Grant Dick
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
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- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 26
- Evolutionary Algorithms and Applications 25
- Reinforcement Learning in Robotics 4
- Genetics 12
- Evolution and Genetic Dynamics 11
- Co-authors
- Peter A. Whigham (25 shared papers)Will N. Browne (2 shared papers)James Maclaurin (3 shared papers)Xin Yao (1 shared paper)Hamish G. Spencer (1 shared paper)Friedrich Recknagel (1 shared paper)Michael C. Parry (1 shared paper)Stephen Cranefield (1 shared paper)
- Journals
- Genetic Programming and Evolvable Machines (4 papers)IEEE Transactions on Evolutionary Computation (3 papers)Theoretical Population Biology (1 paper)Soft Computing (1 paper)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)
- Partner nations
- New ZealandAustraliaUnited Kingdom
In The Last Decade
Grant Dick
39 papers receiving 323 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 241
- Computational Theory and Mathematics 75
- Signal Processing 21
- Computer Networks and Communications 44
- Industrial and Manufacturing Engineering 15
Countries citing papers authored by Grant Dick
This map shows the geographic impact of Grant Dick'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 Grant Dick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grant Dick more than expected).
Fields of papers citing papers by Grant Dick
This network shows the impact of papers produced by Grant Dick. 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 Grant Dick. The network helps show where Grant Dick may publish in the future.
Co-authors
The 16 scholars most cited alongside Grant Dick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 42 | |
| 2 | 2014 | 27 | |
| 3 | 2015 | 24 | |
| 4 | 2004 | 23 | |
| 5 | 2017 | 17 | |
| 6 | Feature selection of intrusion detection data using a hybrid genetic algorithm/KNN approach | 2003 | 15 |
| 7 | 2010 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2007 | 13 | |
| 10 | 2015 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2005 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2008 | 8 | |
| 15 | A Comparison of Localised and Global Niching Methods | 2005 | 8 |
| 16 | 2010 | 8 | |
| 17 | 2008 | 8 | |
| 18 | 2006 | 7 | |
| 19 | 2014 | 7 | |
| 20 | 2020 | 7 |
About Grant Dick
Grant Dick is a scholar working on Artificial Intelligence, Genetics, Molecular Biology, Sociology and Political Science and Computational Theory and Mathematics, having authored 42 papers that have together received 337 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (26 papers), Evolutionary Algorithms and Applications (25 papers), Evolution and Genetic Dynamics (11 papers), Evolutionary Game Theory and Cooperation (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Reinforcement Learning in Robotics (4 papers) and Animal Behavior and Reproduction (3 papers). The work is most often cited by research in Artificial Intelligence (241 citations), Computational Theory and Mathematics (75 citations), Signal Processing (21 citations), Computer Networks and Communications (44 citations) and Industrial and Manufacturing Engineering (15 citations). Grant Dick has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Peter A. Whigham, Will N. Browne, James Maclaurin, Xin Yao, Hamish G. Spencer, Friedrich Recknagel, Michael C. Parry, Stephen Cranefield, Lam Thu Bui and Xiaodong Li. Their work appears in journals such as Genetic Programming and Evolvable Machines, IEEE Transactions on Evolutionary Computation, Theoretical Population Biology, Soft Computing and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.
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.