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Researcher · Masaryk University · Czechia

Valdemar Švábenský

Valdemar Švábenský publishes mostly in Information Systems, Computer Science Applications and Artificial Intelligence, on topics such as Information and Cyber Security, Online Learning and Analytics and Intelligent Tutoring Systems and Adaptive Learning.

ORCID 0000-0001-8546-280X OpenAlex
World rank
#420,626
of 7,710,434 ranked researchers
Rank in Czechia
#608
of 39,303
Works
84
Citations
635
Citations per work
7.6
h-index
14
i10-index 19Top 10% in Information Systems
Valdemar Švábenský

What does Valdemar Švábenský research?

Valdemar Švábenský's work is mostly in Computer Science (68%), Engineering (6%), Social Sciences (6%).

Physical Sciences: 62 works · 73.5% of their workComputer Science: 57 works · 68.0% of their workInformation Systems: 22 works · 26.7% of their workComputer Science Applications: 16 works · 18.8% of their workArtificial Intelligence: 13 works · 15.8% of their workComputer Networks and Communications: 6 works · 6.7% of their workEngineering: 5 works · 5.5% of their workMedia Technology: 5 works · 5.5% of their workEverything else: 18 works · 21.0% of their workSocial Sciences: 5 works · 5.5% of their workSocial Sciences: 5 works · 5.5% of their workEducation: 5 works · 5.5% of their workTHEIR WORKValdemarŠvábenský84works
Physical Sciences74%Social Sciences6%

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 Science5768.0%
    2. Engineering55.5%
  2. Everything else1821.0%
    1. Social Sciences55.5%
  1. 1Information Systems27% of their works
  2. 2Computer Science Applications19% of their works
  3. 3Artificial Intelligence16% of their works
  4. 4Computer Networks and Communications7% of their works
  5. 5Media Technology6% of their works
  6. 6Education6% of their works

Research topics

Which keywords describe Valdemar Švábenský's research?

The keywords of their largest research topics: Machine Learning, Cybersecurity, Learning Analytics, Information Security, Policy Compliance, Educational Data Mining, Massive Open Online Courses and STEM Education.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Machine Learning353 topics
  2. Cybersecurity292 topics
  3. Learning Analytics292 topics
  4. Information Security231 topic
  5. Policy Compliance231 topic
  6. Educational Data Mining201 topic
  7. Massive Open Online Courses201 topic
  8. STEM Education182 topics
  9. Affective States111 topic
  10. Anomaly Detection112 topics
  11. Intelligent Tutoring Systems111 topic
  12. Code Clone Detection91 topic
  13. Computational Thinking91 topic
  14. Engineering Education91 topic
  15. Programming Education91 topic
  16. Refactoring91 topic
  17. Remote Laboratories91 topic
  18. Intrusion Detection61 topic
  19. Network Security61 topic
  20. Log Analysis51 topic
  21. Performance Prediction51 topic

Where does Valdemar Švábenský work?

Valdemar Švábenský's main affiliation in the publication record is Masaryk University, Czechia.

How many publications and citations does Valdemar Švábenský have?

OpenAlex counts 84 works and 635 citations for Valdemar Švábenský, an h-index of 14, ranking #420,626 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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