World's Best Scientists 2026 revealed!
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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
55
Citations
36498
World Ranking
4173
National Ranking
53

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Paul Groth is affiliated with the University of Amsterdam in the Netherlands. Their research primarily spans the field of Computer Science, with a notable focus on Artificial Intelligence, Information Systems, Management Science and Operations Research, Information Systems and Management, and Molecular Biology.

Within these domains, Groth has contributed to multiple topics, including:

  • Data Quality and Management
  • Scientific Computing and Data Management
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Research Data Management Practices
  • Semantic Web and Ontologies
  • Natural Language Processing Techniques

Groth's recent publications demonstrate active engagement with several areas in data science and artificial intelligence. Selected papers include:

  • Packaging research artefacts with RO-Crate, 2022, Data Science
  • Defining a Knowledge Graph Development Process Through a Systematic Review, 2022, ACM Transactions on Software Engineering and Methodology
  • Reinforcement Learning-based Collective Entity Alignment with Adaptive Features, 2021, ACM Transactions on Information Systems
  • Ontologies in digital twins: A systematic literature review, 2023, Future Generation Computer Systems
  • Talking datasets - Understanding data sensemaking behaviours, 2020, Data Archiving and Networked Services (DANS)

Frequent collaborators include a range of researchers with whom Groth has co-authored multiple papers. These coauthors are Madelon Hulsebos, Stian Soiland-Reyes, Çağatay Demiralp, Erkan Karabulut, and Viktoriya Degeler.

Groth's research is also disseminated through several publication venues, with prolific contributions especially in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • PeerJ Computer Science
  • SSRN Electronic Journal
  • Journal of Biomedical Semantics

In addition to articles, Groth has authored books published by Springer Science+Business Media. Notable titles include:

  • Semantic Systems. In the Era of Knowledge Graphs, 2020
  • The Semantic Web: ESWC 2022 Satellite Events, 2022

Best Publications

  • The FAIR Guiding Principles for scientific data management and stewardship

    Mark D Wilkinson;Michel Dumontier;IJsbrand Jan Aalbersberg;Gabrielle Appleton

  • A semantic Web primer

    Grigoris Antoniou;Paul Groth;Frank van van Harmelen;Rinke Hoekstra

  • The ENCODE (ENCyclopedia of DNA elements) Project

    E. A. Feingold;P. J. Good;M. S. Guyer;S. Kamholz

  • Addendum: The FAIR Guiding Principles for scientific data management and stewardship

    Mark D. Wilkinson;Michel Dumontier;Ijsbrand Jan Aalbersberg;Gabrielle Appleton

  • The Open Provenance Model core specification (v1.1)

    Luc Moreau;Ben Clifford;Juliana Freire;Joe Futrelle

  • The anatomy of a nanopublication

    Paul Groth;Andrew Gibson;Jan Velterop

  • The Altmetrics Collection

    Jason Priem;Paul Groth;Dario Taraborelli

  • Open PHACTS: Semantic interoperability for drug discovery

    Antony J. Williams;Lee Harland;Paul Groth;Stephen Pettifer

  • PROV-DM: The PROV Data Model

    Khalid Belhajjame;Reza B'Far;James Cheney;Sam Coppens

  • The provenance of electronic data

    Luc Moreau;Paul Groth;Simon Miles;Javier Vazquez-Salceda

  • Assessing linked data mappings using network measures

    Christophe Guéret;Paul Groth;Claus Stadler;Jens Lehmann

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • Wings: Intelligent Workflow-Based Design of Computational Experiments

    Yolanda Gil;Varun Ratnakar;Jihie Kim;Joshua Moody

  • The requirements of using provenance in e-Science experiments

    Simon Miles;Paul T. Groth;Miguel Branco;Luc Moreau

  • Ten simple rules for the care and feeding of scientific data.

    Alyssa Goodman;Alberto Pepe;A.W. Alexander W. Blocker;C.L. Christine L. Borgman

  • Dataset search: a survey

    Adriane Chapman;Elena Simperl;Laura Koesten;George Konstantinidis

  • An Architecture for Provenance Systems

    Paul Groth;Sheng Jiang;Simon Miles;Steve Munroe

  • Provenance: An Introduction to PROV

    Luc Moreau;Paul Groth

  • A protocol for recording provenance in service-oriented grids

    Paul Groth;Michael Luck;Luc Moreau

  • The value of data

    Barend Mons;Herman van Haagen;Christine Chichester;Peter-Bram 't Hoen

  • PROV-Overview. An Overview of the PROV Family of Documents

    Paul Groth;Luc Moreau

Frequent Co-Authors

Luc Moreau
Luc Moreau King's College London
Simon Miles
Simon Miles King's College London
Yolanda Gil
Yolanda Gil University of Southern California
Carole Goble
Carole Goble University of Manchester
Ewa Deelman
Ewa Deelman University of Southern California
Jeffrey M. Bradshaw
Jeffrey M. Bradshaw Florida Institute for Human and Machine Cognition
Steve Pettifer
Steve Pettifer University of Manchester
Michael Luck
Michael Luck University of Sussex
Philippe Cudré-Mauroux
Philippe Cudré-Mauroux University of Fribourg
Barend Mons
Barend Mons Leiden University Medical Center

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