Ted H. Applebaum
Ted H. Applebaum 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 Natural Language Processing Techniques.
- World rank
- #4,522,408 of 7,710,434 ranked researchers
- Rank in United States
- #1,201,911 of 1,627,098
- Works
- 23
- Citations
- 295
- Citations per work
- 12.8
What does Ted H. Applebaum research?
Ted H. Applebaum's work is mostly in Computer Science (75%), Psychology (7%), Engineering (5%).
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 Sciences1879.7%
- Computer Science1774.6%
- Engineering15.1%
- Everything else313.5%
- Social Sciences26.8%
- Psychology26.8%
- 1Artificial Intelligence46% of their works
- 2Signal Processing22% of their works
- 3Computer Vision and Pattern Recognition7% of their works
- 4Experimental and Cognitive Psychology7% of their works
- 5Mechanics of Materials3% of their works
- 6Aerospace Engineering2% of their works
Research topics
Which keywords describe Ted H. Applebaum'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.
- Text Detection
- Music Information Retrieval
- JPEG2000
- Audio Signal Classification
- Phonetics
- Neural Machine Translation
- Audio-Visual Speech Recognition
- Deep Learning
- Acoustic Modeling
- Convolutional Neural Networks
- Deep Neural Networks
- Neural Networks
- Speech Enhancement
- Statistical Machine Translation
- Speech Perception
- Handwriting Recognition
- Markov Decision Processes
- Spoken Dialogue Systems
- Wavelet Compression
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 Networks213 topics
- Acoustic Modeling171 topic
- Deep Neural Networks171 topic
- Deep Learning143 topics
- Neural Networks122 topics
- Audio-Visual Speech Recognition101 topic
- Speech Enhancement101 topic
- Neural Machine Translation51 topic
- Statistical Machine Translation51 topic
- Phonetics41 topic
- Speech Perception41 topic
- Audio Signal Classification21 topic
- Handwriting Recognition21 topic
- JPEG200021 topic
- Markov Decision Processes21 topic
- Music Information Retrieval21 topic
- Spoken Dialogue Systems21 topic
- Text Detection21 topic
- Wavelet Compression21 topic
Where does Ted H. Applebaum work?
Ted H. Applebaum's main affiliation in the publication record is Panasonic (United States), United States.
How many publications and citations does Ted H. Applebaum have?
OpenAlex counts 23 works and 295 citations for Ted H. Applebaum, an h-index of 8, ranking #4,522,408 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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