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Computer Science

D-Index
34
Citations
22747
World Ranking
11861
National Ranking
221

Overview

Erik M. van Mulligen is affiliated with Erasmus University Rotterdam in the Netherlands. Their research spans multiple intersecting fields with a strong emphasis on computational and biomedical domains.

The scientist's main fields of study include Computer Science and Biochemistry, Genetics and Molecular Biology. Their work delves into several subfields, notably Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Health Informatics, and Immunology.

The core topics explored in their research involve Biomedical Text Mining and Ontologies, Machine Learning in Healthcare, Topic Modeling, Natural Language Processing Techniques, Computational Drug Discovery Methods, Bioinformatics and Genomic Networks, and Artificial Intelligence in Healthcare and Education.

Erik M. van Mulligen has published extensively, with recent papers including:

  • Use of unstructured text in prognostic clinical prediction models: a systematic review, 2022, Journal of the American Medical Informatics Association
  • The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives, 2021, Pharmaceuticals
  • eTRANSAFE: data science to empower translational safety assessment, 2023, Nature Reviews Drug Discovery
  • Improving shared decision-making about cancer treatment through design-based data-driven decision-support tools and redesigning care paths: an overview of the 4D PICTURE project, 2024, Palliative Care and Social Practice
  • Parasitic infections related to anti-type 2 immunity monoclonal antibodies: a disproportionality analysis in the food and drug administration's adverse event reporting system (FAERS), 2023, Frontiers in Pharmacology

Frequent publication venues for their work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of the American Medical Informatics Association
  • Journal of Biomedical Semantics
  • arXiv (Cornell University)
  • Pharmacoepidemiology and Drug Safety

Erik collaborates often with a group of co-authors who have contributed to a significant number of publications, including Jan A. Kors, Peter R. Rijnbeek, Tom M Seinen, Katia Verhamme, and Egill A. Friðgeirsson.

Best Publications

  • The FAIR Guiding Principles for scientific data management and stewardship

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

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

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

  • A dictionary to identify small molecules and drugs in free text

    Kristina M. Hettne;Rob H. Stierum;Martijn J. Schuemie;Peter J. M. Hendriksen

  • The EU-ADR corpus

    Erik M. van Mulligen;Annie Fourrier-Reglat;David Gurwitz;Mariam Molokhia

  • Calling on a million minds for community annotation in WikiProteins.

    Barend Mons;Michael Ashburner;Michael Ashburner;Christine Chichester;Christine Chichester;Erik van Mulligen

  • Distribution of information in biomedical abstracts and full-text publications

    M. J. Schuemie;M. Weeber;B. J. A. Schijvenaars;E. M. Van Mulligen

  • The value of data

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

  • Using rule-based natural language processing to improve disease normalization in biomedical text.

    Ning Kang;Bharat Singh;Zubair Afzal;Erik M van Mulligen

  • CALBC silver standard corpus.

    Dietrich Rebholz-Schuhmann;Antonio José Jimeno Yepes;Erik M Van Mulligen;Ning Kang

  • Co-occurrence based meta-analysis of scientific texts: retrieving biological relationships between genes

    R. Jelier;G. Jenster;L. C. J. Dorssers;C. C. Van Der Eijk

  • A novel feature-based approach to extract drug–drug interactions from biomedical text

    Quoc-Chinh Bui;Peter M.A. Sloot;Erik M. van Mulligen;Jan A. Kors

  • Knowledge-based extraction of adverse drug events from biomedical text

    Ning Kang;Bharat Singh;Chinh Bui;Zubair Afzal

  • Constructing an associative concept space for literature-based discovery

    C. Christiaan van der Eijk;Erik M. van Mulligen;Jan A. Kors;Barend Mons

  • Interoperability and FAIRness through a novel combination of Web technologies

    Mark D. Wilkinson;Ruben Verborgh;Luiz Olavo Bonino da Silva Santos;Tim Clark

  • Microattribution and nanopublication as means to incentivize the placement of human genome variation data into the public domain

    George P. Patrinos;David Neil Cooper;Erik van Mulligen;Vassiliki Gkantouna

  • Exploring large document repositories with RDF technology: the DOPE project

    Unknown

  • Assessment of NER solutions against the first and second CALBC Silver Standard Corpus.

    Dietrich Rebholz-Schuhmann;Antonio Jimeno Yepes;Chen Li;Şenay Kafkas

  • Evaluating Social Media Networks in Medicines Safety Surveillance: Two Case Studies

    Preciosa M. Coloma;Benedikt Becker;Miriam C. J. M. Sturkenboom;Erik M. van Mulligen

  • Thesaurus-based disambiguation of gene symbols

    Bob J. A. Schijvenaars;Barend Mons;Marc Weeber;Martijn J. Schuemie

  • Comparing and combining chunkers of biomedical text

    Ning Kang;Erik M. van Mulligen;Jan A. Kors

  • A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC

    Jan A Kors;Simon Clematide;Saber A Akhondi;Erik M van Mulligen

Frequent Co-Authors

Barend Mons
Barend Mons Leiden University Medical Center
Martijn J. Schuemie
Martijn J. Schuemie Janssen (Belgium)
Dietrich Rebholz-Schuhmann
Dietrich Rebholz-Schuhmann University of Cologne
Udo Hahn
Udo Hahn Friedrich Schiller University Jena
Peter A. C. 't Hoen
Peter A. C. 't Hoen Radboud University
Marjan van den Akker
Marjan van den Akker Goethe University Frankfurt
Jos C. S. Kleinjans
Jos C. S. Kleinjans Maastricht University
Antony J. Williams
Antony J. Williams Environmental Protection Agency
Michel Dumontier
Michel Dumontier Maastricht University
Morris A. Swertz
Morris A. Swertz University Medical Center Groningen

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