Science Explorer Interactive view Map

Paul M. Baggenstoss

Paul M. Baggenstoss publishes mostly in Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Speech and Audio Processing, Neural Networks and Applications and Music and Audio Processing.

World rank
#1,618,247
of 1,633,909 ranked researchers
Rank in Germany
#85,805
of 86,443
Works
19
Citations
9
Citations per work
0.5

What does Paul M. Baggenstoss research?

Signal Processing: 29.7%Artificial Intelligence: 21.6%Computer Vision and Pattern Recognition: 21.6%Ecology: 5.4%other fields: 21.7%30%top field
Signal Processing29.7%Artificial Intelligence21.6%Computer Vision and Pattern Recognition21.6%Ecology5.4%other fields21.7%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Signal Processing30% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Computer Vision and Pattern Recognition22% of their works
  4. 4Ecology5% of their works
  5. 5Molecular Biology3% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Paul M. Baggenstoss's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Audio-Visual Speech Recognition, Convolutional Neural Networks, Speech Enhancement, Sparse Representation, Audio Signal Classification and Backpropagation 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 20 words, with their numbers
  1. Deep Learning155 topics
  2. Neural Networks103 topics
  3. Audio-Visual Speech Recognition51 topic
  4. Convolutional Neural Networks52 topics
  5. Speech Enhancement51 topic
  6. Sparse Representation42 topics
  7. Audio Signal Classification31 topic
  8. Backpropagation Learning31 topic
  9. Music Information Retrieval31 topic
  10. Self-Organizing Maps31 topic
  11. Anthropogenic Noise21 topic
  12. Blind Separation21 topic
  13. Dimensionality Reduction21 topic
  14. Face Recognition21 topic
  15. Generative Adversarial Networks21 topic
  16. Image Denoising21 topic
  17. Image Synthesis21 topic
  18. Independent Component Analysis21 topic
  19. Marine Mammals21 topic
  20. Sparse Representations21 topic

Where does Paul M. Baggenstoss work?

Paul M. Baggenstoss's main affiliation in the publication record is Fraunhofer Institute for Communication, Information Processing and Ergonomics, Germany.

How many publications and citations does Paul M. Baggenstoss have?

Science Explorer counts 19 works and 9 citations for Paul M. Baggenstoss, ranking #1,618,247 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.