Rafał Sałustowicz

445 total citations
11 papers, 226 citations indexed

About

Rafał Sałustowicz is a scholar working on Artificial Intelligence, Economics and Econometrics and Information Systems. According to data from OpenAlex, Rafał Sałustowicz has authored 11 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Economics and Econometrics and 3 papers in Information Systems. Recurrent topics in Rafał Sałustowicz's work include Evolutionary Algorithms and Applications (6 papers), Reinforcement Learning in Robotics (6 papers) and Sports Analytics and Performance (4 papers). Rafał Sałustowicz is often cited by papers focused on Evolutionary Algorithms and Applications (6 papers), Reinforcement Learning in Robotics (6 papers) and Sports Analytics and Performance (4 papers). Rafał Sałustowicz collaborates with scholars based in Switzerland. Rafał Sałustowicz's co-authors include Jürgen Schmidhuber, Marco Wiering and Juergen Schmidhuber and has published in prestigious journals such as Machine Learning, Autonomous Robots and Evolutionary Computation.

In The Last Decade

Rafał Sałustowicz

8 papers receiving 195 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rafał Sałustowicz Switzerland	5	195	38	27	22	14	11	226
Yongbin Liu China	10	203 1.0×	18 0.5×	40 1.5×	29 1.3×	3 0.2×	35	266
Nadarajen Veerapen United Kingdom	6	81 0.4×	42 1.1×	14 0.5×	13 0.6×	5 0.4×	21	146
Luis Talavera Spain	6	114 0.6×	19 0.5×	17 0.6×	4 0.2×	5 0.4×	8	174
Sang-Hyeun Park Germany	6	138 0.7×	12 0.3×	22 0.8×	20 0.9×	7 0.5×	7	156
Anna Philippou Cyprus	8	41 0.2×	56 1.5×	9 0.3×	33 1.5×	4 0.3×	28	160
Chao Bian China	9	141 0.7×	108 2.8×	6 0.2×	7 0.3×	10 0.7×	22	184
Yongduo Sui China	7	187 1.0×	13 0.3×	11 0.4×	9 0.4×	9 0.6×	17	228
Keting Cen China	4	159 0.8×	9 0.2×	13 0.5×	5 0.2×	6 0.4×	8	242
Franca Debole Italy	5	342 1.8×	15 0.4×	21 0.8×	9 0.4×	3 0.2×	12	393
Arun Tejasvi Chaganty United States	8	179 0.9×	8 0.2×	8 0.3×	16 0.7×	5 0.4×	16	217

Countries citing papers authored by Rafał Sałustowicz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rafał Sałustowicz

This figure shows the co-authorship network connecting the top 25 collaborators of Rafał Sałustowicz. A scholar is included among the top collaborators of Rafał Sałustowicz 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 Rafał Sałustowicz. Rafał Sałustowicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Sałustowicz, Rafał & Jürgen Schmidhuber. (1999). Sequence learning through PIPE and automatic task decomposition. Genetic and Evolutionary Computation Conference. 1184–1191.

2.

Sałustowicz, Rafał & Jürgen Schmidhuber. (1999). From probabilities to programs with probabilistic incremental program evolution. 433–450. 1 indexed citations

3.

Wiering, Marco, Rafał Sałustowicz, & Jürgen Schmidhuber. (1999). Reinforcement Learning Soccer Teams with Incomplete World Models. Autonomous Robots. 7(1). 77–88. 24 indexed citations

4.

Sałustowicz, Rafał, et al.. (1999). Reinforcement Learning Soccer Teams with Incomplete World Models Neural Networks for Robot Learning. 7(1). 77–88. 2 indexed citations

5.

Sałustowicz, Rafał & Jürgen Schmidhuber. (1998). Evolving Structured Programs with Hierarchical Instructions and Skip Nodes. International Conference on Machine Learning. 488–496. 6 indexed citations

6.

Sałustowicz, Rafał & Juergen Schmidhuber. (1998). Learning to Predict Through Probabilistic Incremental Program Evolution and Automatic Task Decomposition. SUPSI ARIS. 1 indexed citations

7.

Sałustowicz, Rafał & Juergen Schmidhuber. (1998). H-PIPE: Facilitating Hierarchical Program Evolution through Skip Nodes. SUPSI ARIS. 5 indexed citations

8.

Sałustowicz, Rafał, Marco Wiering, & Jürgen Schmidhuber. (1998). Learning Team Strategies: Soccer Case Studies. Machine Learning. 33(2-3). 263–282. 31 indexed citations

9.

Sałustowicz, Rafał, et al.. (1997). Evolving Soccer Strategies. Utrecht University Repository (Utrecht University). 4 indexed citations

10.

Sałustowicz, Rafał, Marco Wiering, & Juergen Schmidhuber. (1997). Learning Team Strategies With Multiple Policy-Sharing Agents: A Soccer Case Study. Data Archiving and Networked Services (DANS). 29. 1–20. 4 indexed citations

11.

Sałustowicz, Rafał & Jürgen Schmidhuber. (1997). Probabilistic Incremental Program Evolution. Evolutionary Computation. 5(2). 123–141. 148 indexed citations

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.

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