Science Explorer Back to mapMap
Discussion
Researcher · Stony Brook University · United States

Ryan Burgert

Ryan Burgert publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Experimental and Cognitive Psychology, on topics such as Generative Adversarial Networks and Image Synthesis, Advanced Vision and Imaging and Advanced Image Processing Techniques.

ORCID 0009-0008-5947-2076 OpenAlex
World rank
#2,353,694
of 7,710,434 ranked researchers
Rank in United States
#700,026
of 1,627,098
Works
19
Citations
99
Citations per work
5.2
h-index
5
i10-index 5Top 87% in Computer Vision and Pattern Recognition
Ryan Burgert

What does Ryan Burgert research?

Ryan Burgert's work is mostly in Computer Science (81%), Engineering (6%), Psychology (6%).

Physical Sciences: 17 works · 87.6% of their workComputer Science: 15 works · 81.3% of their workComputer Vision and Pattern Recognition: 13 works · 68.8% of their workComputer Graphics and Computer-Aided Design: 2 works · 8.3% of their workArtificial Intelligence: 1 works · 4.2% of their workEngineering: 1 works · 6.3% of their workBiomedical Engineering: 1 works · 6.3% of their workSocial Sciences: 1 works · 6.3% of their workPsychology: 1 works · 6.3% of their workExperimental and Cognitive Psychology: 1 works · 6.3% of their workLife Sciences: 1 works · 4.2% of their workNeuroscience: 1 works · 4.2% of their workCognitive Neuroscience: 1 works · 4.2% of their workTHEIR WORKRyan Burgert19works
Life Sciences4%Physical Sciences88%Social Sciences6%

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
    1. Computer Science1581.3%
    2. Engineering16.3%
    1. Psychology16.3%
    1. Neuroscience14.2%
  1. 1Computer Vision and Pattern Recognition69% of their works
  2. 2Computer Graphics and Computer-Aided Design8% of their works
  3. 3Experimental and Cognitive Psychology6% of their works
  4. 4Biomedical Engineering6% of their works
  5. 5Cognitive Neuroscience4% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Ryan Burgert's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Generative Adversarial Networks, Unsupervised Learning, Convolutional Networks, Image Inpainting, Image Synthesis and Depth Estimation.

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
  1. Deep Learning235 topics
  2. Neural Networks193 topics
  3. Generative Adversarial Networks162 topics
  4. Unsupervised Learning162 topics
  5. Convolutional Networks142 topics
  6. Image Inpainting91 topic
  7. Image Synthesis91 topic
  8. Depth Estimation71 topic
  9. Image71 topic
  10. Stereo Vision71 topic
  11. Super-Resolution71 topic
  12. Computer Graphics41 topic
  13. Visualization41 topic
  14. Image Captioning31 topic
  15. Visual Question Answering31 topic
  16. Emotion Recognition21 topic
  17. Image Denoising21 topic
  18. Multimodal Data21 topic
  19. Sparse Representations21 topic
  20. Functional Connectivity11 topic
  21. Resting-State fMRI11 topic

Where does Ryan Burgert work?

Ryan Burgert's main affiliation in the publication record is Stony Brook University, United States.

How many publications and citations does Ryan Burgert have?

OpenAlex counts 19 works and 99 citations for Ryan Burgert, an h-index of 5, ranking #2,353,694 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 Ryan Burgert. Posts are plain text and can be reported.