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Researcher · Middlebury College · United States

Daniel Scharstein

Daniel Scharstein publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology, on topics such as Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques and Advanced Image Processing Techniques.

OpenAlex
World rank
#68,344
of 7,710,434 ranked researchers
Rank in United States
#26,381
of 1,627,098
Works
57
Citations
22k
Citations per work
387.7
h-index
30
i10-index 40Top 5.1% in Computer Vision and Pattern Recognition
Daniel Scharstein

What does Daniel Scharstein research?

Daniel Scharstein's work is mostly in Computer Science (75%), Engineering (15%).

Physical Sciences: 51 works · 89.6% of their workComputer Science: 43 works · 74.9% of their workComputer Vision and Pattern Recognition: 38 works · 66.9% of their workComputer Graphics and Computer-Aided Design: 3 works · 4.9% of their workArtificial Intelligence: 2 works · 3.1% of their workEngineering: 8 works · 14.7% of their workAerospace Engineering: 5 works · 8.0% of their workMedia Technology: 3 works · 4.9% of their workComputational Mechanics: 1 works · 1.8% of their workEverything else: 6 works · 10.4% of their workTHEIR WORKDaniel Scharstein57works
Physical Sciences90%

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 Science4374.9%
    2. Engineering814.7%
  2. Everything else610.4%
  1. 1Computer Vision and Pattern Recognition67% of their works
  2. 2Aerospace Engineering8% of their works
  3. 3Media Technology5% of their works
  4. 4Computer Graphics and Computer-Aided Design5% of their works
  5. 5Artificial Intelligence3% of their works
  6. 6Computational Mechanics2% of their works

Research topics

Which keywords describe Daniel Scharstein's research?

The keywords of their largest research topics: Convolutional Networks, Deep Learning, Depth Estimation, Optical Flow, Stereo Vision, Neural Networks, Image Processing and Feature Matching.

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 21 words, with their numbers
  1. Convolutional Networks562 topics
  2. Deep Learning483 topics
  3. Depth Estimation462 topics
  4. Optical Flow391 topic
  5. Stereo Vision391 topic
  6. Neural Networks242 topics
  7. Image Processing212 topics
  8. Feature Matching171 topic
  9. Image171 topic
  10. Local Descriptors171 topic
  11. Super-Resolution171 topic
  12. Contrast Enhancement141 topic
  13. Dehazing141 topic
  14. 3D Mapping131 topic
  15. SLAM131 topic
  16. Autofocusing71 topic
  17. Microscopy71 topic
  18. Computer Graphics51 topic
  19. Visualization51 topic
  20. Camera Calibration41 topic
  21. Structured Light41 topic

Where does Daniel Scharstein work?

Daniel Scharstein's main affiliation in the publication record is Middlebury College, United States.

How many publications and citations does Daniel Scharstein have?

OpenAlex counts 57 works and 22,100 citations for Daniel Scharstein, an h-index of 30, ranking #68,344 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.

Discussion

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