Nico Potyka

408 total citations
27 papers, 92 citations indexed

About

Nico Potyka is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Nico Potyka has authored 27 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Management Information Systems. Recurrent topics in Nico Potyka's work include Logic, Reasoning, and Knowledge (16 papers), Bayesian Modeling and Causal Inference (15 papers) and Multi-Agent Systems and Negotiation (10 papers). Nico Potyka is often cited by papers focused on Logic, Reasoning, and Knowledge (16 papers), Bayesian Modeling and Causal Inference (15 papers) and Multi-Agent Systems and Negotiation (10 papers). Nico Potyka collaborates with scholars based in Germany, United Kingdom and Sweden. Nico Potyka's co-authors include Matthias Thimm, Anthony Hunter, Christoph Beierle, Gabriele Kern-Isberner, Heiner Stuckenschmidt, Xiang Yin, Francesca Toni, Julian Varghese, Yunjie He and Kristijonas Čyras and has published in prestigious journals such as Artificial Intelligence, Lecture notes in computer science and International Journal of Approximate Reasoning.

In The Last Decade

Nico Potyka

23 papers receiving 88 citations

Peers

Nico Potyka

CTM

MIS

CNC

Florence Dupin de Saint-Cyr France

Kshitij Fadnis United States

E. Golobardes Spain

Jorge Fandinno United States

Sebastiaan de Hoogh Netherlands

Laurent Perrussel France

Chantal Keller France

Matan Eyal Israel

Ivana Balažević United Kingdom

Krasimir Angelov Sweden

Florence Dupin de Saint-Cyr France

Nico Potyka

122 ×1.4

7 ×0.9

8 ×1.0

CTM

16 ×2.7

MIS

2 ×0.5

CNC

Citations per year, relative to Nico Potyka Nico Potyka (= 1×) peers Florence Dupin de Saint-Cyr

Countries citing papers authored by Nico Potyka

Since Specialization

Citations

This map shows the geographic impact of Nico Potyka'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 Nico Potyka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nico Potyka more than expected).

Fields of papers citing papers by Nico Potyka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nico Potyka. 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 Nico Potyka. The network helps show where Nico Potyka may publish in the future.

Co-authorship network of co-authors of Nico Potyka

This figure shows the co-authorship network connecting the top 25 collaborators of Nico Potyka. A scholar is included among the top collaborators of Nico Potyka 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 Nico Potyka. Nico Potyka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Potyka, Nico, et al.. (2025). ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(2). 1791–1799.

Kampik, Timotheus, Nico Potyka, Xiang Yin, Kristijonas Čyras, & Francesca Toni. (2024). Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis. International Journal of Approximate Reasoning. 173. 109255–109255.

Potyka, Nico, Xiang Yin, & Francesca Toni. (2023). Explaining Random Forests Using Bipolar Argumentation and Markov Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9453–9460. 3 indexed citations

Potyka, Nico. (2021). From Probabilistic Programming to Probabilistic Argumentation.. International Conference on Lightning Protection. 1 indexed citations

Potyka, Nico. (2021). Interpreting Neural Networks as Quantitative Argumentation Frameworks. Proceedings of the AAAI Conference on Artificial Intelligence. 35(7). 6463–6470. 9 indexed citations

Potyka, Nico. (2019). Extending Modular Semantics for Bipolar Weighted Argumentation. ORCA Online Research @Cardiff (Cardiff University). 1722–1730. 4 indexed citations

Potyka, Nico. (2019). A Polynomial-time Fragment of Epistemic Probabilistic Argumentation. International Journal of Approximate Reasoning. 115. 2165–2167. 4 indexed citations

Hunter, Anthony, et al.. (2019). Delegated updates in epistemic graphs for opponent modelling. International Journal of Approximate Reasoning. 113. 207–244. 1 indexed citations

Hunter, Anthony, et al.. (2018). Updating belief in arguments in epistemic graphs. ORCA Online Research @Cardiff (Cardiff University). 138–147. 4 indexed citations

10.

Potyka, Nico. (2018). Continuous Dynamical Systems for Weighted Bipolar Argumentation.. Principles of Knowledge Representation and Reasoning. 148–157. 7 indexed citations

11.

Beierle, Christoph, et al.. (2017). A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic.. 4. 1 indexed citations

12.

Potyka, Nico & Matthias Thimm. (2017). Inconsistency-tolerant reasoning over linear probabilistic knowledge bases. International Journal of Approximate Reasoning. 88. 209–236. 3 indexed citations

13.

Potyka, Nico, et al.. (2016). Group decision making via probabilistic belief merging. MADOC (University of Mannheim). 3623–3629. 2 indexed citations

14.

Potyka, Nico, et al.. (2016). An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore. 1 indexed citations

15.

Potyka, Nico & Matthias Thimm. (2015). Probabilistic reasoning with inconsistent beliefs using inconsistency measures. International Conference on Artificial Intelligence. 3156–3163. 12 indexed citations

16.

Potyka, Nico, Christoph Beierle, & Gabriele Kern-Isberner. (2015). A concept for the evolution of relational probabilistic belief states and the computation of their changes under optimum entropy semantics. Journal of Applied Logic. 13(4). 414–440. 5 indexed citations

17.

Potyka, Nico. (2014). Linear programs for measuring inconsistency in probabilistic logics. Principles of Knowledge Representation and Reasoning. 568–577. 23 indexed citations

18.

Potyka, Nico. (2013). Some Notes on the Factorization of Probabilistic Logical Models under Maximum Entropy Semantics.. The Florida AI Research Society. 1 indexed citations

19.

Varghese, Julian, Christoph Beierle, Nico Potyka, & Gabriele Kern-Isberner. (2013). Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data. 401–404. 1 indexed citations

20.

Potyka, Nico. (2012). Towards a General Framework for Maximum Entropy Reasoning.. The Florida AI Research Society. 2 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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