Thomas A. Funkhouser
Thomas A. Funkhouser publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design, on topics such as 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques and Advanced Vision and Imaging.
- World rank
- #3,645 of 7,710,434 ranked researchers
- Rank in United States
- #1,262 of 1,627,098
- Works
- 241
- Citations
- 40k
- Citations per work
- 165.0
What does Thomas A. Funkhouser research?
Thomas A. Funkhouser's work is mostly in Computer Science (55%), Engineering (19%), Earth and Planetary 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 Sciences19179.3%
- Computer Science13254.9%
- Engineering4518.7%
- Earth and Planetary Sciences145.7%
- Everything else5020.7%
- 1Computer Vision and Pattern Recognition38% of their works
- 2Computational Mechanics15% of their works
- 3Computer Graphics and Computer-Aided Design14% of their works
- 4Geology6% of their works
- 5Aerospace Engineering4% of their works
- 6Artificial Intelligence3% of their works
Research topics
- 3D Shape Modeling and Analysis
- Computer Graphics and Visualization Techniques
- Advanced Vision and Imaging
- Image Processing and 3D Reconstruction
- 3D Surveying and Cultural Heritage
- Robotics and Sensor-Based Localization
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
Which keywords describe Thomas A. Funkhouser's research?
The keywords of their largest research topics: 3D Reconstruction, Point Clouds, Deep Learning, Mesh Segmentation, Shape Representation, Computer Graphics, Visualization and Cultural Heritage.
- Shape Matching
- Feature Matching
- SLAM
- UAV
- Reconstruction
- Stereo Vision
- Cultural Heritage
- Computer Graphics
- Mesh Segmentation
- Point Clouds
- 3D Reconstruction
- Deep Learning
- Shape Representation
- Visualization
- Depth Estimation
- Fragmented Objects
- Photogrammetry
- 3D Mapping
- Content-Based Image Retrieval
- Local Descriptors
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 20 words, with their numbers
- 3D Reconstruction1392 topics
- Point Clouds1392 topics
- Deep Learning1202 topics
- Mesh Segmentation991 topic
- Shape Representation991 topic
- Computer Graphics881 topic
- Visualization881 topic
- Cultural Heritage822 topics
- Depth Estimation671 topic
- Stereo Vision671 topic
- Fragmented Objects421 topic
- Reconstruction421 topic
- Photogrammetry401 topic
- UAV401 topic
- 3D Mapping251 topic
- SLAM251 topic
- Content-Based Image Retrieval211 topic
- Feature Matching211 topic
- Local Descriptors211 topic
- Shape Matching211 topic
Where does Thomas A. Funkhouser work?
Thomas A. Funkhouser's main affiliation in the publication record is Princeton University, United States.
How many publications and citations does Thomas A. Funkhouser have?
OpenAlex counts 241 works and 39,769 citations for Thomas A. Funkhouser, an h-index of 78, ranking #3,645 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.
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