Helmar Gust

690 total citations
25 papers, 222 citations indexed

About

Helmar Gust is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, Helmar Gust has authored 25 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 4 papers in Experimental and Cognitive Psychology and 3 papers in Molecular Biology. Recurrent topics in Helmar Gust's work include AI-based Problem Solving and Planning (10 papers), Semantic Web and Ontologies (9 papers) and Logic, Reasoning, and Knowledge (4 papers). Helmar Gust is often cited by papers focused on AI-based Problem Solving and Planning (10 papers), Semantic Web and Ontologies (9 papers) and Logic, Reasoning, and Knowledge (4 papers). Helmar Gust collaborates with scholars based in Germany, United Kingdom and India. Helmar Gust's co-authors include Kai‐Uwe Kühnberger, Ulf Krumnack, Angela Schwering, Carla Umbach, Ute Schmid, Martín Schmidt, Christoph Peylo, Stefan Hinterwimmer, Alan Smaill and Markus Guhe and has published in prestigious journals such as Cognitive Science, Theoretical Computer Science and Lingua.

In The Last Decade

Helmar Gust

24 papers receiving 185 citations

Peers

Helmar Gust
Comparison fields: 5 of 45
  • Artificial Intelligence 153
  • Experimental and Cognitive Psychology 49
  • Developmental and Educational Psychology 39
  • Language and Linguistics 27
  • Education 19
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Citations per field, relative to Helmar Gust
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Countries citing papers authored by Helmar Gust

Since Specialization
Citations

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

Fields of papers citing papers by Helmar Gust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helmar Gust

This figure shows the co-authorship network connecting the top 25 collaborators of Helmar Gust. A scholar is included among the top collaborators of Helmar Gust 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 Helmar Gust. Helmar Gust 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
# Work Indexed citations
1
Automatische Bewertung von Übungsaufgaben in VIPS.
1
2
Rationality-Guided AGI as Cognitive Systems
2
3
Towards a Domain-Independent Computational Framework for Theory Blending
4
4
Mathematical reasoning with higher-order anti-unifcation
7
5 2
6
Solving Geometric Proportional Analogies with the Analogy Model HDTP
6
7 3
8 2
9 33
10
Analogical Reasoning: A Core of Cognition.
25
11
Analogy as Integrating Framework for Human-Level Reasoning
3
12 2
13
Using Gestalt Principles to Compute Analogies of Geometric Figures
8
14 5
15
Learning Symbolic Inferences with Neural Networks
9
16 32
17
Ontological Aspects of Computing Analogies.
4
18
An Ontology as Domain Model in a Web-Based Educational System for Prolog
10
19
Der VC-Prolog-Tutor: Eine Internet-basierte Lernumgebung.
5
20 1

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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