Andrew Wuensche

1.2k total citations
18 papers, 624 citations indexed

About

Andrew Wuensche is a scholar working on Computational Theory and Mathematics, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, Andrew Wuensche has authored 18 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 8 papers in Molecular Biology and 6 papers in Condensed Matter Physics. Recurrent topics in Andrew Wuensche's work include Cellular Automata and Applications (15 papers), Theoretical and Computational Physics (6 papers) and DNA and Biological Computing (4 papers). Andrew Wuensche is often cited by papers focused on Cellular Automata and Applications (15 papers), Theoretical and Computational Physics (6 papers) and DNA and Biological Computing (4 papers). Andrew Wuensche collaborates with scholars based in United Kingdom, United States and Italy. Andrew Wuensche's co-authors include Stuart Kauffman, Stephen Harris, Andrew Adamatzky, Ben de Lacy Costello, Leonardo Vanneschi, Stefania Bandini, Genaro J. Martínez and Liang Zhang and has published in prestigious journals such as Chaos Solitons & Fractals, Mathematical and Computer Modelling and Complexity.

In The Last Decade

Andrew Wuensche

18 papers receiving 572 citations

Peers

Andrew Wuensche
Andrew Wuensche
Citations per year, relative to Andrew Wuensche Andrew Wuensche (= 1×) peers Éric Goles

Countries citing papers authored by Andrew Wuensche

Since Specialization
Citations

This map shows the geographic impact of Andrew Wuensche'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 Andrew Wuensche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Wuensche more than expected).

Fields of papers citing papers by Andrew Wuensche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Wuensche. 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 Andrew Wuensche. The network helps show where Andrew Wuensche may publish in the future.

Co-authorship network of co-authors of Andrew Wuensche

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

All Works

18 of 18 papers shown
1.
Adamatzky, Andrew & Andrew Wuensche. (2013). On Creativity and Elementary Cellular Automata. Complex Systems. 22(4). 361–376. 3 indexed citations
2.
Wuensche, Andrew. (2011). Exploring Discrete Dynamics. 19 indexed citations
3.
Adamatzky, Andrew, Genaro J. Martínez, Liang Zhang, & Andrew Wuensche. (2010). Operating binary strings using gliders and eaters in reaction-diffusion cellular automaton. Mathematical and Computer Modelling. 52(1-2). 177–190. 5 indexed citations
4.
Wuensche, Andrew. (2009). CELLULAR AUTOMATA ENCRYPTION: the reverse algorithm, Z-parameter and chain-rules. Parallel Processing Letters. 19(2). 283–297. 10 indexed citations
5.
Bandini, Stefania, et al.. (2009). CELLULAR AUTOMATA PATTERN RECOGNITION AND RULE EVOLUTION THROUGH A NEURO-GENETIC APPROACH. BOA (University of Milano-Bicocca). 4(3). 171–181. 2 indexed citations
6.
Bandini, Stefania, et al.. (2008). A Neuro-Genetic Framework for Pattern Recognition in Complex Systems. Fundamenta Informaticae. 87(2). 207–226. 4 indexed citations
7.
Wuensche, Andrew. (2008). Encryption using cellular automata chain-rules.. 126–138. 1 indexed citations
8.
Adamatzky, Andrew, et al.. (2006). Computing in Spiral Rule Reaction-Diffusion Hexagonal Cellular Automaton. Complex Systems. 16(4). 277–297. 9 indexed citations
9.
Wuensche, Andrew & Andrew Adamatzky. (2006). ON SPIRAL GLIDER-GUNS IN HEXAGONAL CELLULAR AUTOMATA: ACTIVATOR-INHIBITOR PARADIGM. International Journal of Modern Physics C. 17(7). 1009–1026. 14 indexed citations
10.
Wuensche, Andrew. (2005). Glider Dynamics in 3-Value Hexagonal Cellular Automata: The Beehive Rule. International journal of unconventional computing. 1. 375–398. 9 indexed citations
11.
Adamatzky, Andrew, Andrew Wuensche, & Ben de Lacy Costello. (2005). Glider-based computing in reaction-diffusion hexagonal cellular automata. Chaos Solitons & Fractals. 27(2). 287–295. 34 indexed citations
12.
Wuensche, Andrew. (2003). Discrete dynamics lab: tools for investigating cellular automata and discrete dynamical networks. Kybernetes. 32(1/2). 77–104. 13 indexed citations
13.
Harris, Stephen, et al.. (2002). A model of transcriptional regulatory networks based on biases in the observed regulation rules. Complexity. 7(4). 23–40. 187 indexed citations
14.
Wuensche, Andrew. (2000). Basins of attraction in cellular automata. Complexity. 5(6). 19–25. 5 indexed citations
17.
Wuensche, Andrew. (1998). Genomic regulation modeled as a network with basins of attraction.. PubMed. 89–102. 78 indexed citations
18.
Wuensche, Andrew, et al.. (1992). The global dynamics of cellular automata : an atlas of basin of attraction fields of one-dimensional cellular automata. Addison-Wesley eBooks. 71 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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