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Researcher · Fraunhofer-Gesellschaft · Germany

Oliver Hellmuth

Oliver Hellmuth publishes mostly in Signal Processing, Computer Vision and Pattern Recognition and Visual Arts and Performing Arts, on topics such as Speech and Audio Processing, Music and Audio Processing and Music Technology and Sound Studies.

OpenAlex
World rank
#2,781,111
of 7,710,434 ranked researchers
Rank in Germany
#138,020
of 364,343
Works
20
Citations
401
Citations per work
20.1
h-index
9
i10-index 9Top 50% in Signal Processing
Oliver Hellmuth

What does Oliver Hellmuth research?

Oliver Hellmuth's work is mostly in Computer Science (69%), Arts and Humanities (8%), Neuroscience (4%).

Physical Sciences: 14 works · 72.5% of their workComputer Science: 14 works · 68.6% of their workSignal Processing: 8 works · 39.2% of their workComputer Vision and Pattern Recognition: 6 works · 29.4% of their workPhysics and Astronomy: 1 works · 3.9% of their workAtomic and Molecular Physics, and Optics: 1 works · 3.9% of their workEverything else: 3 works · 15.8% of their workSocial Sciences: 2 works · 7.8% of their workArts and Humanities: 2 works · 7.8% of their workMusic: 1 works · 3.9% of their workVisual Arts and Performing Arts: 1 works · 3.9% of their workLife Sciences: 1 works · 3.9% of their workNeuroscience: 1 works · 3.9% of their workCognitive Neuroscience: 1 works · 3.9% of their workTHEIR WORKOliver Hellmuth20works
Life Sciences4%Physical Sciences72%Social Sciences8%

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 Science1468.6%
    2. Physics and Astronomy13.9%
  2. Everything else315.8%
    1. Arts and Humanities27.8%
    1. Neuroscience13.9%
  1. 1Signal Processing39% of their works
  2. 2Computer Vision and Pattern Recognition29% of their works
  3. 3Visual Arts and Performing Arts4% of their works
  4. 4Music4% of their works
  5. 5Atomic and Molecular Physics, and Optics4% of their works
  6. 6Cognitive Neuroscience4% of their works

Research topics

Which keywords describe Oliver Hellmuth's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Audio Signal Classification, Audio-Visual Speech Recognition, Music Information Retrieval, Speech Enhancement, Interactive Evolutionary Computation and Music Generation.

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 Learning244 topics
  2. Neural Networks112 topics
  3. Audio Signal Classification91 topic
  4. Audio-Visual Speech Recognition91 topic
  5. Music Information Retrieval91 topic
  6. Speech Enhancement91 topic
  7. Interactive Evolutionary Computation71 topic
  8. Music Generation71 topic
  9. JPEG200041 topic
  10. Wavelet Compression41 topic
  11. Cognitive Decline21 topic
  12. Color Constancy21 topic
  13. Colorimetry21 topic
  14. Content-Based Retrieval21 topic
  15. Digital Forensics21 topic
  16. Hearing Loss21 topic
  17. Image Forgery Detection21 topic
  18. Video Summarization21 topic

Where does Oliver Hellmuth work?

Oliver Hellmuth's main affiliation in the publication record is Fraunhofer-Gesellschaft, Germany.

How many publications and citations does Oliver Hellmuth have?

OpenAlex counts 20 works and 401 citations for Oliver Hellmuth, an h-index of 9, ranking #2,781,111 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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