Peter Dittrich

4.0k total citations
102 papers, 2.0k citations indexed

About

Peter Dittrich is a scholar working on Molecular Biology, Cell Biology and Astronomy and Astrophysics. According to data from OpenAlex, Peter Dittrich has authored 102 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 15 papers in Cell Biology and 14 papers in Astronomy and Astrophysics. Recurrent topics in Peter Dittrich's work include Gene Regulatory Network Analysis (35 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and Microtubule and mitosis dynamics (15 papers). Peter Dittrich is often cited by papers focused on Gene Regulatory Network Analysis (35 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and Microtubule and mitosis dynamics (15 papers). Peter Dittrich collaborates with scholars based in Germany, United Kingdom and Canada. Peter Dittrich's 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 and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Bioinformatics.

In The Last Decade

Peter Dittrich

96 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Dittrich Germany	25	1.2k	319	304	220	178	102	2.0k
John S. McCaskill Germany	26	1.8k 1.5×	461 1.4×	94 0.3×	187 0.8×	761 4.3×	117	3.2k
Federico Morán Spain	20	1.6k 1.4×	130 0.4×	128 0.4×	63 0.3×	386 2.2×	77	2.7k
Steen Rasmussen United States	26	835 0.7×	814 2.6×	69 0.2×	332 1.5×	269 1.5×	126	2.6k
Sandeep Krishna India	32	1.7k 1.4×	175 0.5×	98 0.3×	30 0.1×	672 3.8×	87	2.5k
François Képès France	27	2.1k 1.8×	91 0.3×	534 1.8×	74 0.3×	558 3.1×	91	2.5k
Annick Lesne France	27	1.5k 1.3×	49 0.2×	68 0.2×	82 0.4×	240 1.3×	102	2.6k
Ilya Nemenman United States	26	2.9k 2.5×	40 0.1×	162 0.5×	510 2.3×	333 1.9×	81	4.6k
Johannes Jaeger Spain	32	2.5k 2.1×	52 0.2×	249 0.8×	131 0.6×	700 3.9×	68	3.0k
David Akopian United States	25	919 0.8×	33 0.1×	206 0.7×	216 1.0×	268 1.5×	185	2.7k
Mark A. Bedau United States	25	597 0.5×	510 1.6×	17 0.1×	374 1.7×	301 1.7×	129	2.3k

Countries citing papers authored by Peter Dittrich

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Peter Dittrich

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Dittrich. A scholar is included among the top collaborators of Peter Dittrich 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 Peter Dittrich. Peter Dittrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ibrahim, Bashar, et al.. (2021). Linking Network Structure and Dynamics to Describe the Set of Persistent Species in Reaction Diffusion Systems. SIAM Journal on Applied Dynamical Systems. 20(4). 2037–2076. 11 indexed citations

Hölzer, Martin, Kevin Lamkiewicz, Pietro Speroni di Fenizio, et al.. (2019). Structure and Hierarchy of Influenza Virus Models Revealed by Reaction Network Analysis. Viruses. 11(5). 449–449. 11 indexed citations

Ibrahim, Bashar, et al.. (2019). Spatial Rule-Based Simulations: The SRSim Software. Methods in molecular biology. 1945. 231–249. 3 indexed citations

Dittrich, Peter, Nuno Carvalhais, Martin Jung, et al.. (2017). Reverse engineering model structures for soil and ecosystem respiration: the potential of gene expression programming. Geoscientific model development. 10(9). 3519–3545. 10 indexed citations

Dittrich, Peter, et al.. (2014). Structural analysis of in silico mutant experiments of human inner-kinetochore structure. Biosystems. 127. 47–59. 7 indexed citations

Gruenert, Gerd, et al.. (2013). Multi-scale Modelling of Computers Made from Excitable Chemical Droplets.. International journal of unconventional computing. 9. 237–266. 14 indexed citations

Görlich, Dennis & Peter Dittrich. (2013). Molecular Codes in Biological and Chemical Reaction Networks. PLoS ONE. 8(1). e54694–e54694. 11 indexed citations

Schlücker, Sebastian, et al.. (2012). Optimal control of coherent anti-Stokes Raman scattering image contrast. Applied Physics Letters. 100(26). 1 indexed citations

Veloz, Tomás, et al.. (2012). Cycles and the Qualitative Evolution of Chemical Systems. PLoS ONE. 7(10). e45772–e45772. 32 indexed citations

10.

Gruenert, Gerd, Peter Dittrich, & Klaus‐Peter Zauner. (2011). Artificial Wet Neuronal Networks from Compartmentalised Excitable Chemical Media.. ePrints Soton (University of Southampton). 2011. 30–32. 11 indexed citations

11.

Amos, Martyn, Peter Dittrich, John S. McCaskill, & Steen Rasmussen. (2011). Biological and Chemical Information Technologies. Procedia Computer Science. 7. 56–60. 16 indexed citations

12.

Lenser, Thorsten, et al.. (2008). Tracking the Evolution of Chemical Computing Networks. Artificial Life. 343–350. 1 indexed citations

13.

Hinze, Thomas, et al.. (2008). BIOSIGNAL-BASED COMPUTING BY AHL INDUCED SYNTHETIC GENE REGULATORY NETWORKS - From an in vivo Flip-Flop Implementation to Programmable Computing Agents. 162–169. 2 indexed citations

14.

Centler, Florian, et al.. (2007). Chemical Organization Theory as a Theoretical Base for Chemical Computing.. International journal of unconventional computing. 3. 285–309. 15 indexed citations

15.

Dittrich, Peter. (2005). The Bio-Chemical Information Processing Metaphor as a Programming Paradigm for Organic Computing.. 95–99. 5 indexed citations

16.

Dittrich, Peter, et al.. (1999). Dynamical properties of the fitness landscape of a GP controlled random morphology robot. PUB – Publications at Bielefeld University (Bielefeld University). 1002–1008. 2 indexed citations

17.

Dittrich, Peter, Jens Ziegler, & Wolfgang Banzhaf. (1998). Mesoscopic analysis of self-evolution in an artificial chemistry. 95–103. 6 indexed citations

18.

Dittrich, Peter. (1989). A stochastic model of a chemical reaction with diffusion. Mathematical and Computer Modelling. 12(9). 1183–1183.

19.

Dittrich, Peter. (1988). A stochastic particle system: Fluctuations around a nonlinear reaction-diffusion equation. Stochastic Processes and their Applications. 30(1). 149–164. 18 indexed citations

20.

Dittrich, Peter. (1987). Limit Theorems for Branching Diffusions in Hydrodynamical Rescaling. Mathematische Nachrichten. 131(1). 59–72. 6 indexed citations

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.

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