Jonathan Raiman
Jonathan Raiman publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Topic Modeling, Natural Language Processing Techniques and Speech Recognition and Synthesis.
- World rank
- #2,030,026 of 7,710,434 ranked researchers
- Rank in China
- #312,844 of 978,568
- Works
- 35
- Citations
- 4.9k
- Citations per work
- 141.4
What does Jonathan Raiman research?
Jonathan Raiman's work is mostly in Computer Science (88%), Engineering (5%), Decision Sciences (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 Sciences3393.2%
- Computer Science3188.2%
- Engineering25.0%
- Everything else24.8%
- Social Sciences12.0%
- Decision Sciences12.0%
- 1Artificial Intelligence70% of their works
- 2Computer Vision and Pattern Recognition14% of their works
- 3Electrical and Electronic Engineering5% of their works
- 4Signal Processing3% of their works
- 5Management Science and Operations Research2% of their works
- 6Information Systems1% of their works
Research topics
Which keywords describe Jonathan Raiman's research?
The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Deep Learning, Deep Neural Networks, Neural Machine Translation, Statistical Machine Translation and Acoustic Modeling.
- Generative Adversarial Networks
- ASIC
- Reinforcement Learning
- Interpretable Models
- Image Captioning
- Acoustic Modeling
- Neural Machine Translation
- Deep Learning
- Machine Translation
- Neural Networks
- Word Representation
- Deep Neural Networks
- Statistical Machine Translation
- Speaker Verification
- Visual Question Answering
- Machine Learning Interpretability
- Robotics
- FPGA
- Image Synthesis
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
- Neural Networks414 topics
- Machine Translation231 topic
- Word Representation231 topic
- Deep Learning183 topics
- Deep Neural Networks182 topics
- Neural Machine Translation141 topic
- Statistical Machine Translation141 topic
- Acoustic Modeling121 topic
- Speaker Verification121 topic
- Image Captioning111 topic
- Visual Question Answering111 topic
- Interpretable Models61 topic
- Machine Learning Interpretability61 topic
- Reinforcement Learning41 topic
- Robotics41 topic
- ASIC31 topic
- FPGA31 topic
- Generative Adversarial Networks31 topic
- Image Synthesis31 topic
Where does Jonathan Raiman work?
Jonathan Raiman's main affiliation in the publication record is Baidu (China), China.
How many publications and citations does Jonathan Raiman have?
OpenAlex counts 35 works and 4,948 citations for Jonathan Raiman, an h-index of 13, ranking #2,030,026 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
Ask a question or share a note about Jonathan Raiman. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.