Philip C. Woodland
Philip C. Woodland publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Music and Audio Processing.
- World rank
- #126,781 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #11,353 of 367,258
- Works
- 339
- Citations
- 12k
- Citations per work
- 34.5
What does Philip C. Woodland research?
Philip C. Woodland's work is mostly in Computer Science (92%), Psychology (2%), Neuroscience (1%).
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 Sciences31392.4%
- Computer Science31292.0%
- Engineering10.4%
- Everything else164.6%
- Social Sciences51.6%
- Psychology51.6%
- Life Sciences51.4%
- Neuroscience51.4%
- 1Artificial Intelligence58% of their works
- 2Signal Processing31% of their works
- 3Computer Vision and Pattern Recognition4% of their works
- 4Experimental and Cognitive Psychology2% of their works
- 5Cognitive Neuroscience1% of their works
- 6Biomedical Engineering0% of their works
Research topics
Which keywords describe Philip C. Woodland'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 Audio Signal Classification.
- Backpropagation Learning
- JPEG2000
- Markov Decision Processes
- Machine Translation
- Neural Machine Translation
- Audio Signal Classification
- Audio-Visual Speech Recognition
- Deep Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Acoustic Modeling
- Neural Networks
- Speech Enhancement
- Music Information Retrieval
- Statistical Machine Translation
- Word Representation
- Spoken Dialogue Systems
- Wavelet Compression
- Self-Organizing Maps
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
- Convolutional Neural Networks3892 topics
- Deep Learning2984 topics
- Acoustic Modeling2611 topic
- Deep Neural Networks2611 topic
- Neural Networks2143 topics
- Audio-Visual Speech Recognition1431 topic
- Speech Enhancement1431 topic
- Audio Signal Classification1281 topic
- Music Information Retrieval1281 topic
- Neural Machine Translation1241 topic
- Statistical Machine Translation1241 topic
- Machine Translation611 topic
- Word Representation611 topic
- Markov Decision Processes371 topic
- Spoken Dialogue Systems371 topic
- JPEG2000171 topic
- Wavelet Compression171 topic
- Backpropagation Learning101 topic
- Self-Organizing Maps101 topic
Where does Philip C. Woodland work?
Philip C. Woodland's main affiliation in the publication record is University of Cambridge, United Kingdom.
How many publications and citations does Philip C. Woodland have?
OpenAlex counts 339 works and 11,700 citations for Philip C. Woodland, an h-index of 53, ranking #126,781 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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