Rafał Sałustowicz
Impact in
- Artificial Intelligence top 10%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Neural Networks and Applications
- Artificial Intelligence in Games
- Fuzzy Logic and Control Systems
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Reinforcement Learning in Robotics 6
- Evolutionary Algorithms and Applications 6
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- Sports Analytics and Performance 4
- Co-authors
- Jürgen Schmidhuber (6 shared papers)Marco Wiering (3 shared papers)Juergen Schmidhuber (3 shared papers)
- Journals
- Autonomous Robots (1 paper)Evolutionary Computation (1 paper)Machine Learning (1 paper)Data Archiving and Networked Services (DANS) (1 paper)Utrecht University Repository (Utrecht University) (1 paper)
- Partner nations
- Switzerland
In The Last Decade
Rafał Sałustowicz
8 papers receiving 195 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 195
- Computational Theory and Mathematics 38
- Management Science and Operations Research 22
- Computer Science Applications 8
- Software 4
Countries citing papers authored by Rafał Sałustowicz
This map shows the geographic impact of Rafał Sałustowicz'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 Rafał Sałustowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafał Sałustowicz more than expected).
Fields of papers citing papers by Rafał Sałustowicz
This network shows the impact of papers produced by Rafał Sałustowicz. 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 Rafał Sałustowicz. The network helps show where Rafał Sałustowicz may publish in the future.
Co-authors
The 3 scholars most cited alongside Rafał Sałustowicz, 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 | 1997 | 148 | |
| 2 | 1998 | 31 | |
| 3 | 1999 | 24 | |
| 4 | Evolving Structured Programs with Hierarchical Instructions and Skip Nodes | 1998 | 6 |
| 5 | 1998 | 5 | |
| 6 | Evolving Soccer Strategies | 1997 | 4 |
| 7 | 1997 | 4 | |
| 8 | Reinforcement Learning Soccer Teams with Incomplete World Models Neural Networks for Robot Learning | 1999 | 2 |
| 9 | From probabilities to programs with probabilistic incremental program evolution | 1999 | 1 |
| 10 | 1998 | 1 | |
| 11 | Sequence learning through PIPE and automatic task decomposition | 1999 | 0 |
About Rafał Sałustowicz
Rafał Sałustowicz is a scholar working on Artificial Intelligence, Economics and Econometrics, Information Systems, Computer Science Applications and Electrical and Electronic Engineering, having authored 11 papers that have together received 226 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Evolutionary Algorithms and Applications (6 papers), Sports Analytics and Performance (4 papers), Software Engineering Research (3 papers), Teaching and Learning Programming (2 papers), Advanced Memory and Neural Computing (2 papers), Parallel Computing and Optimization Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Artificial Intelligence (195 citations), Computational Theory and Mathematics (38 citations), Management Science and Operations Research (22 citations), Computer Science Applications (8 citations) and Software (4 citations). Rafał Sałustowicz has collaborated with scholars based in Switzerland. Frequent co-authors include Jürgen Schmidhuber, Marco Wiering and Juergen Schmidhuber. Their work appears in journals such as Autonomous Robots, Evolutionary Computation, Machine Learning, Data Archiving and Networked Services (DANS) and Utrecht University Repository (Utrecht University).
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.