Andrew Tuson
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition
- Signal Processing top 10%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Peter RossTao GongRichard JensenQiang ShenSomnuk Phon-AmnuaisukGeraínt A. WigginsGeorgios Th. PapadopoulosRobert B. Fisher
- Topics
- Metaheuristic Optimization Algorithms Research (6 papers)Evolutionary Algorithms and Applications (4 papers)Rough Sets and Fuzzy Logic (3 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- Information SciencesJournal of the Operational Research SocietyInformation Processing & Management
- Partner nations
- United KingdomChileUnited States
In The Last Decade
Andrew Tuson
18 papers receiving 272 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 173
- Computational Theory and Mathematics 121
- Computer Vision and Pattern Recognition 56
- Signal Processing 50
- Industrial and Manufacturing Engineering 49
Countries citing papers authored by Andrew Tuson
This map shows the geographic impact of Andrew Tuson'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 Tuson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Tuson more than expected).
Fields of papers citing papers by Andrew Tuson
This network shows the impact of papers produced by Andrew Tuson. 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 Tuson. The network helps show where Andrew Tuson may publish in the future.
Co-authorship network of co-authors of Andrew Tuson
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Tuson. A scholar is included among the top collaborators of Andrew Tuson 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 Tuson. Andrew Tuson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 22 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | On the inference and management of macro-actions in forward-chaining planning | 1 |
| 13 | 17 | |
| 14 | Characterisation of FAD-family folds using a machine learning approach | 1 |
| 15 | 12 | |
| 16 | 110 | |
| 17 | Evolutionary methods for musical composition | 53 |
| 18 | 2 |
About Andrew Tuson
Andrew Tuson is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 18 papers that have together received 304 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (4 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Computational Theory and Mathematics (121 citations), Artificial Intelligence (173 citations) and Industrial and Manufacturing Engineering (49 citations). Andrew Tuson has collaborated with scholars based in United Kingdom, Chile and United States. Frequent co-authors include Peter Ross, Tao Gong, Richard Jensen, Qiang Shen, Somnuk Phon-Amnuaisuk, Geraínt A. Wiggins, Georgios Th. Papadopoulos, Robert B. Fisher, Frank Mill and Andrew MacFarlane. Their work appears in journals such as Information Sciences, Journal of the Operational Research Society and Information Processing & Management.
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.