Philip N. Garner
Philip N. Garner 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
- #968,225 of 1,633,909 ranked researchers
- Rank in Switzerland
- #14,114 of 19,404
- Works
- 49
- Citations
- 87
- Citations per work
- 1.8
What does Philip N. Garner research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence44% of their works
- 2Signal Processing33% of their works
- 3Computer Vision and Pattern Recognition7% of their works
- 4Education4% of their works
- 5Atmospheric Science3% of their works
- 6Experimental and Cognitive Psychology3% of their works
Research topics
Which keywords describe Philip N. Garner's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Neural Networks, Acoustic Modeling, Deep Neural Networks, Audio-Visual Speech Recognition, Speech Enhancement and Audio Signal Classification.
- Backpropagation Learning
- Wavelet Compression
- Markov Decision Processes
- JPEG2000
- Neural Machine Translation
- Audio Signal Classification
- Audio-Visual Speech Recognition
- Acoustic Modeling
- Convolutional Neural Networks
- Deep Learning
- Neural Networks
- Deep Neural Networks
- Speech Enhancement
- Music Information Retrieval
- Statistical Machine Translation
- Machine Translation
- Spoken Dialogue Systems
- Word Representation
- 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.
All 19 words, with their numbers
- Deep Learning284 topics
- Convolutional Neural Networks272 topics
- Neural Networks173 topics
- Acoustic Modeling161 topic
- Deep Neural Networks161 topic
- Audio-Visual Speech Recognition131 topic
- Speech Enhancement131 topic
- Audio Signal Classification111 topic
- Music Information Retrieval111 topic
- Neural Machine Translation61 topic
- Statistical Machine Translation61 topic
- JPEG200031 topic
- Machine Translation31 topic
- Markov Decision Processes31 topic
- Spoken Dialogue Systems31 topic
- Wavelet Compression31 topic
- Word Representation31 topic
- Backpropagation Learning11 topic
- Self-Organizing Maps11 topic
Where does Philip N. Garner work?
Philip N. Garner's main affiliation in the publication record is Idiap Research Institute, Switzerland.
How many publications and citations does Philip N. Garner have?
Science Explorer counts 49 works and 87 citations for Philip N. Garner, ranking #968,225 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.