Yuri Malitsky

1.4k total citations
22 papers, 375 citations indexed

About

Yuri Malitsky is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Yuri Malitsky has authored 22 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in Yuri Malitsky's work include Constraint Satisfaction and Optimization (12 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Machine Learning and Data Classification (6 papers). Yuri Malitsky is often cited by papers focused on Constraint Satisfaction and Optimization (12 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Machine Learning and Data Classification (6 papers). Yuri Malitsky collaborates with scholars based in United States, Ireland and Germany. Yuri Malitsky's co-authors include Meinolf Sellmann, Horst Samulowitz, Kevin Tierney, Carlos Ansótegui, Holger H. Hoos, Joaquin Vanschoren, Lars Kotthoff, Marius Lindauer, Kevin Leyton‐Brown and Alexandre Fréchette and has published in prestigious journals such as European Journal of Operational Research, Artificial Intelligence and Constraints.

In The Last Decade

Yuri Malitsky

20 papers receiving 363 citations

Peers

Yuri Malitsky
Comparison fields: 5 of 57
  • Artificial Intelligence 252
  • Computer Networks and Communications 129
  • Computational Theory and Mathematics 95
  • Industrial and Manufacturing Engineering 79
  • Management Science and Operations Research 71
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Citations per field, relative to Yuri Malitsky
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Citations per year, relative to Yuri Malitsky
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Countries citing papers authored by Yuri Malitsky

Since Specialization
Citations

This map shows the geographic impact of Yuri Malitsky'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 Yuri Malitsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri Malitsky more than expected).

Fields of papers citing papers by Yuri Malitsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuri Malitsky. 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 Yuri Malitsky. The network helps show where Yuri Malitsky may publish in the future.

Co-authorship network of co-authors of Yuri Malitsky

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 2
4 1
5 24
6 115
7
Model-based genetic algorithms for algorithm configuration
38
8
ReACTR: realtime algorithm configuration through tournament rankings
5
9 25
10 4
11 8
12 17
13 1
14 30
15
Algorithm portfolios based on cost-sensitive hierarchical clustering
36
16
Fitness Landscape Based Features for Exploiting Black-Box Optimization Problem Structure
8
17 9
18 1
19 7
20
Exploring GnuGo's evaluation function with a SVM
1

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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