Andrew Wuensche
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Genetics
- Co-authors
- Stuart KauffmanStephen HarrisAndrew AdamatzkyBen de Lacy CostelloLeonardo VanneschiStefania BandiniGenaro J. MartínezLiang Zhang
- Topics
- Cellular Automata and Applications (15 papers)Theoretical and Computational Physics (6 papers)DNA and Biological Computing (4 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Andrew Wuensche
18 papers receiving 572 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 390
- Computational Theory and Mathematics 304
- Artificial Intelligence 94
- Computer Networks and Communications 75
- Genetics 64
Countries citing papers authored by Andrew Wuensche
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Exploring Discrete Dynamics | 19 |
| 3 | 5 | |
| 4 | 10 | |
| 5 | CELLULAR AUTOMATA PATTERN RECOGNITION AND RULE EVOLUTION THROUGH A NEURO-GENETIC APPROACH | 2 |
| 6 | 4 | |
| 7 | Encryption using cellular automata chain-rules. | 1 |
| 8 | 9 | |
| 9 | 14 | |
| 10 | Glider Dynamics in 3-Value Hexagonal Cellular Automata: The Beehive Rule | 9 |
| 11 | 34 | |
| 12 | 13 | |
| 13 | 187 | |
| 14 | 5 | |
| 15 | 79 | |
| 16 | 81 | |
| 17 | Genomic regulation modeled as a network with basins of attraction. | 78 |
| 18 | The global dynamics of cellular automata : an atlas of basin of attraction fields of one-dimensional cellular automata | 71 |
About Andrew Wuensche
Andrew Wuensche is a scholar working on Computational Theory and Mathematics, Condensed Matter Physics and Mathematical Physics, having authored 18 papers that have together received 624 indexed citations. Recurring topics across this work include Cellular Automata and Applications (15 papers), Theoretical and Computational Physics (6 papers) and DNA and Biological Computing (4 papers). The work is most often cited by research in Computational Theory and Mathematics (304 citations), Molecular Biology (390 citations) and Condensed Matter Physics (62 citations). Andrew Wuensche has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Stuart Kauffman, Stephen Harris, Andrew Adamatzky, Ben de Lacy Costello, Leonardo Vanneschi, Stefania Bandini, Genaro J. Martínez and Liang Zhang. Their work appears in journals such as Chaos Solitons & Fractals, Mathematical and Computer Modelling and Complexity.
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.