Ingo Thon
Impact in
- Artificial Intelligence top 5%
- Bayesian Modeling and Causal Inference
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- AI-based Problem Solving and Planning
- Machine Learning and Algorithms
- Topic Modeling
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Bayesian Modeling and Causal Inference 14
- Logic, Reasoning, and Knowledge 9
- Natural Language Processing Techniques 6
- Semantic Web and Ontologies 5
- Topic Modeling 3
- AI-based Problem Solving and Planning 2
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- Data Mining Algorithms and Applications 3
- Web Data Mining and Analysis 2
- Co-authors
- Luc De Raedt (15 shared papers)Bernd Gutmann (8 shared papers)Guy Van den Broeck (5 shared papers)Niels Landwehr (7 shared papers)Daan Fierens (2 shared papers)Gerda Janssens (2 shared papers)Dimitar Shterionov (1 shared paper)Martijn van Otterlo (3 shared papers)
- Journals
- Machine Learning (1 paper)Big Data (1 paper)Lecture notes in computer science (7 papers)Lirias (KU Leuven) (4 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- BelgiumGermanyUnited States
In The Last Decade
Ingo Thon
23 papers receiving 429 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 394
- Signal Processing 55
- Computational Theory and Mathematics 55
- Information Systems 61
- Computer Networks and Communications 54
Countries citing papers authored by Ingo Thon
This map shows the geographic impact of Ingo Thon'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 Ingo Thon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Thon more than expected).
Fields of papers citing papers by Ingo Thon
This network shows the impact of papers produced by Ingo Thon. 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 Ingo Thon. The network helps show where Ingo Thon may publish in the future.
Co-authors
The 25 scholars most cited alongside Ingo Thon, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inference and learning in probabilistic logic programs using weighted Boolean formulas | 2015 | 146 |
| 2 | 2011 | 43 | |
| 3 | 2010 | 42 | |
| 4 | Inducing probabilistic relational rules from probabilistic examples | 2015 | 40 |
| 5 | Towards digesting the alphabet-soup of statistical relational learning | 2008 | 30 |
| 6 | 2011 | 24 | |
| 7 | 2010 | 23 | |
| 8 | Relational transformation-based tagging for human activity recognition | 2007 | 15 |
| 9 | 2008 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 12 | |
| 12 | Relational transformation-based tagging for activity recognition | 2008 | 10 |
| 13 | An exercise with statistical relational learning systems | 2009 | 7 |
| 14 | 2022 | 7 | |
| 15 | Probabilistic logical sequence learning for video | 2009 | 6 |
| 16 | From non-deterministic to probabilistic planning with the help of statistical relational learning | 2009 | 5 |
| 17 | 2013 | 4 | |
| 18 | 2010 | 3 | |
| 19 | Extracting hierarchical data points and tables from scanned contracts. | 2013 | 3 |
| 20 | Probabilistic programming for planning problems | 2010 | 1 |
About Ingo Thon
Ingo Thon is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 25 papers that have together received 449 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (14 papers), Logic, Reasoning, and Knowledge (9 papers), Natural Language Processing Techniques (6 papers), Semantic Web and Ontologies (5 papers), Data Mining Algorithms and Applications (3 papers), Topic Modeling (3 papers), AI-based Problem Solving and Planning (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (394 citations), Signal Processing (55 citations), Computational Theory and Mathematics (55 citations), Information Systems (61 citations) and Computer Networks and Communications (54 citations). Ingo Thon has collaborated with scholars based in Belgium, Germany and United States. Frequent co-authors include Luc De Raedt, Bernd Gutmann, Guy Van den Broeck, Niels Landwehr, Daan Fierens, Gerda Janssens, Dimitar Shterionov, Martijn van Otterlo, Anton Dries and Matthai Philipose. Their work appears in journals such as Machine Learning, Big Data, Lecture notes in computer science, Lirias (KU Leuven) and arXiv (Cornell University).
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.