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Researcher · Czech Academy of Sciences, Institute of Computer Science · Czechia

Stanislav Slušný

Stanislav Slušný publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Neural Networks and Applications, Metaheuristic Optimization Algorithms Research and Evolutionary Algorithms and Applications.

OpenAlex
World rank
#6,278,653
of 7,710,434 ranked researchers
Rank in Czechia
#26,010
of 39,303
Works
18
Citations
52
Citations per work
2.9
h-index
5
i10-index 1Top 82% in Artificial Intelligence
Stanislav Slušný

What does Stanislav Slušný research?

Stanislav Slušný's work is mostly in Computer Science (90%), Engineering (8%).

Physical Sciences: 18 works · 98.0% of their workComputer Science: 16 works · 89.6% of their workArtificial Intelligence: 12 works · 68.8% of their workComputer Vision and Pattern Recognition: 2 works · 10.4% of their workComputer Networks and Communications: 1 works · 8.3% of their workComputational Theory and Mathematics: 0 works · 2.1% of their workEngineering: 2 works · 8.4% of their workControl and Systems Engineering: 1 works · 4.2% of their workIndustrial and Manufacturing Engineering: 1 works · 4.2% of their workTHEIR WORKStanislav Slušný18works
Physical Sciences98%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1689.6%
    2. Engineering28.4%
  1. 1Artificial Intelligence69% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Industrial and Manufacturing Engineering4% of their works
  5. 5Control and Systems Engineering4% of their works
  6. 6Computational Theory and Mathematics2% of their works

Research topics

Which keywords describe Stanislav Slušný's research?

The keywords of their largest research topics: Deep Learning, Evolutionary Algorithms, Neural Networks, Multi-Agent Systems, Backpropagation Learning, Differential Evolution, Particle Swarm Optimization and Self-Organizing Maps.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 21 words, with their numbers
  1. Deep Learning173 topics
  2. Evolutionary Algorithms152 topics
  3. Neural Networks152 topics
  4. Multi-Agent Systems112 topics
  5. Backpropagation Learning91 topic
  6. Differential Evolution91 topic
  7. Particle Swarm Optimization91 topic
  8. Self-Organizing Maps91 topic
  9. Machine Learning82 topics
  10. Classification61 topic
  11. Genetic Programming61 topic
  12. Reinforcement Learning61 topic
  13. Robotics61 topic
  14. Optimal Motion Planning51 topic
  15. Sampling-Based Algorithms51 topic
  16. Constraint Optimization31 topic
  17. Distributed Algorithms31 topic
  18. Fuzzy Logic Systems21 topic
  19. Grasping21 topic
  20. Robot Learning21 topic
  21. Type-2 Fuzzy Sets21 topic

Where does Stanislav Slušný work?

Stanislav Slušný's main affiliation in the publication record is Czech Academy of Sciences, Institute of Computer Science, Czechia.

How many publications and citations does Stanislav Slušný have?

OpenAlex counts 18 works and 52 citations for Stanislav Slušný, an h-index of 5, ranking #6,278,653 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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