL Conqueror: Toward optimization of non-functional properties in software product lines

    Norbert Siegmund;Marko Rosenmüller;Martin Kuhlemann;Christian Kästner

  • Mastering Software Variability with FeatureIDE

    Jens Meinicke;Thomas Thüm;Reimar Schröter;Fabian Benduhn

  • Logics for databases and information systems

    Jan Chomicki;Gunter Saake

  • Aspectual Feature Modules

    S. Apel;T. Leich;G. Saake

  • Type checking annotation-based product lines

    Christian Kästner;Sven Apel;Thomas Thüm;Gunter Saake

  • Conceptual modelling of database applications using an extended ER model

    Gregor Engels;Martin Gogolla;Uwe Hohenstein;Klaus Hülsmann

  • TROLL: a language for object-oriented specification of information systems

    Ralf Jungclaus;Gunter Saake;Thorsten Hartmann;Cristina Sernadas

  • Aspectual mixin layers: aspects and features in concert

    Sven Apel;Thomas Leich;Gunter Saake

  • Monitoring dynamic integrity constraints based on temporal logic

    U. W. Lipeck;G. Saake

  • Do background colors improve program comprehension in the #ifdef hell?

    Janet Feigenspan;Christian Kästner;Sven Apel;Jörg Liebig

  • Report on the Dagstuhl Seminar

    Michael Gertz;M. Tamer Özsu;Gunter Saake;Kai-Uwe Sattler

Frequent Co-Authors

Sven Apel
Sven Apel Saarland University
Thomas Thüm
Thomas Thüm University of Ulm
Christian Kästner
Christian Kästner Carnegie Mellon University
Norbert Siegmund
Norbert Siegmund Leipzig University
Don Batory
Don Batory The University of Texas at Austin
Erhard Rahm
Erhard Rahm Leipzig University
Ahmed Ghoneim
Ahmed Ghoneim Cairo University
Jana Dittmann
Jana Dittmann Otto-von-Guericke University Magdeburg
Ina Schaefer
Ina Schaefer Technische Universität Braunschweig
Udo Reichl
Udo Reichl Otto-von-Guericke University Magdeburg

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