World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6604
World Ranking
8889
National Ranking
87

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
Giansalvatore Mecca
Giansalvatore Mecca University of Basilicata
Shuai Ma
Shuai Ma Beihang University
Bart Goethals
Bart Goethals University of Antwerp
Gao Cong
Gao Cong Nanyang Technological University
Hannu Toivonen
Hannu Toivonen University of Helsinki

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