Andreas Seibel

509 total citations
17 papers, 128 citations indexed

About

Andreas Seibel is a scholar working on Artificial Intelligence, Software and Information Systems. According to data from OpenAlex, Andreas Seibel has authored 17 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Software and 8 papers in Information Systems. Recurrent topics in Andreas Seibel's work include Advanced Software Engineering Methodologies (12 papers), Model-Driven Software Engineering Techniques (11 papers) and Service-Oriented Architecture and Web Services (4 papers). Andreas Seibel is often cited by papers focused on Advanced Software Engineering Methodologies (12 papers), Model-Driven Software Engineering Techniques (11 papers) and Service-Oriented Architecture and Web Services (4 papers). Andreas Seibel collaborates with scholars based in Germany. Andreas Seibel's co-authors include Holger Giese, Thomas Vogel, Stefan Neumann, Hasso Plattner, Matthias Tichy, Regina Hebig, Sven Burmester, Hans Bock, N. Nagel and Joel Greenyer and has published in prestigious journals such as The Journal of Urology, Heliyon and Software & Systems Modeling.

In The Last Decade

Andreas Seibel

16 papers receiving 117 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andreas Seibel Germany 7 82 61 53 37 13 17 128
Hugo Pacheco Portugal 8 69 0.8× 69 1.1× 63 1.2× 36 1.0× 9 0.7× 20 128
Gert Florijn Netherlands 5 102 1.2× 101 1.7× 34 0.6× 22 0.6× 9 0.7× 7 119
John Robert United States 4 98 1.2× 96 1.6× 31 0.6× 52 1.4× 15 1.2× 5 152
Jamilah Din Malaysia 7 69 0.8× 25 0.4× 34 0.6× 21 0.6× 8 0.6× 34 114
Germán Vega France 5 59 0.7× 60 1.0× 25 0.5× 21 0.6× 5 0.4× 16 101
Lukas Renggli Switzerland 6 78 1.0× 62 1.0× 27 0.5× 52 1.4× 6 0.5× 16 113
Leonid Kof Germany 9 134 1.6× 105 1.7× 39 0.7× 20 0.5× 29 2.2× 13 181
Steven Völkel Germany 5 91 1.1× 110 1.8× 124 2.3× 22 0.6× 4 0.3× 6 153
Carina Alves Brazil 6 114 1.4× 102 1.7× 25 0.5× 13 0.4× 6 0.5× 16 160
Raúl Mazo France 6 122 1.5× 86 1.4× 31 0.6× 39 1.1× 5 0.4× 23 153

Countries citing papers authored by Andreas Seibel

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Seibel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Seibel

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

All Works

17 of 17 papers shown
1.
Hebig, Regina, Andreas Seibel, & Holger Giese. (2024). On the Unification of Megamodels. Technische Universität Berlin – Universitätsbibliothek. 42. 1 indexed citations
2.
Giese, Holger, Stephan Hildebrandt, & Andreas Seibel. (2024). Improved Flexibility and Scalability by Interpreting Story Diagrams. Technische Universität Berlin – Universitätsbibliothek. 1 indexed citations
3.
Giese, Holger, et al.. (2011). Why should I help you to teach requirements engineering?. 9–13. 11 indexed citations
4.
Hebig, Regina, Andreas Seibel, & Holger Giese. (2011). Toward a comparable characterization for software development activities in context of MDE. 33–42. 7 indexed citations
5.
Vogel, Thomas, Andreas Seibel, & Holger Giese. (2010). The role of models and megamodels at runtime. 224–238. 23 indexed citations
6.
7.
Vogel, Thomas, Andreas Seibel, & Holger Giese. (2010). Toward Megamodels At Runtime. Zenodo (CERN European Organization for Nuclear Research). 13–24. 4 indexed citations
8.
9.
Giese, Holger, et al.. (2010). Deriving behavior of multi-user processes from interactive requirements validation. 355–356. 3 indexed citations
10.
Giese, Holger, Stephan Hildebrandt, & Andreas Seibel. (2009). Feature Report: Modeling and Interpreting EMF-based Story Diagrams. The Journal of Urology. 151(5). 1263–5.
11.
Greenyer, Joel, M. Hirsch, Wilhelm Schäfer, et al.. (2009). Synthesis of timed behavior from scenarios in the Fujaba Real-Time Tool Suite. 4144. 615–618. 6 indexed citations
12.
Giese, Holger, Andreas Seibel, Thomas Vogel, & Hasso Plattner. (2009). A Model-Driven Configuration Management Systems for Advanced IT Service Management. 13 indexed citations
13.
14.
Seibel, Andreas, Stefan Neumann, & Holger Giese. (2009). Dynamic hierarchical mega models: comprehensive traceability and its efficient maintenance. Software & Systems Modeling. 9(4). 493–528. 20 indexed citations
15.
Tichy, Matthias, Holger Giese, & Andreas Seibel. (2006). Story Diagrams in Real-Time Software. Heliyon. 10(19). e38329–e38329. 3 indexed citations
16.
Burmester, Sven, Holger Giese, Andreas Seibel, & Matthias Tichy. (2005). Worst-Case Execution Time Optimization of Story Patterns for Hard Real-Time Systems. 6 indexed citations
17.

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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