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Researcher · University of Bremen · Germany

Tanja Schultz

Tanja Schultz publishes mostly in Artificial Intelligence, Signal Processing and Cognitive Neuroscience, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Natural Language Processing Techniques.

ORCID 0000-0002-9809-7028 OpenAlex
World rank
#168,106
of 7,710,434 ranked researchers
Rank in Germany
#8,593
of 364,343
Works
782
Citations
27k
Citations per work
34.2
h-index
78
i10-index 406Top 0.2% in Artificial Intelligence
Tanja Schultz

What does Tanja Schultz research?

Tanja Schultz's work is mostly in Computer Science (51%), Neuroscience (10%), Social Sciences (4%).

Physical Sciences: 396 works · 50.7% of their workComputer Science: 396 works · 50.7% of their workArtificial Intelligence: 233 works · 29.8% of their workSignal Processing: 91 works · 11.6% of their workComputer Vision and Pattern Recognition: 39 works · 5.0% of their workHuman-Computer Interaction: 34 works · 4.3% of their workEverything else: 274 works · 35.1% of their workLife Sciences: 78 works · 10.0% of their workNeuroscience: 78 works · 10.0% of their workCognitive Neuroscience: 78 works · 10.0% of their workSocial Sciences: 33 works · 4.2% of their workSocial Sciences: 33 works · 4.2% of their workGender Studies: 33 works · 4.2% of their workTHEIR WORKTanja Schultz782works
Life Sciences10%Physical Sciences51%Social Sciences4%

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 Science39650.7%
  2. Everything else27435.1%
    1. Neuroscience7810.0%
    1. Social Sciences334.2%
  1. 1Artificial Intelligence30% of their works
  2. 2Signal Processing12% of their works
  3. 3Cognitive Neuroscience10% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Human-Computer Interaction4% of their works
  6. 6Gender Studies4% of their works

Research topics

Which keywords describe Tanja Schultz's research?

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

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. Convolutional Neural Networks3092 topics
  2. Acoustic Modeling2401 topic
  3. Deep Neural Networks2401 topic
  4. Deep Learning2052 topics
  5. Neural Networks1862 topics
  6. Audio-Visual Speech Recognition1361 topic
  7. Speech Enhancement1361 topic
  8. Neural Machine Translation1341 topic
  9. Statistical Machine Translation1341 topic
  10. Brain-Computer Interfaces1181 topic
  11. EEG Analysis1181 topic
  12. Markov Decision Processes1141 topic
  13. Spoken Dialogue Systems1141 topic
  14. Audio Signal Classification691 topic
  15. Music Information Retrieval691 topic
  16. Gender Inequality631 topic
  17. Labor Force Participation631 topic
  18. Machine Translation501 topic
  19. Word Representation501 topic

Where does Tanja Schultz work?

Tanja Schultz's main affiliation in the publication record is University of Bremen, Germany.

How many publications and citations does Tanja Schultz have?

OpenAlex counts 782 works and 26,768 citations for Tanja Schultz, an h-index of 78, ranking #168,106 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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