World's Best Scientists 2026 revealed!
Mathieu d'Aquin

Mathieu d'Aquin

D-Index & Metrics

Computer Science

D-Index
36
Citations
5108
World Ranking
11306
National Ranking
281

Mathieu d'Aquin 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 Mathieu d'Aquin 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: 246 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Mathieu d'Aquin 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 Mathieu d'Aquin 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Mathieu d'Aquin is affiliated with the National University of Ireland, Galway, located in Ireland. Their research predominantly focuses on computer science, with significant work in artificial intelligence, molecular biology, health information management, signal processing, and computer vision and pattern recognition.

The scientist's recent publications cover various topics in these fields. Notable papers include:

  • "Semi-supervised regression using diffusion on graphs," 2021, published in Applied Soft Computing
  • "FAIREST: A Framework for Assessing Research Repositories," 2022, published in Data Intelligence
  • "Synergy Between Embedding and Protein Functional Association Networks for Drug Label Prediction Using Harmonic Function," 2020, published in IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • "Metastatic Site Prediction in Breast Cancer using Omics Knowledge Graph and Pattern Mining with Kirchhoff's Law Traversal," 2020, published in bioRxiv (Cold Spring Harbor Laboratory)
  • "Extracting data models from background knowledge graphs," 2021, published in Knowledge-Based Systems

Their research interests are reflected in the main topics addressed across their work, which include:

  • Semantic Web and Ontologies
  • Biomedical Text Mining and Ontologies
  • Advanced Graph Neural Networks
  • Data Quality and Management
  • Data Management and Algorithms
  • Domain Adaptation and Few-Shot Learning
  • Bioinformatics and Genomic Networks

Mathieu d'Aquin frequently collaborates with several researchers, including:

  • Akke Vellinga
  • Mohan Timilsina
  • Haixuan Yang
  • Daniela Oliveira
  • Nicolas Hubert

Their work has been published in several venues, with multiple publications in arXiv (Cornell University) and Zenodo (CERN European Organization for Nuclear Research), alongside contributions to Applied Soft Computing, Data Intelligence, and the Irish Journal of Medical Science.

Best Publications

  • Review: Where to publish and find ontologies? A survey of ontology libraries

    Mathieu d'Aquin;Natalya F. Noy

  • Toward a New Generation of Semantic Web Applications

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

  • Ontology evolution: a process-centric survey

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

  • Exploring the Semantic Web as Background Knowledge for Ontology Matching

    Marta Sabou;Mathieu D'Aquin;Enrico Motta

  • Identifying Key Concepts in an Ontology, through the Integration of Cognitive Principles with Statistical and Topological Measures

    Silvio Peroni;Enrico Motta;Mathieu D'Aquin

  • Watson, more than a Semantic Web search engine

    Mathieu d'Aquin;Enrico Motta

  • 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

  • Unsupervised learning of link discovery configuration

    Andriy Nikolov;Mathieu d'Aquin;Enrico Motta

  • 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

  • Modularization: a key for the dynamic selection of relevant knowledge components

    Mathieu D'Aquin;Marta Sabou;Enrico Motta

  • The NeOn Ontology Engineering Toolkit

    Peter Haase;Holger Lewen;Rudi Studer;Duc Thanh Tran

  • A novel approach to visualizing and navigating ontologies

    Enrico Motta;Paul Mulholland;Silvio Peroni;Mathieu d'Aquin

  • Watson: supporting next generation semantic web applications

    Mathieu d'Aquin;Claudio Baldassarre;Laurian Gridinoc;Marta Sabou

  • Solving semantic ambiguity to improve semantic web based ontology matching

    Jorge Gracia;Vanessa López;Mathieu D'Aquin;Marta Sabou

  • ADAPTATION KNOWLEDGE ACQUISITION: A CASE STUDY FOR CASE‐BASED DECISION SUPPORT IN ONCOLOGY

    Mathieu D'Aquin;Jean Lieber;Amedeo Napoli

  • Case base mining for adaptation knowledge acquisition

    M. d'Aquin;F. Badra;S. Lafrogne;J. Lieber

  • Towards an "Ethics by Design" Methodology for AI Research Projects

    Mathieu d'Aquin;Pinelopi Troullinou;Noel E. O'Connor;Aindrias Cullen

  • WATSON: a gateway for the semantic web

    Mathieu d'Aquin;Marta Sabou;Martin Dzbor;Claudio Baldassarre

  • KC-Viz: A novel approach to visualizing and navigating ontologies

    Enrico Motta;Silvio Peroni;Ning Li;Mathieu d'Aquin

Frequent Co-Authors

Enrico Motta
Enrico Motta The Open University
Marta Sabou
Marta Sabou Vienna University of Economics and Business
Hendrik Drachsler
Hendrik Drachsler German Institute for International Educational Research
Aldo Gangemi
Aldo Gangemi University of Bologna
Jérôme Euzenat
Jérôme Euzenat Grenoble Alpes University
Peter Haase
Peter Haase Metaphacts
Dragan Gasevic
Dragan Gasevic Monash University
Grigoris Antoniou
Grigoris Antoniou University of Huddersfield
Jeff Z. Pan
Jeff Z. Pan University of Edinburgh

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