Peter Dittrich
- Astronomy and Astrophysics top 5%
- Origins and Evolution of Life 13
- Cell Biology top 5%
- Microtubule and mitosis dynamics 15
- Molecular Biology top 10%
- Gene Regulatory Network Analysis 35
- Microbial Metabolic Engineering and Bioproduction 16
- Protein Structure and Dynamics 10
- Genomics and Chromatin Dynamics 9
- DNA and Biological Computing 9
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- Evolution and Genetic Dynamics 9
- Co-authors
- Wolfgang BanzhafJens ZieglerBashar IbrahimPietro Speroni di FenizioGerd GruenertFlorian CentlerThorsten LenserJan T. Kim
- Partner nations
- GermanyUnited KingdomCanada
In The Last Decade
Peter Dittrich
96 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 143
- Astronomy and Astrophysics 319
- Cell Biology 304
- Molecular Biology 1.2k
- Computational Theory and Mathematics 133
- Statistical and Nonlinear Physics 95
Countries citing papers authored by Peter Dittrich
This map shows the geographic impact of Peter Dittrich'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 Peter Dittrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Dittrich more than expected).
Fields of papers citing papers by Peter Dittrich
This network shows the impact of papers produced by Peter Dittrich. 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 Peter Dittrich. The network helps show where Peter Dittrich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Dittrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 16 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2017 | 10 | |
| 9 | 2017 | 16 | |
| 10 | 2015 | 5 | |
| 11 | 2013 | 11 | |
| 12 | Artificial Wet Neuronal Networks from Compartmentalised Excitable Chemical Media. | 2011 | 11 |
| 13 | 2009 | 24 | |
| 14 | Tracking the Evolution of Chemical Computing Networks | 2008 | 1 |
| 15 | 2008 | 29 | |
| 16 | Chemical Organization Theory as a Theoretical Base for Chemical Computing. | 2007 | 15 |
| 17 | 2007 | 111 | |
| 18 | The Bio-Chemical Information Processing Metaphor as a Programming Paradigm for Organic Computing. | 2005 | 5 |
| 19 | Dynamical properties of the fitness landscape of a GP controlled random morphology robot | 1999 | 2 |
| 20 | 1988 | 18 |
About Peter Dittrich
Peter Dittrich is a scholar working on Acoustics and Ultrasonics, Cell Biology and Molecular Biology, having authored 102 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (35 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), Microtubule and mitosis dynamics (15 papers), Origins and Evolution of Life (13 papers), Protein Structure and Dynamics (10 papers), Genomics and Chromatin Dynamics (9 papers), DNA and Biological Computing (9 papers) and Evolution and Genetic Dynamics (9 papers). The work is most often cited by research in Astronomy and Astrophysics (319 citations), Cell Biology (304 citations) and Molecular Biology (1.2k citations). Peter Dittrich has collaborated with scholars based in Germany, United Kingdom and Canada. Frequent co-authors include Wolfgang Banzhaf, Jens Ziegler, Bashar Ibrahim, Pietro Speroni di Fenizio, Gerd Gruenert, Florian Centler, Thorsten Lenser, Jan T. Kim, Thomas Christaller and Stephan Diekmann. Their work appears in journals such as Biosystems, Scientific Reports, Artificial Life, Bioinformatics and BMC Systems Biology.
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.