S. Gustafson
- Artificial Intelligence top 5%
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Genetics
- Industrial and Manufacturing Engineering
- Co-authors
- Edmund BurkeGraham KendallNatalio KrasnogorWilliam B. LangdonLeonardo VanneschiWalter GordyAbha MoitraDavid B. Bracewell
- Topics
- Metaheuristic Optimization Algorithms Research (6 papers)Evolutionary Algorithms and Applications (6 papers)Reinforcement Learning in Robotics (2 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Journals
- Physics Letters AIEEE Transactions on Evolutionary ComputationGenetic Programming and Evolvable Machines
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
S. Gustafson
8 papers receiving 282 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 238
- Molecular Biology 61
- Computational Theory and Mathematics 52
- Genetics 28
- Industrial and Manufacturing Engineering 20
Countries citing papers authored by S. Gustafson
This map shows the geographic impact of S. Gustafson'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 S. Gustafson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Gustafson more than expected).
Fields of papers citing papers by S. Gustafson
This network shows the impact of papers produced by S. Gustafson. 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 S. Gustafson. The network helps show where S. Gustafson may publish in the future.
Co-authorship network of co-authors of S. Gustafson
This figure shows the co-authorship network connecting the top 25 collaborators of S. Gustafson. A scholar is included among the top collaborators of S. Gustafson 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 S. Gustafson. S. Gustafson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 3 | |
| 3 | 18 | |
| 4 | 48 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 200 | |
| 8 | 7 |
About S. Gustafson
S. Gustafson is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Genetics, having authored 8 papers that have together received 303 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (6 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Artificial Intelligence (238 citations), Computational Theory and Mathematics (52 citations) and Industrial and Manufacturing Engineering (20 citations). S. Gustafson has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Edmund Burke, Graham Kendall, Natalio Krasnogor, William B. Langdon, Leonardo Vanneschi, Walter Gordy, Abha Moitra and David B. Bracewell. Their work appears in journals such as Physics Letters A, IEEE Transactions on Evolutionary Computation and Genetic Programming and Evolvable Machines.
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.