Ingo Thon
Impact in
- Artificial Intelligence top 10%
- 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
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- Data Management and Algorithms
Papers in ⓘ
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- Bayesian Modeling and Causal Inference 9
- Logic, Reasoning, and Knowledge 6
- Semantic Web and Ontologies 3
- Natural Language Processing Techniques 3
- AI-based Problem Solving and Planning 3
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- Digital Rights Management and Security 1
- Co-authors
- Luc De Raedt (10 shared papers)Guy Van den Broeck (5 shared papers)Bernd Gutmann (5 shared papers)Niels Landwehr (6 shared papers)Martijn van Otterlo (3 shared papers)Daan Fierens (2 shared papers)Anton Dries (1 shared paper)Matthai Philipose (1 shared paper)
- Journals
- Big Data (1 paper)Neuroscience Research (1 paper)Machine Learning (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- BelgiumGermanyUnited States
In The Last Decade
Ingo Thon
13 papers receiving 149 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 141
- Signal Processing 20
- Management Science and Operations Research 15
- Computational Theory and Mathematics 17
- Computer Networks and Communications 20
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 19 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 34 | |
| 2 | 2010 | 30 | |
| 3 | Inducing probabilistic relational rules from probabilistic examples | 2015 | 28 |
| 4 | Towards digesting the alphabet-soup of statistical relational learning | 2008 | 17 |
| 5 | 2010 | 16 | |
| 6 | Relational transformation-based tagging for human activity recognition | 2007 | 15 |
| 7 | 2022 | 7 | |
| 8 | Probabilistic logical sequence learning for video | 2009 | 5 |
| 9 | 2009 | 4 | |
| 10 | Probabilistic programming for planning problems | 2010 | 2 |
| 11 | Extracting hierarchical data points and tables from scanned contracts. | 2013 | 2 |
| 12 | Don’t fear optimality: Sampling for probabilistic-logic sequence models (extended abstract) | 2009 | 1 |
| 13 | A particle filter for probabilistic dynamic relational domains | 2012 | 1 |
| 14 | Distributed relational state representations for complex stochastic processes | 2007 | 0 |
| 15 | CPT-L: An efficient model for relational stochastic processes | 2008 | 0 |
About Ingo Thon
Ingo Thon is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 15 papers that have together received 162 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Logic, Reasoning, and Knowledge (6 papers), Semantic Web and Ontologies (3 papers), Natural Language Processing Techniques (3 papers), AI-based Problem Solving and Planning (3 papers), Time Series Analysis and Forecasting (1 paper), Data Management and Algorithms (1 paper) and Digital Rights Management and Security (1 paper). The work is most often cited by research in Artificial Intelligence (141 citations), Signal Processing (20 citations), Management Science and Operations Research (15 citations), Computational Theory and Mathematics (17 citations) and Computer Networks and Communications (20 citations). Ingo Thon has collaborated with scholars based in Belgium, Germany and United States. Frequent co-authors include Luc De Raedt, Guy Van den Broeck, Bernd Gutmann, Niels Landwehr, Martijn van Otterlo, Daan Fierens, Anton Dries, Matthai Philipose, Angelika Kimmig and Vı́tor Santos Costa. Their work appears in journals such as Big Data, Neuroscience Research, Machine Learning, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.