Jacob Walker
Jacob Walker publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Law, on topics such as Anomaly Detection Techniques and Applications, Generative Adversarial Networks and Image Synthesis and Domain Adaptation and Few-Shot Learning.
- World rank
- #2,038,973 of 7,710,434 ranked researchers
- Rank in United States
- #617,606 of 1,627,098
- Works
- 17
- Citations
- 1k
- Citations per work
- 61.4
What does Jacob Walker research?
Jacob Walker's work is mostly in Computer Science (73%), Psychology (4%), Social Sciences (4%).
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 Sciences1273.0%
- Computer Science1273.0%
- Everything else214.4%
- Social Sciences18.4%
- Psychology14.2%
- Social Sciences14.2%
- Life Sciences14.2%
- 1Computer Vision and Pattern Recognition42% of their works
- 2Artificial Intelligence31% of their works
- 3Law4% of their works
- 4Experimental and Cognitive Psychology4% of their works
- 5Cellular and Molecular Neuroscience2% of their works
- 6Ecology, Evolution, Behavior and Systematics2% of their works
Research topics
- Anomaly Detection Techniques and Applications
- Generative Adversarial Networks and Image Synthesis
- Domain Adaptation and Few-Shot Learning
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Reinforcement Learning in Robotics
- Animal Behavior and Reproduction
Which keywords describe Jacob Walker's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Unsupervised Learning, Representation Learning, Convolutional Networks, Anomaly Detection, Generative Adversarial Networks and Image Synthesis.
- Natural Selection
- Reinforcement Learning
- Image Captioning
- Stereo Vision
- Domain Adaptation
- Action Recognition
- Image Synthesis
- Anomaly Detection
- Representation Learning
- Neural Networks
- Deep Learning
- Unsupervised Learning
- Convolutional Networks
- Generative Adversarial Networks
- Unsupervised
- Depth Estimation
- Pose Estimation
- Transfer Learning
- Visual Question Answering
- Robotics
- Phenotypic Plasticity
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 21 words, with their numbers
- Deep Learning215 topics
- Neural Networks174 topics
- Unsupervised Learning143 topics
- Representation Learning102 topics
- Convolutional Networks82 topics
- Anomaly Detection61 topic
- Generative Adversarial Networks61 topic
- Image Synthesis61 topic
- Unsupervised61 topic
- Action Recognition41 topic
- Depth Estimation41 topic
- Domain Adaptation41 topic
- Pose Estimation41 topic
- Stereo Vision41 topic
- Transfer Learning41 topic
- Image Captioning31 topic
- Visual Question Answering31 topic
- Reinforcement Learning21 topic
- Robotics21 topic
- Natural Selection11 topic
- Phenotypic Plasticity11 topic
Where does Jacob Walker work?
Jacob Walker's main affiliation in the publication record is Carnegie Mellon University, United States.
How many publications and citations does Jacob Walker have?
OpenAlex counts 17 works and 1,043 citations for Jacob Walker, an h-index of 8, ranking #2,038,973 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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