Science Explorer Back to mapMap
Discussion
Researcher · Universität Ulm · Germany

Sergey Zablotskiy

Sergey Zablotskiy publishes mostly in Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Natural Language Processing Techniques.

OpenAlex
World rank
#6,097,459
of 7,710,434 ranked researchers
Rank in Germany
#310,967
of 364,343
Works
15
Citations
32
Citations per work
2.1
h-index
3
i10-index 1Top 95% in Artificial Intelligence
Sergey Zablotskiy

What does Sergey Zablotskiy research?

Sergey Zablotskiy's work is mostly in Computer Science (74%), Engineering (8%), Social Sciences (5%).

Physical Sciences: 12 works · 81.6% of their workComputer Science: 11 works · 73.7% of their workArtificial Intelligence: 8 works · 52.6% of their workSignal Processing: 2 works · 15.8% of their workComputer Vision and Pattern Recognition: 1 works · 5.3% of their workEngineering: 1 works · 7.9% of their workElectrical and Electronic Engineering: 1 works · 7.9% of their workEverything else: 2 works · 13.2% of their workSocial Sciences: 1 works · 5.2% of their workSocial Sciences: 1 works · 5.2% of their workCommunication: 0 works · 2.6% of their workCultural Studies: 0 works · 2.6% of their workTHEIR WORKSergey Zablotskiy15works
Physical Sciences82%Social Sciences5%

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 Science1173.7%
    2. Engineering17.9%
  2. Everything else213.2%
    1. Social Sciences15.2%
  1. 1Artificial Intelligence53% of their works
  2. 2Signal Processing16% of their works
  3. 3Electrical and Electronic Engineering8% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Cultural Studies3% of their works
  6. 6Communication3% of their works

Research topics

Which keywords describe Sergey Zablotskiy's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Neural Networks, Acoustic Modeling, Deep Neural Networks, Audio-Visual Speech Recognition, Speech Enhancement and Evolutionary Algorithms.

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 20 words, with their numbers
  1. Convolutional Neural Networks92 topics
  2. Deep Learning83 topics
  3. Neural Networks83 topics
  4. Acoustic Modeling71 topic
  5. Deep Neural Networks71 topic
  6. Audio-Visual Speech Recognition41 topic
  7. Speech Enhancement41 topic
  8. Evolutionary Algorithms32 topics
  9. Neural Machine Translation31 topic
  10. Statistical Machine Translation31 topic
  11. Audio Signal Classification21 topic
  12. Backpropagation Learning21 topic
  13. Differential Evolution21 topic
  14. Machine Translation21 topic
  15. Music Information Retrieval21 topic
  16. Particle Swarm Optimization21 topic
  17. Self-Organizing Maps21 topic
  18. Word Representation21 topic
  19. Genetic Programming11 topic
  20. Machine Learning11 topic

Where does Sergey Zablotskiy work?

Sergey Zablotskiy's main affiliation in the publication record is Universität Ulm, Germany.

How many publications and citations does Sergey Zablotskiy have?

OpenAlex counts 15 works and 32 citations for Sergey Zablotskiy, an h-index of 3, ranking #6,097,459 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 Sergey Zablotskiy. Posts are plain text and can be reported.