David Forsyth
David Forsyth publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Organic Chemistry, on topics such as Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging and Image Retrieval and Classification Techniques.
- World rank
- #11,288 of 1,633,909 ranked researchers
- Rank in United States
- #5,429 of 358,040
- Works
- 126
- Citations
- 1.8k
- Citations per work
- 13.9
What does David Forsyth research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition36% of their works
- 2Artificial Intelligence7% of their works
- 3Organic Chemistry5% of their works
- 4Computer Graphics and Computer-Aided Design4% of their works
- 5Spectroscopy3% of their works
- 6Aerospace Engineering3% of their works
Research topics
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Robotics and Sensor-Based Localization
- Computer Graphics and Visualization Techniques
- Generative Adversarial Networks and Image Synthesis
- Chemical Reaction Mechanisms
Which keywords describe David Forsyth's research?
The keywords of their largest research topics: Deep Learning, Convolutional Networks, Unsupervised Learning, Feature Matching, Local Descriptors, Depth Estimation, Stereo Vision and 3D Mapping.
- Acidity Scales
- Image Synthesis
- Computer Graphics
- SLAM
- Content-Based Image Retrieval
- 3D Mapping
- Depth Estimation
- Feature Matching
- Convolutional Networks
- Deep Learning
- Unsupervised Learning
- Local Descriptors
- Stereo Vision
- Action Recognition
- Pose Estimation
- Shape Matching
- Generative Adversarial Networks
- Visualization
- Nucleophilicity
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 19 words, with their numbers
- Deep Learning253 topics
- Convolutional Networks162 topics
- Unsupervised Learning152 topics
- Feature Matching141 topic
- Local Descriptors141 topic
- Depth Estimation101 topic
- Stereo Vision101 topic
- 3D Mapping61 topic
- Action Recognition61 topic
- Content-Based Image Retrieval61 topic
- Pose Estimation61 topic
- SLAM61 topic
- Shape Matching61 topic
- Computer Graphics51 topic
- Generative Adversarial Networks51 topic
- Image Synthesis51 topic
- Visualization51 topic
- Acidity Scales41 topic
- Nucleophilicity41 topic
Where does David Forsyth work?
David Forsyth's main affiliation in the publication record is University of Illinois Urbana-Champaign, United States.
How many publications and citations does David Forsyth have?
Science Explorer counts 126 works and 1,750 citations for David Forsyth, ranking #11,288 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.