Ingo Thon

491 total citations
15 papers, 162 citations indexed

About

Ingo Thon is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ingo Thon has authored 15 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ingo Thon's work include Bayesian Modeling and Causal Inference (9 papers), Logic, Reasoning, and Knowledge (6 papers) and Semantic Web and Ontologies (3 papers). Ingo Thon is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Logic, Reasoning, and Knowledge (6 papers) and Semantic Web and Ontologies (3 papers). Ingo Thon collaborates with scholars based in Belgium, Germany and United States. Ingo Thon's co-authors include Luc De Raedt, Guy Van den Broeck, Bernd Gutmann, Niels Landwehr, Martijn van Otterlo, Daan Fierens, Anton Dries, Matthai Philipose, Gerda Janssens and Vı́tor Santos Costa and has published in prestigious journals such as Machine Learning, Neuroscience Research and Big Data.

In The Last Decade

Ingo Thon

13 papers receiving 149 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ingo Thon Belgium	7	141	20	20	17	16	15	162
Arun Tejasvi Chaganty United States	8	179 1.3×	11 0.6×	12 0.6×	8 0.5×	27 1.7×	16	217
Siyuan Cheng China	6	117 0.8×	10 0.5×	10 0.5×	17 1.0×	32 2.0×	15	144
Peter Geibel Germany	8	119 0.8×	16 0.8×	8 0.4×	18 1.1×	23 1.4×	20	146
Vishal Saraswat India	8	94 0.7×	23 1.1×	15 0.8×	9 0.5×	36 2.3×	17	127
Michel de Rougemont France	6	89 0.6×	42 2.1×	28 1.4×	65 3.8×	6 0.4×	28	134
Maosong Sun China	7	214 1.5×	24 1.2×	46 2.3×	6 0.4×	28 1.8×	16	237
Phillipp Schoppmann United States	5	171 1.2×	16 0.8×	5 0.3×	19 1.1×	11 0.7×	11	189
Wil Michiels Netherlands	6	55 0.4×	26 1.3×	26 1.3×	21 1.2×	27 1.7×	17	104
Lingyuan Meng China	5	136 1.0×	9 0.5×	11 0.6×	9 0.5×	45 2.8×	10	163
Cliff Brunk United States	5	154 1.1×	20 1.0×	46 2.3×	14 0.8×	56 3.5×	7	210

Countries citing papers authored by Ingo Thon

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ingo Thon

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Thon. A scholar is included among the top collaborators of Ingo Thon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ingo Thon. Ingo Thon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Thomas, Janek, et al.. (2022). Structured Verification of Machine Learning Models in Industrial Settings. Big Data. 11(3). 181–198. 7 indexed citations

Raedt, Luc De, et al.. (2015). Inducing probabilistic relational rules from probabilistic examples. Lirias (KU Leuven). 1835–1843. 28 indexed citations

Thon, Ingo, et al.. (2013). Extracting hierarchical data points and tables from scanned contracts.. 50–57. 2 indexed citations

Fierens, Daan, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, & Luc De Raedt. (2012). Inference in Probabilistic Logic Programs using Weighted CNF's. arXiv (Cornell University). 211–220. 34 indexed citations

Laet, Tinne De, et al.. (2012). A particle filter for probabilistic dynamic relational domains. Lirias. 1 indexed citations

Thon, Ingo, Bernd Gutmann, & Guy Van den Broeck. (2010). Probabilistic programming for planning problems. Lirias (KU Leuven). 98–99. 2 indexed citations

Thon, Ingo, Niels Landwehr, & Luc De Raedt. (2010). Stochastic relational processes: Efficient inference and applications. Machine Learning. 82(2). 239–272. 16 indexed citations

Broeck, Guy Van den, Ingo Thon, Martijn van Otterlo, & Luc De Raedt. (2010). DTProbLog: A Decision-Theoretic Probabilistic Prolog. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 1217–1222. 30 indexed citations

Thon, Ingo. (2009). Don’t fear optimality: Sampling for probabilistic-logic sequence models (extended abstract). Lirias (KU Leuven). 1–6. 1 indexed citations

10.

Thon, Ingo, Bernd Gutmann, Martijn van Otterlo, Niels Landwehr, & Luc De Raedt. (2009). From non-deterministic to probabilistic planning with the help of statistical relational learning. Neuroscience Research. 28(3). 23–30. 4 indexed citations

11.

Thon, Ingo, et al.. (2009). Probabilistic logical sequence learning for video. Lirias (KU Leuven). 5 indexed citations

12.

Raedt, Luc De, Bart Demoen, Daan Fierens, et al.. (2008). Towards digesting the alphabet-soup of statistical relational learning. Lirias (KU Leuven). 17 indexed citations

13.

Thon, Ingo, Niels Landwehr, & Luc De Raedt. (2008). CPT-L: An efficient model for relational stochastic processes. Lirias (KU Leuven). 27–28.

14.

Thon, Ingo & Kristian Kersting. (2007). Distributed relational state representations for complex stochastic processes. Lirias (KU Leuven). 129–140.

15.

Landwehr, Niels, Bernd Gutmann, Ingo Thon, Matthai Philipose, & Luc De Raedt. (2007). Relational transformation-based tagging for human activity recognition. Lirias (KU Leuven). 81–92. 15 indexed citations

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.

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