World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
8271
World Ranking
5953
National Ranking
42

Marta Sabou 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 Marta Sabou 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: 184 publications — 40th percentile

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

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

Marta Sabou 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 Marta Sabou 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Marta Sabou is affiliated with the Vienna University of Economics and Business in Austria. Their research primarily focuses on fields related to Computer Science and Decision Sciences, with particular emphasis on Artificial Intelligence, Management Science and Operations Research, and Information Systems. The scientist's work spans both foundational and applied aspects of data and knowledge management.

Their research topics include:

  • Semantic Web and Ontologies
  • Data Quality and Management
  • Advanced Graph Neural Networks
  • Topic Modeling
  • Business Process Modeling and Analysis
  • Scientific Computing and Data Management
  • Biomedical Text Mining and Ontologies

Marta Sabou has contributed to various peer-reviewed publications, frequently collaborating with co-authors such as Fajar J. Ekaputra, Laura Waltersdorfer, Anna Breit, Heiko Paulheim, and Artem Revenko.

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Semantic Web
  • Journal of Web Semantics
  • Neurosymbolic Artificial Intelligence
  • ACM Computing Surveys

Notable recent papers authored or co-authored by Marta Sabou include:

  • "Knowledge graph validation by integrating LLMs and human-in-the-loop," 2025, Information Processing & Management
  • "Combining Machine Learning and Semantic Web: A Systematic Mapping Study," 2023, ACM Computing Surveys
  • "Deriving semantic validation rules from industrial standards: An OPC UA study," 2023, Semantic Web
  • "A decade of Semantic Web research through the lenses of a mixed methods approach," 2020, Semantic Web
  • "User consent modeling for ensuring transparency and compliance in smart cities," 2020, Personal and Ubiquitous Computing

The diversity of co-authors and publication venues reflects an interdisciplinary approach to research that intersects machine learning, knowledge representation, and data compliance issues. The focus on semantic technologies and validation methods indicates ongoing engagement with the development and assessment of knowledge graphs and semantic standards.

Best Publications

  • Bringing semantics to web services: the OWL-S approach

    David Martin;Massimo Paolucci;Sheila McIlraith;Mark Burstein

  • Results of the ontology alignment evaluation initiative 2009

    Jérôme Euzenat;Alfio Ferrara;Laura Hollink;Antoine Isaac

  • Ontology-Based Information Visualization: Toward Semantic Web Applications

    Christiaan Fluit;Marta Sabou;Frank van Harmelen

  • Is question answering fit for the semantic web?: a survey

    Vanessa Lopez;Victoria Uren;Marta Sabou;Enrico Motta

  • Toward a New Generation of Semantic Web Applications

    M. d'Aquin;E. Motta;M. Sabou;S. Angeletou

  • Learning domain ontologies for Web service descriptions: an experiment in bioinformatics

    Marta Sabou;Chris Wroe;Carole Goble;Gilad Mishne

  • Ontology evolution: a process-centric survey

    Fouad Zablith;Grigoris Antoniou;Mathieu d'Aquin;Giorgos Flouris

  • Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines

    Marta Sabou;Kalina Bontcheva;Leon Derczynski;Arno Scharl

  • Exploring the Semantic Web as Background Knowledge for Ontology Matching

    Marta Sabou;Mathieu D'Aquin;Enrico Motta

  • Bridging the gap between folksonomies and the semantic web: an experience report

    Sofia Angeletou;Marta Sabou;Lucia Specia;Enrico Motta

  • Foundations for service ontologies: aligning OWL-S to dolce

    Peter Mika;Daniel Oberle;Aldo Gangemi;Marta Sabou

  • PowerMap: mapping the real semantic web on the fly

    Vanessa Lopez;Marta Sabou;Enrico Motta

  • Learning domain ontologies for semantic Web service descriptions

    Marta Sabou;Chris Wroe;Carole Goble;Heiner Stuckenschmidt

  • UML for the Semantic Web: Transformation-Based Approaches.

    Kateryna Falkovych;Marta Sabou;Heiner Stuckenschmidt

  • Using the semantic web as background knowledge for ontology mapping

    Marta Sabou;Mathieu D'Aquin;Enrico Motta

  • Characterizing knowledge on the semantic web with Watson

    Mathieu d'Aquin;Claudio Baldassarre;Laurian Gridinoc;Sofia Angeletou

  • Criteria and Evaluation for Ontology Modularization Techniques

    Mathieu D'Aquin;Anne Schlicht;Heiner Stuckenschmidt;Marta Sabou

  • Ontology modularization for knowledge selection: experiments and evaluations

    Mathieu d'Aquin;Anne Schlicht;Heiner Stuckenschmidt;Marta Sabou

  • Crowdsourcing research opportunities: lessons from natural language processing

    Marta Sabou;Kalina Bontcheva;Arno Scharl

  • Ontology Selection: Ontology Evaluation on the Real Semantic Web

    Marta Sabou;Vanessa López;Enrico Motta;Victoria S. Uren

Frequent Co-Authors

Enrico Motta
Enrico Motta The Open University
Mathieu d'Aquin
Mathieu d'Aquin University of Lorraine
Heiner Stuckenschmidt
Heiner Stuckenschmidt University of Mannheim
Frank van Harmelen
Frank van Harmelen Vrije Universiteit Amsterdam
Frances M. T. Brazier
Frances M. T. Brazier Delft University of Technology
Jérôme Euzenat
Jérôme Euzenat Grenoble Alpes University
Aldo Gangemi
Aldo Gangemi University of Bologna
Fausto Giunchiglia
Fausto Giunchiglia University of Trento
Kalina Bontcheva
Kalina Bontcheva University of Sheffield

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