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Researcher · Max Planck Institute for Empirical Aesthetics · Germany

Pol van Rijn

Pol van Rijn publishes mostly in Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing, on topics such as Speech Recognition and Synthesis, Speech and dialogue systems and Topic Modeling.

ORCID 0000-0002-4044-9123 OpenAlex
World rank
#2,388,795
of 7,710,434 ranked researchers
Rank in Germany
#118,077
of 364,343
Works
35
Citations
254
Citations per work
7.3
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Pol van Rijn

What does Pol van Rijn research?

Pol van Rijn's work is mostly in Computer Science (44%), Psychology (16%), Neuroscience (8%).

Physical Sciences: 15 works · 44.0% of their workComputer Science: 15 works · 44.0% of their workArtificial Intelligence: 12 works · 34.7% of their workSignal Processing: 3 works · 9.3% of their workEverything else: 8 works · 22.7% of their workSocial Sciences: 7 works · 21.3% of their workPsychology: 6 works · 16.0% of their workExperimental and Cognitive Psychology: 6 works · 16.0% of their workSocial Sciences: 2 works · 5.3% of their workCultural Studies: 2 works · 5.3% of their workLife Sciences: 4 works · 12.0% of their workNeuroscience: 3 works · 8.0% of their workCognitive Neuroscience: 3 works · 8.0% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.0% of their workMolecular Biology: 1 works · 4.0% of their workTHEIR WORKPol van Rijn35works
Life Sciences12%Physical Sciences44%Social Sciences21%

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 Science1544.0%
  2. Everything else822.7%
    1. Psychology616.0%
    2. Social Sciences25.3%
    1. Neuroscience38.0%
    2. Biochemistry, Genetics and Molecular Biology14.0%
  1. 1Artificial Intelligence35% of their works
  2. 2Experimental and Cognitive Psychology16% of their works
  3. 3Signal Processing9% of their works
  4. 4Cognitive Neuroscience8% of their works
  5. 5Cultural Studies5% of their works
  6. 6Molecular Biology4% of their works

Research topics

Which keywords describe Pol van Rijn's research?

The keywords of their largest research topics: Convolutional Neural Networks, Acoustic Modeling, Deep Neural Networks, Deep Learning, Markov Decision Processes, Neural Networks, Spoken Dialogue Systems and Audio Signal Classification.

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 19 words, with their numbers
  1. Convolutional Neural Networks122 topics
  2. Acoustic Modeling81 topic
  3. Deep Neural Networks81 topic
  4. Deep Learning72 topics
  5. Markov Decision Processes71 topic
  6. Neural Networks72 topics
  7. Spoken Dialogue Systems71 topic
  8. Audio Signal Classification41 topic
  9. Crossmodal Processing41 topic
  10. Cultural Evolution41 topic
  11. Language41 topic
  12. Machine Translation41 topic
  13. Multisensory Integration41 topic
  14. Music Information Retrieval41 topic
  15. Word Representation41 topic
  16. Audio-Visual Speech Recognition31 topic
  17. Neural Machine Translation31 topic
  18. Speech Enhancement31 topic
  19. Statistical Machine Translation31 topic

Where does Pol van Rijn work?

Pol van Rijn's main affiliation in the publication record is Max Planck Institute for Empirical Aesthetics, Germany.

How many publications and citations does Pol van Rijn have?

OpenAlex counts 35 works and 254 citations for Pol van Rijn, an h-index of 8, ranking #2,388,795 of 7,710,434 researchers worldwide on the quality 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 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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