Countries citing papers authored by Gabriele Kern-Isberner
Since
Specialization
Citations
This map shows the geographic impact of Gabriele Kern-Isberner'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 Gabriele Kern-Isberner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Kern-Isberner more than expected).
Fields of papers citing papers by Gabriele Kern-Isberner
This network shows the impact of papers produced by Gabriele Kern-Isberner. 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 Gabriele Kern-Isberner. The network helps show where Gabriele Kern-Isberner may publish in the future.
Co-authorship network of co-authors of Gabriele Kern-Isberner
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Kern-Isberner.
A scholar is included among the top collaborators of Gabriele Kern-Isberner 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 Gabriele Kern-Isberner. Gabriele Kern-Isberner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kern-Isberner, Gabriele, et al.. (2021). Establish Coherence in Logic Programs Modelling Expert Knowledge via Argumentation.. International Conference on Lightning Protection.1 indexed citations
4.
Kern-Isberner, Gabriele, et al.. (2018). Decision Support Core System for Cancer Therapies Using ASP-HEX.. The Florida AI Research Society. 531–536.2 indexed citations
5.
Kern-Isberner, Gabriele, et al.. (2017). Towards An Understanding of What is Learned: Extracting Multi-Abstraction-Level Knowledge from Learning Agents.. The Florida AI Research Society. 764–767.4 indexed citations
6.
Beierle, Christoph, et al.. (2017). A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic.. 4.1 indexed citations
7.
Beierle, Christoph, et al.. (2016). Minimal Tolerance Pairs for System Z-Like Ranking Functions for First-Order Conditional Knowledge Bases.. The Florida AI Research Society. 626–631.1 indexed citations
8.
Isberner, Maj-Britt & Gabriele Kern-Isberner. (2016). A Formal Model of Plausibility Monitoring in Language Comprehension. The Florida AI Research Society. 662–667.3 indexed citations
9.
Beierle, Christoph, et al.. (2012). Stepwise Optimization of a Constraint Logic Program for the Computation of Ranking Functions.. GI-Jahrestagung. 205–224.1 indexed citations
10.
Beierle, Christoph & Gabriele Kern-Isberner. (2012). Conditional Objects Revisited: Variants and Model Translations.. The Florida AI Research Society.1 indexed citations
11.
Kern-Isberner, Gabriele & Guillermo Ricardo Simari. (2011). A Default Logical Semantics for Defeasible Argumentation. The Florida AI Research Society.
12.
Kern-Isberner, Gabriele & Matthias Thimm. (2010). Novel semantical approaches to relational probabilistic conditionals. Principles of Knowledge Representation and Reasoning. 382–392.17 indexed citations
13.
Thimm, Matthias, et al.. (2010). A System for Relational Probabilistic Reasoning on Maximum Entropy. The Florida AI Research Society.1 indexed citations
14.
Thimm, Matthias & Gabriele Kern-Isberner. (2008). On the Relationship of Defeasible Argumentation and Answer Set Programming. 393–404.4 indexed citations
15.
Kern-Isberner, Gabriele, et al.. (2008). Preference-Based Default Reasoning. The Florida AI Research Society. 672–677.2 indexed citations
16.
Kern-Isberner, Gabriele. (2008). Linking iterated belief change operations to nonmonotonic reasoning. Principles of Knowledge Representation and Reasoning. 166–176.17 indexed citations
17.
Kern-Isberner, Gabriele, et al.. (2007). Learning Uncertain Rules with CONDORCKD.. The Florida AI Research Society. 74–79.3 indexed citations
Kern-Isberner, Gabriele. (2002). A structural approach to default reasoning. Principles of Knowledge Representation and Reasoning. 147–157.4 indexed citations
20.
Kern-Isberner, Gabriele. (2000). Solving the inverse representation problem. European Conference on Artificial Intelligence. 581–585.9 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.