Sabine Kuske
- Software top 2%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Co-authors
- Hans‐Jörg KreowskiAndy SchürrGabriele TaentzerAnnegret HabelDetlef PlumpGregor EngelsBerthold HoffmannMartin Gogolla
- Topics
- Model-Driven Software Engineering Techniques (15 papers)Advanced Software Engineering Methodologies (8 papers)Semantic Web and Ontologies (7 papers)
- Partner nations
- Germany
In The Last Decade
Sabine Kuske
17 papers receiving 189 citations
Peers
Comparison fields: 5 of 28
- Software 157
- Artificial Intelligence 147
- Information Systems 84
- Computational Theory and Mathematics 47
- Computer Networks and Communications 35
Countries citing papers authored by Sabine Kuske
This map shows the geographic impact of Sabine Kuske'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 Sabine Kuske with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Kuske more than expected).
Fields of papers citing papers by Sabine Kuske
This network shows the impact of papers produced by Sabine Kuske. 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 Sabine Kuske. The network helps show where Sabine Kuske may publish in the future.
Co-authorship network of co-authors of Sabine Kuske
This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Kuske. A scholar is included among the top collaborators of Sabine Kuske 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 Sabine Kuske. Sabine Kuske 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | Graph-transformational swarms. | 2 |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | Some Essentials of Graph Transformation | 13 |
| 12 | 12 | |
| 13 | 17 | |
| 14 | Approach-Independent Structuring Concepts for Rule-Based Systems | 1 |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 90 | |
| 18 | Graph Transformation Modules and their Composition | 0 |
| 19 | 27 | |
| 20 | 23 |
About Sabine Kuske
Sabine Kuske is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 23 papers that have together received 227 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (15 papers), Advanced Software Engineering Methodologies (8 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Software (157 citations), Artificial Intelligence (147 citations) and Information Systems (84 citations). Sabine Kuske has collaborated with scholars based in Germany. Frequent co-authors include Hans‐Jörg Kreowski, Andy Schürr, Gabriele Taentzer, Annegret Habel, Detlef Plump, Gregor Engels, Berthold Hoffmann, Martin Gogolla, Claudia Ermel and Frank Drewes. Their work appears in journals such as Theoretical Computer Science, Information and Computation and Entropy.
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.