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Researcher · Princeton University · United States

Adam Finkelstein

Adam Finkelstein publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics, on topics such as Computer Graphics and Visualization Techniques, Advanced Vision and Imaging and 3D Shape Modeling and Analysis.

ORCID 0000-0001-9422-5363 OpenAlex
World rank
#33,466
of 7,710,434 ranked researchers
Rank in United States
#12,727
of 1,627,098
Works
206
Citations
15k
Citations per work
70.4
h-index
56
i10-index 119Top 0.8% in Computer Vision and Pattern Recognition
Adam Finkelstein

What does Adam Finkelstein research?

Adam Finkelstein's work is mostly in Computer Science (53%), Engineering (10%), Social Sciences (4%).

Physical Sciences: 130 works · 63.0% of their workComputer Science: 110 works · 53.4% of their workComputer Vision and Pattern Recognition: 56 works · 27.0% of their workComputer Graphics and Computer-Aided Design: 29 works · 14.2% of their workSignal Processing: 17 works · 8.3% of their workArtificial Intelligence: 8 works · 3.9% of their workEngineering: 20 works · 9.6% of their workComputational Mechanics: 20 works · 9.6% of their workEverything else: 68 works · 32.9% of their workSocial Sciences: 8 works · 4.1% of their workSocial Sciences: 8 works · 4.1% of their workEducation: 8 works · 4.1% of their workTHEIR WORKAdam Finkelstein206works
Physical Sciences63%Social Sciences4%

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 Science11053.4%
    2. Engineering209.6%
  2. Everything else6832.9%
    1. Social Sciences84.1%
  1. 1Computer Vision and Pattern Recognition27% of their works
  2. 2Computer Graphics and Computer-Aided Design14% of their works
  3. 3Computational Mechanics10% of their works
  4. 4Signal Processing8% of their works
  5. 5Education4% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Adam Finkelstein's research?

The keywords of their largest research topics: Deep Learning, Computer Graphics, Visualization, Depth Estimation, Stereo Vision, 3D Reconstruction, Point Clouds and Convolutional Neural Networks.

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 18 words, with their numbers
  1. Deep Learning1285 topics
  2. Computer Graphics751 topic
  3. Visualization751 topic
  4. Depth Estimation541 topic
  5. Stereo Vision541 topic
  6. 3D Reconstruction501 topic
  7. Point Clouds501 topic
  8. Convolutional Neural Networks392 topics
  9. Audio Signal Classification251 topic
  10. Music Information Retrieval251 topic
  11. Audio-Visual Speech Recognition211 topic
  12. Speech Enhancement211 topic
  13. Feature Matching171 topic
  14. Local Descriptors171 topic
  15. Character Animation151 topic
  16. Motion Synthesis151 topic
  17. Acoustic Modeling141 topic
  18. Deep Neural Networks141 topic

Where does Adam Finkelstein work?

Adam Finkelstein's main affiliation in the publication record is Princeton University, United States.

How many publications and citations does Adam Finkelstein have?

OpenAlex counts 206 works and 14,508 citations for Adam Finkelstein, an h-index of 56, ranking #33,466 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.

Other researchers named Adam Finkelstein

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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