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Researcher · Austrian Research Institute for Artificial Intelligence · Austria

Elias Pampalk

Elias Pampalk publishes mostly in Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Music and Audio Processing, Music Technology and Sound Studies and Speech and Audio Processing.

OpenAlex
World rank
#571,879
of 7,710,434 ranked researchers
Rank in Austria
#3,693
of 43,330
Works
49
Citations
2.5k
Citations per work
51.8
h-index
26
i10-index 40Top 6.1% in Signal Processing
Elias Pampalk

What does Elias Pampalk research?

Elias Pampalk's work is mostly in Computer Science (86%), Neuroscience (8%), Arts and Humanities (5%).

Physical Sciences: 42 works · 86.2% of their workComputer Science: 42 works · 86.2% of their workSignal Processing: 22 works · 45.5% of their workComputer Vision and Pattern Recognition: 14 works · 29.0% of their workArtificial Intelligence: 6 works · 11.7% of their workLife Sciences: 4 works · 7.6% of their workNeuroscience: 4 works · 7.6% of their workCognitive Neuroscience: 4 works · 7.6% of their workSocial Sciences: 3 works · 5.5% of their workArts and Humanities: 2 works · 4.8% of their workMusic: 2 works · 4.8% of their workSocial Sciences: 0 works · 0.7% of their workSociology and Political Science: 0 works · 0.7% of their workTHEIR WORKElias Pampalk49works
Life Sciences8%Physical Sciences86%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 Science4286.2%
    1. Neuroscience47.6%
    1. Arts and Humanities24.8%
    2. Social Sciences00.7%
  1. 1Signal Processing46% of their works
  2. 2Computer Vision and Pattern Recognition29% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Cognitive Neuroscience8% of their works
  5. 5Music5% of their works
  6. 6Sociology and Political Science1% of their works

Research topics

Which keywords describe Elias Pampalk's research?

The keywords of their largest research topics: Deep Learning, Feature Extraction, Audio Signal Classification, Music Information Retrieval, Interactive Evolutionary Computation, Music Generation, Neural Networks and Audio-Visual Speech 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 19 words, with their numbers
  1. Deep Learning724 topics
  2. Feature Extraction512 topics
  3. Audio Signal Classification451 topic
  4. Music Information Retrieval451 topic
  5. Interactive Evolutionary Computation351 topic
  6. Music Generation351 topic
  7. Neural Networks212 topics
  8. Audio-Visual Speech Recognition131 topic
  9. Speech Enhancement131 topic
  10. Auditory Cortex101 topic
  11. Temporal Processing101 topic
  12. Backpropagation Learning81 topic
  13. Self-Organizing Maps81 topic
  14. Ecomusicology71 topic
  15. Ethnomusicology71 topic
  16. Clustering61 topic
  17. Time Series61 topic
  18. Content-Based Retrieval41 topic
  19. Video Summarization41 topic

Where does Elias Pampalk work?

Elias Pampalk's main affiliation in the publication record is Austrian Research Institute for Artificial Intelligence, Austria.

How many publications and citations does Elias Pampalk have?

OpenAlex counts 49 works and 2,536 citations for Elias Pampalk, an h-index of 26, ranking #571,879 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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