Ulf Krumnack
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology
- Developmental and Educational Psychology
- Computer Vision and Pattern Recognition
- Education
- Co-authors
- Kai‐Uwe KühnbergerHelmar GustAngela SchweringMartín SchmidtJulius SchöningMarkus GuheAlison PeaseAlan Smaill
- Topics
- AI-based Problem Solving and Planning (9 papers)Semantic Web and Ontologies (7 papers)Logic, Reasoning, and Knowledge (5 papers)
- Journals
- Cognitive ScienceCognitive Systems ResearchAnnals of Mathematics and Artificial Intelligence
- Partner nations
- GermanyUnited KingdomColombia
In The Last Decade
Ulf Krumnack
22 papers receiving 135 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 105
- Experimental and Cognitive Psychology 36
- Developmental and Educational Psychology 20
- Computer Vision and Pattern Recognition 14
- Education 13
Countries citing papers authored by Ulf Krumnack
This map shows the geographic impact of Ulf Krumnack'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 Ulf Krumnack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Krumnack more than expected).
Fields of papers citing papers by Ulf Krumnack
This network shows the impact of papers produced by Ulf Krumnack. 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 Ulf Krumnack. The network helps show where Ulf Krumnack may publish in the future.
Co-authorship network of co-authors of Ulf Krumnack
This figure shows the co-authorship network connecting the top 25 collaborators of Ulf Krumnack. A scholar is included among the top collaborators of Ulf Krumnack 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 Ulf Krumnack. Ulf Krumnack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | Rationality-Guided AGI as Cognitive Systems | 2 |
| 8 | Towards a Domain-Independent Computational Framework for Theory Blending | 4 |
| 9 | 19 | |
| 10 | Mathematical reasoning with higher-order anti-unifcation | 7 |
| 11 | 2 | |
| 12 | Solving Geometric Proportional Analogies with the Analogy Model HDTP | 6 |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 33 | |
| 16 | Analogical Reasoning: A Core of Cognition. | 25 |
| 17 | Analogy as Integrating Framework for Human-Level Reasoning | 3 |
| 18 | 2 | |
| 19 | Using Gestalt Principles to Compute Analogies of Geometric Figures | 8 |
| 20 | Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture. | 1 |
About Ulf Krumnack
Ulf Krumnack is a scholar working on Artificial Intelligence, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 23 papers that have together received 155 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (9 papers), Semantic Web and Ontologies (7 papers) and Logic, Reasoning, and Knowledge (5 papers). The work is most often cited by research in Artificial Intelligence (105 citations), Experimental and Cognitive Psychology (36 citations) and Theoretical Computer Science (2 citations). Ulf Krumnack has collaborated with scholars based in Germany, United Kingdom and Colombia. Frequent co-authors include Kai‐Uwe Kühnberger, Helmar Gust, Angela Schwering, Martín Schmidt, Julius Schöning, Markus Guhe, Alison Pease, Alan Smaill, Gunther Heidemann and Tarek R. Besold. Their work appears in journals such as Cognitive Science, Cognitive Systems Research and Annals of Mathematics and 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.