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Researcher · Sony Computer Science Laboratories · Japan

Natalia Polouliakh

Natalia Polouliakh publishes mostly in Cognitive Neuroscience, Molecular Biology and Signal Processing, on topics such as Neuroscience and Music Perception, EEG and Brain-Computer Interfaces and Gene expression and cancer classification.

ORCID 0000-0001-8266-2697 OpenAlex
World rank
#5,460,945
of 7,710,434 ranked researchers
Rank in Japan
#184,730
of 383,136
Works
37
Citations
139
Citations per work
3.8
h-index
6
i10-index 5Top 88% in Cognitive Neuroscience
Natalia Polouliakh

What does Natalia Polouliakh research?

Natalia Polouliakh's work is mostly in Neuroscience (30%), Biochemistry, Genetics and Molecular Biology (28%), Computer Science (16%).

Life Sciences: 21 works · 57.9% of their workNeuroscience: 11 works · 29.5% of their workCognitive Neuroscience: 11 works · 29.5% of their workBiochemistry, Genetics and Molecular Biology: 11 works · 28.4% of their workMolecular Biology: 11 works · 28.4% of their workPhysical Sciences: 7 works · 19.0% of their workComputer Science: 6 works · 15.8% of their workSignal Processing: 4 works · 9.5% of their workComputer Vision and Pattern Recognition: 2 works · 6.3% of their workEngineering: 1 works · 3.2% of their workControl and Systems Engineering: 1 works · 3.2% of their workEverything else: 7 works · 17.8% of their workSocial Sciences: 2 works · 5.3% of their workPsychology: 2 works · 5.3% of their workExperimental and Cognitive Psychology: 2 works · 5.3% of their workTHEIR WORKNataliaPolouliakh37works
Life Sciences58%Physical Sciences19%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. Neuroscience1129.5%
    2. Biochemistry, Genetics and Molecular Biology1128.4%
    1. Computer Science615.8%
    2. Engineering13.2%
  3. Everything else717.8%
    1. Psychology25.3%
  1. 1Cognitive Neuroscience30% of their works
  2. 2Molecular Biology28% of their works
  3. 3Signal Processing10% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Experimental and Cognitive Psychology5% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Natalia Polouliakh's research?

The keywords of their largest research topics: Deep Learning, Auditory Cortex, Temporal Processing, Feature Extraction, Brain-Computer Interfaces, EEG Analysis, Audio Signal Classification and Emotion Recognition.

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 18 words, with their numbers
  1. Deep Learning143 topics
  2. Auditory Cortex111 topic
  3. Temporal Processing111 topic
  4. Feature Extraction102 topics
  5. Brain-Computer Interfaces81 topic
  6. EEG Analysis81 topic
  7. Audio Signal Classification51 topic
  8. Emotion Recognition51 topic
  9. Gene Expression51 topic
  10. Gene Set Enrichment Analysis51 topic
  11. Microarray51 topic
  12. Multimodal Data51 topic
  13. Music Information Retrieval51 topic
  14. Protein-Protein Interaction Networks51 topic
  15. Audio-Visual Speech Recognition41 topic
  16. Gene Regulatory Networks41 topic
  17. Speech Enhancement41 topic
  18. Stochastic Gene Expression41 topic

Where does Natalia Polouliakh work?

Natalia Polouliakh's main affiliation in the publication record is Sony Computer Science Laboratories, Japan.

How many publications and citations does Natalia Polouliakh have?

OpenAlex counts 37 works and 139 citations for Natalia Polouliakh, an h-index of 6, ranking #5,460,945 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.

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