S. Gustafson
Impact in
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
-
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Evolutionary Algorithms and Applications 6
- Metaheuristic Optimization Algorithms Research 6
- Reinforcement Learning in Robotics 2
- Genetics 2
- Evolution and Genetic Dynamics 2
- Co-authors
- Edmund Burke (3 shared papers)Graham Kendall (1 shared paper)Natalio Krasnogor (1 shared paper)William B. Langdon (2 shared papers)Leonardo Vanneschi (1 shared paper)Walter Gordy (1 shared paper)David B. Bracewell (1 shared paper)Abha Moitra (1 shared paper)
- Journals
- Genetic Programming and Evolvable Machines (2 papers)IEEE Transactions on Evolutionary Computation (2 papers)Physics Letters A (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
S. Gustafson
8 papers receiving 284 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 238
- Computational Theory and Mathematics 52
- Industrial and Manufacturing Engineering 20
- Architecture 2
- Software 4
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-authors
The 9 scholars most cited alongside S. Gustafson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 201 | |
| 2 | 2005 | 48 | |
| 3 | 2010 | 20 | |
| 4 | 2008 | 18 | |
| 5 | 1974 | 7 | |
| 6 | 2005 | 6 | |
| 7 | 2009 | 3 | |
| 8 | 2005 | 1 |
About S. Gustafson
S. Gustafson is a scholar working on Artificial Intelligence, Genetics, Molecular Biology, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 8 papers that have together received 304 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (6 papers), Evolution and Genetic Dynamics (2 papers), Reinforcement Learning in Robotics (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Complex Network Analysis Techniques (1 paper), Digital Marketing and Social Media (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Artificial Intelligence (238 citations), Computational Theory and Mathematics (52 citations), Industrial and Manufacturing Engineering (20 citations), Architecture (2 citations) and Software (4 citations). S. Gustafson has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Edmund Burke, Graham Kendall, Natalio Krasnogor, William B. Langdon, Leonardo Vanneschi, Walter Gordy, David B. Bracewell, Abha Moitra and Huaiyu Ma. Their work appears in journals such as Genetic Programming and Evolvable Machines, IEEE Transactions on Evolutionary Computation and Physics Letters A.
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.