David A. van Leeuwen
David A. van Leeuwen publishes mostly in Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Music and Audio Processing.
- World rank
- #475,596 of 7,710,434 ranked researchers
- Rank in Netherlands
- #11,773 of 107,149
- Works
- 193
- Citations
- 3.9k
- Citations per work
- 20.2
What does David A. van Leeuwen research?
David A. van Leeuwen's work is mostly in Computer Science (76%), Psychology (6%), Physics and Astronomy (2%).
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
- Physical Sciences14977.2%
- Computer Science14675.6%
- Physics and Astronomy31.6%
- Everything else2914.9%
- Social Sciences126.3%
- Psychology126.3%
- Health Sciences31.6%
- Health Professions31.6%
- 1Artificial Intelligence44% of their works
- 2Signal Processing29% of their works
- 3Experimental and Cognitive Psychology6% of their works
- 4Computer Vision and Pattern Recognition2% of their works
- 5Atomic and Molecular Physics, and Optics2% of their works
- 6General Health Professions2% of their works
Research topics
Which keywords describe David A. van Leeuwen's research?
The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Acoustic Modeling, Deep Neural Networks, Neural Networks, Audio-Visual Speech Recognition, Speech Enhancement and Feature Extraction.
- Word Representation
- Multimodal Data
- Speech Perception
- Spoken Dialogue Systems
- Statistical Machine Translation
- Music Information Retrieval
- Feature Extraction
- Audio-Visual Speech Recognition
- Deep Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Acoustic Modeling
- Neural Networks
- Speech Enhancement
- Audio Signal Classification
- Neural Machine Translation
- Markov Decision Processes
- Phonetics
- Emotion Recognition
- 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.
All 20 words, with their numbers
- Convolutional Neural Networks1972 topics
- Deep Learning1593 topics
- Acoustic Modeling1351 topic
- Deep Neural Networks1351 topic
- Neural Networks922 topics
- Audio-Visual Speech Recognition851 topic
- Speech Enhancement851 topic
- Feature Extraction742 topics
- Audio Signal Classification621 topic
- Music Information Retrieval621 topic
- Neural Machine Translation401 topic
- Statistical Machine Translation401 topic
- Markov Decision Processes281 topic
- Spoken Dialogue Systems281 topic
- Phonetics201 topic
- Speech Perception201 topic
- Emotion Recognition121 topic
- Multimodal Data121 topic
- Machine Translation71 topic
- Word Representation71 topic
Where does David A. van Leeuwen work?
David A. van Leeuwen's main affiliation in the publication record is Radboud University Nijmegen, Netherlands.
How many publications and citations does David A. van Leeuwen have?
OpenAlex counts 193 works and 3,891 citations for David A. van Leeuwen, an h-index of 36, ranking #475,596 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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