Martin Ginkel
- Molecular Biology
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment top 10%
- Control and Systems Engineering top 10%
- Materials Chemistry
- Co-authors
- Ernst Dieter GillesSteffen KlamtJörg StellingE. D. GillesSu ZhouThorsten SchultzKeith ScottKai Sundmacher
- Topics
- Gene Regulatory Network Analysis (7 papers)Microbial Metabolic Engineering and Bioproduction (7 papers)Bioinformatics and Genomic Networks (5 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Martin Ginkel
20 papers receiving 583 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 376
- Electrical and Electronic Engineering 155
- Renewable Energy, Sustainability and the Environment 133
- Control and Systems Engineering 80
- Materials Chemistry 75
Countries citing papers authored by Martin Ginkel
This map shows the geographic impact of Martin Ginkel'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 Martin Ginkel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Ginkel more than expected).
Fields of papers citing papers by Martin Ginkel
This network shows the impact of papers produced by Martin Ginkel. 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 Martin Ginkel. The network helps show where Martin Ginkel may publish in the future.
Co-authorship network of co-authors of Martin Ginkel
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Ginkel. A scholar is included among the top collaborators of Martin Ginkel 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 Martin Ginkel. Martin Ginkel 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 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 29 | |
| 6 | 25 | |
| 7 | SBML Level 3 Package Specification: Hierarchical Model Composition | 3 |
| 8 | 57 | |
| 9 | 31 | |
| 10 | 15 | |
| 11 | 10 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | Application of the Process Modeling Tool ProMoT to large-scale chemical engineering processes | 2 |
| 15 | 70 | |
| 16 | 153 | |
| 17 | 17 | |
| 18 | 151 | |
| 19 | 38 | |
| 20 | Application of the process modeling tool PROMOT to the modeling of metabolic networks | 6 |
About Martin Ginkel
Martin Ginkel is a scholar working on Software, Computational Theory and Mathematics and Management Information Systems, having authored 21 papers that have together received 626 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (7 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (133 citations), Molecular Biology (376 citations) and Electrochemistry (22 citations). Martin Ginkel has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Ernst Dieter Gilles, Steffen Klamt, Jörg Stelling, E. D. Gilles, Su Zhou, Thorsten Schultz, Keith Scott, E. D. Gilles, Kai Sundmacher and Andreas Kremling. Their work appears in journals such as Bioinformatics, Biophysical Journal and Industrial & Engineering Chemistry Research.
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.