Lucas Bradstreet
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 5%
- Control and Systems Engineering
- Topics
- Advanced Multi-Objective Optimization Algorithms (11 papers)Metaheuristic Optimization Algorithms Research (8 papers)Evolutionary Algorithms and Applications (6 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Journals
- Australasian Journal of ParamedicineIEEE Transactions on Evolutionary ComputationUWA Profiles and Research Repository (University of Western Australia)
- Partner nations
- Australia
In The Last Decade
Lucas Bradstreet
12 papers receiving 544 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Computational Theory and Mathematics 484
- Artificial Intelligence 388
- Management Science and Operations Research 132
- Statistics, Probability and Uncertainty 60
- Control and Systems Engineering 50
Countries citing papers authored by Lucas Bradstreet
This map shows the geographic impact of Lucas Bradstreet'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 Lucas Bradstreet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas Bradstreet more than expected).
Fields of papers citing papers by Lucas Bradstreet
This network shows the impact of papers produced by Lucas Bradstreet. 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 Lucas Bradstreet. The network helps show where Lucas Bradstreet may publish in the future.
Co-authorship network of co-authors of Lucas Bradstreet
This figure shows the co-authorship network connecting the top 25 collaborators of Lucas Bradstreet. A scholar is included among the top collaborators of Lucas Bradstreet 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 Lucas Bradstreet. Lucas Bradstreet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | The hypervolume indicator for multi-objective optimisation: calculation and use | 26 |
| 3 | A Fast Way of Calculating Exact Hypervolumesbreakdown → | 319 |
| 4 | 15 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 61 | |
| 8 | 14 | |
| 9 | 28 | |
| 10 | 28 | |
| 11 | 3 | |
| 12 | 44 |
About Lucas Bradstreet
Lucas Bradstreet is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 12 papers that have together received 573 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Evolutionary Algorithms and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (484 citations), Artificial Intelligence (388 citations) and Management Science and Operations Research (132 citations). Lucas Bradstreet has collaborated with scholars based in Australia. Frequent co-authors include Lyndon While, Luigi Barone, Philip Hingston and Simon Huband. Their work appears in journals such as Australasian Journal of Paramedicine, IEEE Transactions on Evolutionary Computation and UWA Profiles and Research Repository (University of Western Australia).
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.