James Alex Hurt
James Alex Hurt publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Ocean Engineering, on topics such as Remote-Sensing Image Classification, Advanced Neural Network Applications and Advanced Image and Video Retrieval Techniques.
- World rank
- #5,184,838 of 7,710,434 ranked researchers
- Rank in United States
- #1,331,937 of 1,627,098
- Works
- 32
- Citations
- 198
- Citations per work
- 6.2
What does James Alex Hurt research?
James Alex Hurt's work is mostly in Computer Science (42%), Engineering (39%), Environmental Science (3%).
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 Sciences2784.4%
- Computer Science1341.6%
- Engineering1339.4%
- Environmental Science13.4%
- Everything else515.6%
- 1Computer Vision and Pattern Recognition37% of their works
- 2Media Technology22% of their works
- 3Ocean Engineering9% of their works
- 4Aerospace Engineering8% of their works
- 5Artificial Intelligence4% of their works
- 6Environmental Engineering3% of their works
Research topics
- Remote-Sensing Image Classification
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Automated Road and Building Extraction
- Video Surveillance and Tracking Methods
- Infrared Target Detection Methodologies
- Advanced Image Fusion Techniques
- Remote Sensing and LiDAR Applications
Which keywords describe James Alex Hurt's research?
The keywords of their largest research topics: Deep Learning, Remote Sensing, Convolutional Neural Networks, Hyperspectral, Classification, Image Analysis, Image Recognition and Object Detection.
- Lidar Remote Sensing
- Forest Carbon Stocks
- Infrared
- Object Tracking
- High-Resolution Imagery
- Local Descriptors
- Object Detection
- Image Analysis
- Hyperspectral
- Remote Sensing
- Deep Learning
- Convolutional Neural Networks
- Classification
- Image Recognition
- Feature Matching
- Sparse Representation
- Road Extraction
- Visual Tracking
- Small Target
- Image Fusion
- Multispectral
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 Learning555 topics
- Remote Sensing273 topics
- Convolutional Neural Networks202 topics
- Hyperspectral202 topics
- Classification171 topic
- Image Analysis171 topic
- Image Recognition141 topic
- Object Detection141 topic
- Feature Matching111 topic
- Local Descriptors111 topic
- Sparse Representation82 topics
- High-Resolution Imagery71 topic
- Road Extraction71 topic
- Object Tracking61 topic
- Visual Tracking61 topic
- Infrared51 topic
- Small Target51 topic
- Forest Carbon Stocks31 topic
- Image Fusion31 topic
- Lidar Remote Sensing31 topic
- Multispectral31 topic
Where does James Alex Hurt work?
James Alex Hurt's main affiliation in the publication record is University of Missouri, United States.
How many publications and citations does James Alex Hurt have?
OpenAlex counts 32 works and 198 citations for James Alex Hurt, an h-index of 6, ranking #5,184,838 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.
Discussion
Ask a question or share a note about James Alex Hurt. Posts are plain text and can be reported.