Dietrich Flockerzi
- Molecular Biology
- Control and Systems Engineering top 5%
- Epidemiology
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Carsten ConradiUdo ReichlKai SundmacherAlberto IsidoriH. W. KnoblochJörg RaischH. SannAndreas Seidel‐Morgenstern
- Topics
- Gene Regulatory Network Analysis (10 papers)Microbial Metabolic Engineering and Bioproduction (9 papers)Protein Structure and Dynamics (5 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Dietrich Flockerzi
51 papers receiving 904 citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 338
- Control and Systems Engineering 168
- Epidemiology 106
- Statistical and Nonlinear Physics 99
- Computer Networks and Communications 96
Countries citing papers authored by Dietrich Flockerzi
This map shows the geographic impact of Dietrich Flockerzi'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 Dietrich Flockerzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dietrich Flockerzi more than expected).
Fields of papers citing papers by Dietrich Flockerzi
This network shows the impact of papers produced by Dietrich Flockerzi. 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 Dietrich Flockerzi. The network helps show where Dietrich Flockerzi may publish in the future.
Co-authorship network of co-authors of Dietrich Flockerzi
This figure shows the co-authorship network connecting the top 25 collaborators of Dietrich Flockerzi. A scholar is included among the top collaborators of Dietrich Flockerzi 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 Dietrich Flockerzi. Dietrich Flockerzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 14 | |
| 3 | 14 | |
| 4 | 15 | |
| 5 | 77 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 24 | |
| 12 | 18 | |
| 13 | 17 | |
| 14 | 38 | |
| 15 | 27 | |
| 16 | Coexistence in the chemostat with secondary metabolites | 1 |
| 17 | 103 | |
| 18 | 14 | |
| 19 | 3 | |
| 20 | 4 |
About Dietrich Flockerzi
Dietrich Flockerzi is a scholar working on Filtration and Separation, Numerical Analysis and Statistical and Nonlinear Physics, having authored 52 papers that have together received 941 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Modeling and Simulation (90 citations), Numerical Analysis (60 citations) and Statistical and Nonlinear Physics (99 citations). Dietrich Flockerzi has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Carsten Conradi, Udo Reichl, Kai Sundmacher, Alberto Isidori, H. W. Knobloch, Jörg Raisch, H. Sann, Andreas Seidel‐Morgenstern, Ronny Straube and Jörg Stelling. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physical Chemistry C.
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.