World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8551
World Ranking
12399
National Ranking
608

Michael Sintek 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 Michael Sintek 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: 103 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Michael Sintek 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 Michael Sintek 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

Michael Sintek is affiliated with the German Research Centre for Artificial Intelligence in Germany. Their research spans multiple fields of study primarily focused on engineering, with contributions in business, management and accounting, as well as psychology. The subfields in which they have published include Industrial and Manufacturing Engineering, Biomedical Engineering, Management Information Systems, Social Psychology, and Control and Systems Engineering.

The scientist has contributed to the understanding of digital transformation within industrial contexts, with topics such as Flexible and Reconfigurable Manufacturing Systems, Manufacturing Process and Optimization, Ergonomics and Human Factors, Big Data and Business Intelligence, Human-Automation Interaction and Safety, and Robotics and Automated Systems among their main research themes.

Recent publications include:

  • Ontology-Based Digital Twin Framework for Smart Factories, 2023, Proceedings of the International Conference on Information Systems Development

Frequent co-authors in Michael Sintek's work are:

  • Snehal Walunj
  • Parsha Pahlevannejad
  • Christiane Plociennik
  • Martin Ruskowski
  • Juan Carlos Saborío

The scientist frequently publishes in the venue:

  • Proceedings of the International Conference on Information Systems Development

Best Publications

  • Creating Semantic Web contents with Protege-2000

    N.F. Noy;M. Sintek;S. Decker;M. Crubezy

  • EDUTELLA: a P2P networking infrastructure based on RDF

    Wolfgang Nejdl;Boris Wolf;Changtao Qu;Stefan Decker

  • Toward a technology for organizational memories

    A. Abecker;A. Bernardi;K. Hinkelmann;O. Kuhn

  • TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web

    Michael Sintek;Stefan Decker

  • Personalization in distributed e-learning environments

    Peter Dolog;Nicola Henze;Wolfgang Nejdl;Michael Sintek

  • A protégé plug-in for ontology extraction from text based on linguistic analysis

    Paul Buitelaar;Daniel Olejnik;Michael Sintek

  • HyperCuP: hypercubes, ontologies, and efficient search on peer-to-peer networks

    Mario Schlosser;Michael Sintek;Stefan Decker;Wolfgang Nejdl

  • A scalable and ontology-based P2P infrastructure for Semantic Web Services

    M. Schlosser;M. Sintek;S. Decker;W. Nejdl

  • Towards Linguistically Grounded Ontologies

    Paul Buitelaar;Philipp Cimiano;Peter Haase;Michael Sintek

  • LexInfo: A declarative model for the lexicon-ontology interface

    P. Cimiano;P. Buitelaar;J. McCrae;M. Sintek

  • Context-Aware, Proactive Delivery of Task-Specific Information: The KnowMore Project

    Andreas Abecker;Ansgar Bernardi;Knut Hinkelmann;Otto Kühn

  • DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO)

    Daniel Oberle;Anupriya Ankolekar;Pascal Hitzler;Philipp Cimiano

  • Information supply for business processes: coupling workflow with document analysis and information retrieval

    A. Abecker;A. Bernardi;H. Maus;M. Sintek

  • The Personal Reader: Personalizing and Enriching Learning Resources Using Semantic Web Technologies

    Peter Dolog;Nicola Henze;Wolfgang Nejdl;Michael Sintek

  • Design issues and challenges for RDF- and schema-based peer-to-peer systems

    Wolfgang Nejdl;Wolf Siberski;Michael Sintek

  • TRIPLE - An RDF Query, Inference, and Transformation Language.

    Michael Sintek;Stefan Decker

  • LingInfo: Design and Applications of a Model for the Integration of Linguistic Information in Ontologies

    Paul Buitelaar;Thierry Declerck;Anette Frank;Stefania Racioppa

  • Conceptualising Smart Spaces for Learning

    Bernd Simon;Peter Dolog;Zoltán Miklós;Daniel Olmedilla

  • Smart Space for Learning: A Mediation Infrastructure for Learning Services

    Bernd Simon;Wolfgang Nejdl;Michael Sintek;Joaquin Salvachua

  • Ontologies and efficient search on p2p networks

    Mario T. Schlosser;Michael Sintek;Stefan Decker;W. Hypercup-hypercubes Nejdl

  • Learning for text categorization and information extraction with ILP

    Markus Junker;Michael Sintek;Matthias Rinck

  • Towards the Adaptive Semantic Web

    Peter Dolog;Nicola Henze;Wolfgang Nejdl;Michael Sintek

  • RadSem: Semantic Annotation and Retrieval for Medical Images

    Manuel Möller;Sven Regel;Michael Sintek

  • DOLCE ergo SUMO: On Foundational and Domain Models in SWIntO (SmartWeb Integrated Ontology)

    Daniel Oberle;Anupriya Ankolekar;Pascal Hitzler;Philipp Cimiano

  • Towards a Well-Founded Technology For Organizational Memories

    Andreas Abecker;Ansgar Bernardi;Knut Hinkelmann;Otto Kfihn

  • The social semantic desktop: A new paradigm towards deploying the semantic Web on the desktop

    Ansgar Bernardi;Stefan Decker;Ludger van Elst;Gunnar Aastrand Grimnes

Frequent Co-Authors

Stefan Decker
Stefan Decker RWTH Aachen University
Wolfgang Nejdl
Wolfgang Nejdl University of Hannover
Paul Buitelaar
Paul Buitelaar University of Galway
Peter Dolog
Peter Dolog Aalborg University
Andreas Dengel
Andreas Dengel German Research Centre for Artificial Intelligence
Philipp Cimiano
Philipp Cimiano Bielefeld University
Pascal Hitzler
Pascal Hitzler Kansas State University
Uwe Zdun
Uwe Zdun University of Vienna
Siegfried Handschuh
Siegfried Handschuh University of St. Gallen

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