Sofie Verbaeten
Impact in
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- Logic, Reasoning, and Knowledge
- Logic, programming, and type systems
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Semantic Web and Ontologies
- Multi-Agent Systems and Negotiation
- Machine Learning and Algorithms
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- Formal Methods in Verification
Papers in
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- Logic, Reasoning, and Knowledge 6
- Semantic Web and Ontologies 3
- Logic, programming, and type systems 2
- Natural Language Processing Techniques 2
- Text Readability and Simplification 1
- Bayesian Modeling and Causal Inference 1
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- Formal Methods in Verification 2
- Co-authors
- Danny De Schreye (3 shared papers)Konstantinos Sagonas (1 shared paper)Joost Vennekens (2 shared papers)Marc Denecker (1 shared paper)Maurice Bruynooghe (2 shared papers)Jan Ramon (2 shared papers)Jan Struyf (3 shared papers)Hendrik Blockeel (3 shared papers)
In The Last Decade
Sofie Verbaeten
7 papers receiving 49 citations
Peers
Comparison fields: 5 of 15
- Artificial Intelligence 47
- Computational Theory and Mathematics 16
- Software 3
- Statistics and Probability 3
- Information Systems 7
Countries citing papers authored by Sofie Verbaeten
This map shows the geographic impact of Sofie Verbaeten's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sofie Verbaeten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofie Verbaeten more than expected).
Fields of papers citing papers by Sofie Verbaeten
This network shows the impact of papers produced by Sofie Verbaeten. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sofie Verbaeten. The network helps show where Sofie Verbaeten may publish in the future.
Co-authors
The 11 scholars most cited alongside Sofie Verbaeten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identifying mislabeled training examples in ILP Classification Problems | 2002 | 17 |
| 2 | 2001 | 16 | |
| 3 | 2000 | 5 | |
| 4 | A general view on probabilistic logic programming | 2003 | 4 |
| 5 | 2004 | 3 | |
| 6 | 2001 | 3 | |
| 7 | First order models for the predictive toxicology challenge | 2001 | 2 |
| 8 | Attribute-value and first order data mining within the STULONG project | 2003 | 0 |
| 9 | Composing complete and partial knowledge | 2000 | 0 |
| 10 | Logic programs with annotated disjunctions | 2004 | 0 |
About Sofie Verbaeten
Sofie Verbaeten is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 50 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (6 papers), Semantic Web and Ontologies (3 papers), Logic, programming, and type systems (2 papers), Natural Language Processing Techniques (2 papers), Formal Methods in Verification (2 papers), Data Mining Algorithms and Applications (2 papers), Text Readability and Simplification (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Artificial Intelligence (47 citations), Computational Theory and Mathematics (16 citations), Software (3 citations), Statistics and Probability (3 citations) and Information Systems (7 citations). Sofie Verbaeten has collaborated with scholars based in Belgium and Sweden. Frequent co-authors include Danny De Schreye, Konstantinos Sagonas, Joost Vennekens, Marc Denecker, Maurice Bruynooghe, Jan Ramon, Jan Struyf, Hendrik Blockeel, Wim Van Laer and Kurt Driessens. Their work appears in journals such as ACM Transactions on Computational Logic, Machine Learning, The Journal of Logic Programming, Applicable Algebra in Engineering Communication and Computing and Lirias (KU Leuven).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.