Science Explorer Back to mapMap
Discussion
Researcher · University of West Bohemia in Pilsen · Czechia

Markéta Jůzová

Markéta Jůzová publishes mostly in Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, on topics such as Speech Recognition and Synthesis, Natural Language Processing Techniques and Speech and dialogue systems.

OpenAlex
World rank
#6,085,104
of 7,710,434 ranked researchers
Rank in Czechia
#24,456
of 39,303
Works
27
Citations
118
Citations per work
4.4
h-index
7
i10-index 3Top 65% in Artificial Intelligence
Markéta Jůzová

What does Markéta Jůzová research?

Markéta Jůzová's work is mostly in Computer Science (76%), Psychology (7%), Medicine (4%).

Physical Sciences: 21 works · 79.2% of their workComputer Science: 21 works · 76.4% of their workArtificial Intelligence: 18 works · 65.3% of their workSignal Processing: 2 works · 8.3% of their workComputer Networks and Communications: 1 works · 2.8% of their workEngineering: 1 works · 2.8% of their workCivil and Structural Engineering: 1 works · 2.8% of their workEverything else: 3 works · 9.7% of their workSocial Sciences: 2 works · 6.9% of their workPsychology: 2 works · 6.9% of their workExperimental and Cognitive Psychology: 2 works · 6.9% of their workHealth Sciences: 1 works · 4.2% of their workMedicine: 1 works · 4.2% of their workPhysiology: 1 works · 4.2% of their workTHEIR WORKMarkéta Jůzová27works
Physical Sciences79%Health Sciences4%Social Sciences7%

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 Science2176.4%
    2. Engineering12.8%
  2. Everything else39.7%
    1. Psychology26.9%
    1. Medicine14.2%
  1. 1Artificial Intelligence65% of their works
  2. 2Signal Processing8% of their works
  3. 3Experimental and Cognitive Psychology7% of their works
  4. 4Physiology4% of their works
  5. 5Civil and Structural Engineering3% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Markéta Jůzová's research?

The keywords of their largest research topics: Acoustic Modeling, Deep Neural Networks, Neural Machine Translation, Statistical Machine Translation, Markov Decision Processes, Spoken Dialogue Systems, Neural Networks and Deep Learning.

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 18 words, with their numbers
  1. Acoustic Modeling191 topic
  2. Deep Neural Networks191 topic
  3. Neural Machine Translation121 topic
  4. Statistical Machine Translation121 topic
  5. Markov Decision Processes111 topic
  6. Spoken Dialogue Systems111 topic
  7. Neural Networks83 topics
  8. Deep Learning62 topics
  9. Phonetics51 topic
  10. Speech Perception51 topic
  11. Audio-Visual Speech Recognition41 topic
  12. Speech Enhancement41 topic
  13. Parkinson's Disease31 topic
  14. Voice Disorders31 topic
  15. Anomaly Detection21 topic
  16. Machine Translation21 topic
  17. Unsupervised21 topic
  18. Word Representation21 topic

Where does Markéta Jůzová work?

Markéta Jůzová's main affiliation in the publication record is University of West Bohemia in Pilsen, Czechia.

How many publications and citations does Markéta Jůzová have?

OpenAlex counts 27 works and 118 citations for Markéta Jůzová, an h-index of 7, ranking #6,085,104 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.

Discussion

Ask a question or share a note about Markéta Jůzová. Posts are plain text and can be reported.