Anton Dries
Impact in
- Artificial Intelligence top 10%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
- Logic, Reasoning, and Knowledge
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Logic, Reasoning, and Knowledge 5
- Semantic Web and Ontologies 3
- Bayesian Modeling and Causal Inference 3
- Machine Learning and Algorithms 3
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- Advanced Database Systems and Queries 7
- Co-authors
- Ulrich Rückert (2 shared papers)Luc De Raedt (10 shared papers)Siegfried Nijssen (8 shared papers)Tias Guns (4 shared papers)Ingo Thon (1 shared paper)Guy Van den Broeck (1 shared paper)Guido Tack (3 shared papers)Benjamin Négrevergne (1 shared paper)
- Journals
- Artificial Intelligence (2 papers)ETRI Journal (1 paper)Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)Machine Learning (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- BelgiumAustraliaNetherlands
In The Last Decade
Anton Dries
22 papers receiving 248 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 186
- Signal Processing 56
- Computer Networks and Communications 69
- Information Systems 61
- Computational Theory and Mathematics 38
Countries citing papers authored by Anton Dries
This map shows the geographic impact of Anton Dries'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 Anton Dries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Dries more than expected).
Fields of papers citing papers by Anton Dries
This network shows the impact of papers produced by Anton Dries. 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 Anton Dries. The network helps show where Anton Dries may publish in the future.
Co-authors
The 25 scholars most cited alongside Anton Dries, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 93 | |
| 2 | Inducing probabilistic relational rules from probabilistic examples | 2015 | 28 |
| 3 | 2009 | 22 | |
| 4 | 2013 | 17 | |
| 5 | 2015 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 2017 | 12 | |
| 8 | 2009 | 10 | |
| 9 | MiningZinc: a modeling language for constraint-based mining | 2013 | 9 |
| 10 | 2009 | 6 | |
| 11 | 2014 | 4 | |
| 12 | 2013 | 4 | |
| 13 | 2015 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2010 | 2 |
About Anton Dries
Anton Dries is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 22 papers that have together received 254 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Data Mining Algorithms and Applications (6 papers), Data Management and Algorithms (5 papers), Logic, Reasoning, and Knowledge (5 papers), Rough Sets and Fuzzy Logic (4 papers), Semantic Web and Ontologies (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (186 citations), Signal Processing (56 citations), Computer Networks and Communications (69 citations), Information Systems (61 citations) and Computational Theory and Mathematics (38 citations). Anton Dries has collaborated with scholars based in Belgium, Australia and Netherlands. Frequent co-authors include Ulrich Rückert, Luc De Raedt, Siegfried Nijssen, Tias Guns, Ingo Thon, Guy Van den Broeck, Guido Tack, Benjamin Négrevergne, Angelika Kimmig and Jesse Davis. Their work appears in journals such as Artificial Intelligence, ETRI Journal, Statistical Analysis and Data Mining The ASA Data Science Journal, Machine Learning and IEEE Transactions on Knowledge and Data Engineering.
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.