Michael von der Beeck

763 total citations
11 papers, 137 citations indexed

About

Michael von der Beeck is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics. According to data from OpenAlex, Michael von der Beeck has authored 11 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Software and 5 papers in Computational Theory and Mathematics. Recurrent topics in Michael von der Beeck's work include Model-Driven Software Engineering Techniques (9 papers), Advanced Software Engineering Methodologies (9 papers) and Formal Methods in Verification (5 papers). Michael von der Beeck is often cited by papers focused on Model-Driven Software Engineering Techniques (9 papers), Advanced Software Engineering Methodologies (9 papers) and Formal Methods in Verification (5 papers). Michael von der Beeck collaborates with scholars based in Germany and United States. Michael von der Beeck's co-authors include Rance Cleaveland, Gerald Lüttgen, Peter Braun, Christian Schröder, Tiziana Margaria, Bernhard Steffen and Michael S. Feld and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Software & Systems Modeling and arXiv (Cornell University).

In The Last Decade

Michael von der Beeck

10 papers receiving 117 citations

Peers

Michael von der Beeck
Comparison fields: 5 of 24
  • Software 96
  • Artificial Intelligence 89
  • Computational Theory and Mathematics 60
  • Hardware and Architecture 29
  • Information Systems 27
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Citations per field, relative to Michael von der Beeck
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Citations per year, relative to Michael von der Beeck
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Countries citing papers authored by Michael von der Beeck

Since Specialization
Citations

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

Fields of papers citing papers by Michael von der Beeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael von der Beeck. 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 Michael von der Beeck. The network helps show where Michael von der Beeck may publish in the future.

Co-authorship network of co-authors of Michael von der Beeck

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2
Eignung der UML 2.0 zur Entwicklung von Bordnetzarchitekturen.
1
3 6
4
Automotive UML: a (meta) model-based approach for systems development
2
5 11
6 5
7 48
8 20
9 5
10 33
11 5

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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