Marius Doornenbal
RELX Group (Netherlands)(NL)
Publications by Year
Research Areas
Biomedical Text Mining and Ontologies, Topic Modeling, Natural Language Processing Techniques, Semantic Web and Ontologies, Evaluation and Performance Assessment
Most-Cited Works
- → Elsevier Journal Finder(2015)49 cited
- → Automatic identification of relevant chemical compounds from patents(2019)42 cited
- → AI tools as science policy advisers? The potential and the pitfalls(2023)28 cited
- → Evaluating approaches to identifying research supporting the United Nations Sustainable Development Goals(2024)21 cited
- → A Framework to Automatically Extract Funding Information from Text(2019)5 cited
- → Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models(2017)5 cited
- → Black Magic Meta Data-get a Glimpse behind the Scene(2014)3 cited
- → Learning Domain Labels Using Conceptual Fingerprints: An In-Use Case Study in the Neurology Domain(2016)3 cited
- → Selecting Documents Relevant for Chemistry as a Classification Problem(2017)1 cited