Matthias Rungger

740 total citations
34 papers, 425 citations indexed

About

Matthias Rungger is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Hardware and Architecture. According to data from OpenAlex, Matthias Rungger has authored 34 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 17 papers in Control and Systems Engineering and 10 papers in Hardware and Architecture. Recurrent topics in Matthias Rungger's work include Formal Methods in Verification (17 papers), Petri Nets in System Modeling (13 papers) and Advanced Control Systems Optimization (12 papers). Matthias Rungger is often cited by papers focused on Formal Methods in Verification (17 papers), Petri Nets in System Modeling (13 papers) and Advanced Control Systems Optimization (12 papers). Matthias Rungger collaborates with scholars based in Germany, United States and Netherlands. Matthias Rungger's co-authors include Majid Zamani, Paulo Tabuada, Olaf Stursberg, Gunther Reißig, Manuel Mazo, Rupak Majumdar, Jessy W. Grizzle, Aaron D. Ames, Marco Caccamo and Rohan Tabish and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Journal of Computational and Applied Mathematics.

In The Last Decade

Matthias Rungger

33 papers receiving 399 citations

Peers

Matthias Rungger
Comparison fields: 5 of 47
  • Computational Theory and Mathematics 274
  • Control and Systems Engineering 204
  • Artificial Intelligence 91
  • Hardware and Architecture 87
  • Software 60
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Citations per field, relative to Matthias Rungger
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Citations per year, relative to Matthias Rungger
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Countries citing papers authored by Matthias Rungger

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Rungger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Rungger

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Rungger. A scholar is included among the top collaborators of Matthias Rungger 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 Matthias Rungger. Matthias Rungger 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 8
2 2
3 1
4 19
5 5
6 10
7 14
8 2
9 10
10 4
11 2
12 9
13 12
14 1
15 14
16 6
17 39
18 7
19 12
20
Establishing Multiscale Anticipatory Behavior by Hierarchical Reinforcement Learning
0

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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