World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6604
World Ranking
8888
National Ranking
87

Floris Geerts 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 Floris Geerts 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: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Floris Geerts 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 Floris Geerts 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: 41 D-Index — 40th percentile

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

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

Overview

Floris Geerts is affiliated with the University of Antwerp in Belgium and specializes primarily in computer science. Their scholarly output focuses extensively on artificial intelligence and related subfields, covering multiple aspects of graph neural networks, computational theory, and database systems.

Their recent publications span various topics within advanced graph-based methodologies and AI explainability. Some notable papers include:

  • "Data Quality and Explainable AI" (2020), published in the Journal of Data and Information Quality
  • "Graph Neural Networks with Local Graph Parameters" (2021), available on arXiv (Cornell University)
  • "Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework" (2020), available on arXiv (Cornell University)
  • "On the Expressive Power of Linear Algebra on Graphs" (2020), published in Theory of Computing Systems
  • "Ordered Subgraph Aggregation Networks" (2022), available on arXiv (Cornell University)

Floris Geerts frequently collaborates with a group of coauthors with whom they have multiple publications. These include:

  • Christopher G. Morris (4 joint publications)
  • Pablo Barceló (3 joint publications)
  • Juan L. Reutter (3 joint publications)
  • Rihan Hai (2 joint publications)
  • Shih-Han Hung (2 joint publications)

The scientist's work is published in a range of venues, with a significant concentration in open-access and computing-focused outlets. Their most frequent publication venues include:

  • arXiv (Cornell University) with 15 publications
  • Proceedings of the ACM on Management of Data, 3 publications
  • Theory of Computing Systems, 2 publications
  • ACM SIGMOD Record, 2 publications
  • Journal of Data and Information Quality, 1 publication

The primary field of study is computer science, with a substantial emphasis on artificial intelligence. Other subfields represented in their work include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Computational Theory and Mathematics
  • Computer Networks and Communications

Within these subfields, their research topics focus on:

  • Advanced Graph Neural Networks
  • Graph Theory and Algorithms
  • Neural Networks and Applications
  • Advanced Database Systems and Queries
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Explainable Artificial Intelligence (XAI)

Best Publications

  • Conditional functional dependencies for capturing data inconsistencies

    Wenfei Fan;Floris Geerts;Xibei Jia;Anastasios Kementsietsidis

  • Conditional Functional Dependencies for Data Cleaning

    P. Bohannon;Wenfei Fan;F. Geerts;Xibei Jia

  • Improving data quality: consistency and accuracy

    Gao Cong;Wenfei Fan;Floris Geerts;Xibei Jia

  • Discovering Conditional Functional Dependencies

    Wenfei Fan;F Geerts;Jianzhong Li;Ming Xiong

  • Foundations of Data Quality Management

    Wenfei Fan;Floris Geerts

  • XPath satisfiability in the presence of DTDs

    Michael Benedikt;Wenfei Fan;Floris Geerts

  • Tiling Databases

    Unknown

  • The LLUNATIC data-cleaning framework

    Floris Geerts;Giansalvatore Mecca;Paolo Papotti;Donatello Santoro

  • Constraint Query Languages

    Unknown

  • MONDRIAN: Annotating and Querying Databases through Colors and Blocks

    F. Geerts;A. Kementsietsidis;D. Milano

  • XPath satisfiability in the presence of DTDs

    Michael Benedikt;Wenfei Fan;Floris Geerts

  • Discovering Conditional Functional Dependencies

    Wenfei Fan;Floris Geerts;Laks V. S. Lakshmanan;Ming Xiong

  • Determining the Currency of Data

    Wenfei Fan;Floris Geerts;Jef Wijsen

  • Relational link-based ranking

    Floris Geerts;Heikki Mannila;Evimaria Terzi

  • On database query languages for K-relations

    Floris Geerts;Antonella Poggi

  • Rewriting Regular XPath Queries on XML Views

    Wenfei Fan;F. Geerts;Xibei Jia;A. Kementsietsidis

  • Increasing the Expressivity of Conditional Functional Dependencies without Extra Complexity

    L. Bravo;Wenfei Fan;F. Geerts;Shuai Ma

  • HaploRec: efficient and accurate large-scale reconstruction of haplotypes

    Lauri Eronen;Floris Geerts;Hannu Toivonen;Hannu Toivonen

  • A tight upper bound on the number of candidate patterns

    F. Geerts;B. Goethals;J. Van den Bussche

  • Satisfiability of XPath queries with sibling axes

    Floris Geerts;Wenfei Fan

  • A Tight Upper Bound on the Number of Candidate Patterns

    Floris Geerts;Bart Goethals;Jan Van den Bussche

  • 26TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING ICDE 2010

    Wenfei Fan;Floris Geerts;Shuai Ma;Heiko Mueller

  • IncreasingtheExpressivity of Conditional Functional Dependencieswithout ExtraComplexity

    Loreto Bravo;Floris Geerts

Frequent Co-Authors

Wenfei Fan
Wenfei Fan University of Edinburgh
Jan Van den Bussche
Jan Van den Bussche Hasselt University
Anastasios Kementsietsidis
Anastasios Kementsietsidis Google (United States)
Frank Neven
Frank Neven Hasselt University
Shuai Ma
Shuai Ma Beihang University
Giansalvatore Mecca
Giansalvatore Mecca University of Basilicata
Bart Goethals
Bart Goethals University of Antwerp
Yang Cao
Yang Cao University of Edinburgh
Hannu Toivonen
Hannu Toivonen University of Helsinki

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