Citations per year, relative to Matthias Thimm Matthias Thimm (= 1×)
peers
Massimiliano Giacomin
Countries citing papers authored by Matthias Thimm
Since
Specialization
Citations
This map shows the geographic impact of Matthias Thimm'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 Matthias Thimm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Thimm more than expected).
This network shows the impact of papers produced by Matthias Thimm. 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 Matthias Thimm. The network helps show where Matthias Thimm may publish in the future.
Co-authorship network of co-authors of Matthias Thimm
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Thimm.
A scholar is included among the top collaborators of Matthias Thimm 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 Matthias Thimm. Matthias Thimm is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Beierle, Christoph, et al.. (2024). Formal and cognitive reasoning. International Journal of Approximate Reasoning. 174. 109270–109270.
Cerutti, Federico & Matthias Thimm. (2018). A general approach to reasoning with probabilities (Extended Abstract). ORCA Online Research @Cardiff (Cardiff University). 629–630.1 indexed citations
5.
Thimm, Matthias, et al.. (2018). Probabilistic Abstract Argumentation Based on SCC Decomposability. Open Repository and Bibliography (University of Luxembourg). 168–177.6 indexed citations
6.
Staab, Steffen, et al.. (2017). Koral: A Glass Box Profiling System for Individual Components of Distributed RDF Stores.. ePrints Soton (University of Southampton).3 indexed citations
7.
Hunter, Anthony & Matthias Thimm. (2016). On partial information and contradictions in probabilistic abstract argumentation. Principles of Knowledge Representation and Reasoning. 53–62.9 indexed citations
8.
Potyka, Nico, et al.. (2016). Group decision making via probabilistic belief merging. MADOC (University of Mannheim). 3623–3629.2 indexed citations
9.
Potyka, Nico & Matthias Thimm. (2015). Probabilistic reasoning with inconsistent beliefs using inconsistency measures. International Conference on Artificial Intelligence. 3156–3163.12 indexed citations
10.
Thimm, Matthias. (2014). Tweety: a comprehensive collection of java libraries for logical aspects of artificial intelligence and knowledge representation. Principles of Knowledge Representation and Reasoning. 528–537.22 indexed citations
11.
Thimm, Matthias, et al.. (2013). Opponent models with uncertainty for strategic argumentation. International Joint Conference on Artificial Intelligence. 332–338.34 indexed citations
García, Alejandro Javier, et al.. (2012). Selective revision with multiple informants and argumentative support. Redalyc (Universidad Autónoma del Estado de México). 15(50). 4–17.1 indexed citations
Kern-Isberner, Gabriele & Matthias Thimm. (2010). Novel semantical approaches to relational probabilistic conditionals. Principles of Knowledge Representation and Reasoning. 382–392.17 indexed citations
17.
Thimm, Matthias, et al.. (2010). A System for Relational Probabilistic Reasoning on Maximum Entropy. The Florida AI Research Society.1 indexed citations
18.
Kern-Isberner, Gabriele, et al.. (2009). Mining Default Rules from Statistical Data. The Florida AI Research Society.1 indexed citations
Thimm, Matthias & Gabriele Kern-Isberner. (2008). On the Relationship of Defeasible Argumentation and Answer Set Programming. 393–404.4 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.