Mathias John
Impact in
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- Simulation Techniques and Applications
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- Formal Methods in Verification
Papers in
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- Gene Regulatory Network Analysis 11
- DNA and Biological Computing 6
- Microbial Metabolic Engineering and Bioproduction 3
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- Logic, programming, and type systems 7
- Multi-Agent Systems and Negotiation 2
- Co-authors
- Joachim Niehren (9 shared papers)Adelinde M. Uhrmacher (10 shared papers)Cristian Versari (4 shared papers)Roland Ewald (3 shared papers)François Coutte (3 shared papers)Philippe Jacques (3 shared papers)Heidrun Schumann (3 shared papers)Hans‐Jörg Schulz (2 shared papers)
In The Last Decade
Mathias John
23 papers receiving 393 citations
Peers
Comparison fields: 5 of 50
- Management Science and Operations Research 80
- Computational Theory and Mathematics 58
- Molecular Biology 191
- Pollution 35
- Pharmacology 44
Countries citing papers authored by Mathias John
This map shows the geographic impact of Mathias John'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 Mathias John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias John more than expected).
Fields of papers citing papers by Mathias John
This network shows the impact of papers produced by Mathias John. 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 Mathias John. The network helps show where Mathias John may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias John, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 73 | |
| 2 | 2008 | 39 | |
| 3 | 2010 | 35 | |
| 4 | 2007 | 34 | |
| 5 | 2011 | 30 | |
| 6 | 2008 | 28 | |
| 7 | 2008 | 25 | |
| 8 | 2010 | 21 | |
| 9 | 2012 | 20 | |
| 10 | 2007 | 16 | |
| 11 | 2009 | 16 | |
| 12 | 2013 | 11 | |
| 13 | 2016 | 8 | |
| 14 | 2008 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 2008 | 6 | |
| 17 | 2009 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2011 | 4 | |
| 20 | 2009 | 3 |
About Mathias John
Mathias John is a scholar working on Molecular Biology, Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 400 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (11 papers), Logic, programming, and type systems (7 papers), DNA and Biological Computing (6 papers), Simulation Techniques and Applications (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Formal Methods in Verification (3 papers), Data Visualization and Analytics (2 papers) and Multi-Agent Systems and Negotiation (2 papers). The work is most often cited by research in Management Science and Operations Research (80 citations), Computational Theory and Mathematics (58 citations), Molecular Biology (191 citations), Pollution (35 citations) and Pharmacology (44 citations). Mathias John has collaborated with scholars based in Germany, France and Italy. Frequent co-authors include Joachim Niehren, Adelinde M. Uhrmacher, Cristian Versari, Roland Ewald, François Coutte, Philippe Jacques, Heidrun Schumann, Hans‐Jörg Schulz, Christian Tominski and Arndt Rolfs. Their work appears in journals such as Biotechnology Journal, Biosystems, PLoS ONE, European Journal of Cell Biology and Formal Aspects of Computing.
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.