Porter Jenkins
Porter Jenkins publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, on topics such as Image Processing Techniques and Applications, CCD and CMOS Imaging Sensors and Industrial Vision Systems and Defect Detection.
- World rank
- #3,281,636 of 7,710,434 ranked researchers
- Rank in United States
- #928,455 of 1,627,098
- Works
- 39
- Citations
- 164
- Citations per work
- 4.2
What does Porter Jenkins research?
Porter Jenkins's work is mostly in Computer Science (39%), Engineering (17%), Decision Sciences (6%).
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 Sciences2256.0%
- Computer Science1538.6%
- Engineering717.4%
- Everything else1537.6%
- Social Sciences26.4%
- Decision Sciences26.4%
- 1Artificial Intelligence24% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Media Technology7% of their works
- 4Management Science and Operations Research6% of their works
- 5Electrical and Electronic Engineering6% of their works
- 6Industrial and Manufacturing Engineering5% of their works
Research topics
- Image Processing Techniques and Applications
- CCD and CMOS Imaging Sensors
- Industrial Vision Systems and Defect Detection
- Advanced Bandit Algorithms Research
- Adversarial Robustness in Machine Learning
- Machine Learning and Algorithms
- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
Which keywords describe Porter Jenkins's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Vision, Machine Learning, Autofocusing, Depth Estimation, Bandit Optimization and Bayesian Optimization.
- Visual Question Answering
- Robustness
- Image Captioning
- Adversarial Examples
- Texture Analysis
- Fabric Defect Detection
- Bayesian Optimization
- Depth Estimation
- Machine Learning
- Neural Networks
- Deep Learning
- Machine Vision
- Autofocusing
- Bandit Optimization
- CMOS Image Sensors
- High-Speed Imaging
- Active Learning
- Generative Adversarial Networks
- Image Synthesis
- Semi-Supervised Learning
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 20 words, with their numbers
- Deep Learning215 topics
- Neural Networks194 topics
- Machine Vision122 topics
- Machine Learning82 topics
- Autofocusing71 topic
- Depth Estimation71 topic
- Bandit Optimization51 topic
- Bayesian Optimization51 topic
- CMOS Image Sensors51 topic
- Fabric Defect Detection51 topic
- High-Speed Imaging51 topic
- Texture Analysis51 topic
- Active Learning41 topic
- Adversarial Examples41 topic
- Generative Adversarial Networks41 topic
- Image Captioning41 topic
- Image Synthesis41 topic
- Robustness41 topic
- Semi-Supervised Learning41 topic
- Visual Question Answering41 topic
Where does Porter Jenkins work?
Porter Jenkins's main affiliation in the publication record is Brigham Young University, United States.
How many publications and citations does Porter Jenkins have?
OpenAlex counts 39 works and 164 citations for Porter Jenkins, an h-index of 6, ranking #3,281,636 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.
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