Dirk Koschützki
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Plant Science
- Biomedical Engineering
- Co-authors
- Falk SchreiberBjörn H. JunkerEva Grafahrend‐BelauGabriel del RioKai XuHenning SchwöbbermeyerUwe ScholzStéphan Weise
- Topics
- Bioinformatics and Genomic Networks (12 papers)Gene Regulatory Network Analysis (9 papers)Microbial Metabolic Engineering and Bioproduction (8 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Dirk Koschützki
18 papers receiving 773 citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 572
- Statistical and Nonlinear Physics 142
- Computational Theory and Mathematics 138
- Plant Science 78
- Biomedical Engineering 75
Countries citing papers authored by Dirk Koschützki
This map shows the geographic impact of Dirk Koschützki'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 Dirk Koschützki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Koschützki more than expected).
Fields of papers citing papers by Dirk Koschützki
This network shows the impact of papers produced by Dirk Koschützki. 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 Dirk Koschützki. The network helps show where Dirk Koschützki may publish in the future.
Co-authorship network of co-authors of Dirk Koschützki
This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Koschützki. A scholar is included among the top collaborators of Dirk Koschützki 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 Dirk Koschützki. Dirk Koschützki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 10 | |
| 3 | 69 | |
| 4 | 14 | |
| 5 | 242 | |
| 6 | 129 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 30 | |
| 10 | 35 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 145 | |
| 14 | Visual analysis of network centralities | 24 |
| 15 | 8 | |
| 16 | GEOMI: GEOmetry for Maximum Insight | 2 |
| 17 | 7 | |
| 18 | Comparison of centralities for biological networks | 41 |
About Dirk Koschützki
Dirk Koschützki is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Molecular Biology, having authored 18 papers that have together received 805 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Gene Regulatory Network Analysis (9 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (142 citations), Computational Theory and Mathematics (138 citations) and Molecular Biology (572 citations). Dirk Koschützki has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Falk Schreiber, Falk Schreiber, Björn H. Junker, Eva Grafahrend‐Belau, Gabriel del Rio, Kai Xu, Henning Schwöbbermeyer, Uwe Scholz, Stéphan Weise and Beth Junker. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.