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Researcher · Max Planck Institute for Intelligent Systems · Germany

Michael J. Black

Michael J. Black publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering, on topics such as Human Pose and Action Recognition, 3D Shape Modeling and Analysis and Advanced Vision and Imaging.

ORCID 0000-0001-6077-4540 OpenAlex
World rank
#3,902
of 7,710,434 ranked researchers
Rank in Germany
#144
of 364,343
Works
521
Citations
55k
Citations per work
106.1
h-index
102
i10-index 307Top 0.1% in Computer Vision and Pattern Recognition
Michael J. Black

What does Michael J. Black research?

Michael J. Black's work is mostly in Computer Science (46%), Engineering (21%), Neuroscience (5%).

Physical Sciences: 345 works · 66.2% of their workComputer Science: 237 works · 45.5% of their workComputer Vision and Pattern Recognition: 221 works · 42.4% of their workHuman-Computer Interaction: 16 works · 3.1% of their workEngineering: 108 works · 20.7% of their workComputational Mechanics: 55 works · 10.6% of their workControl and Systems Engineering: 34 works · 6.6% of their workBiomedical Engineering: 18 works · 3.5% of their workEverything else: 151 works · 28.9% of their workLife Sciences: 26 works · 4.9% of their workNeuroscience: 26 works · 4.9% of their workCognitive Neuroscience: 26 works · 4.9% of their workTHEIR WORKMichael J. Black521works
Life Sciences5%Physical Sciences66%

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 Science23745.5%
    2. Engineering10820.7%
  2. Everything else15128.9%
    1. Neuroscience264.9%
  1. 1Computer Vision and Pattern Recognition42% of their works
  2. 2Computational Mechanics11% of their works
  3. 3Control and Systems Engineering7% of their works
  4. 4Cognitive Neuroscience5% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Human-Computer Interaction3% of their works

Research topics

Which keywords describe Michael J. Black's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Pose Estimation, Action Recognition, Spatiotemporal Features, Unsupervised Learning, 3D Reconstruction and Point Clouds.

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 Learning6076 topics
  2. Convolutional Networks3532 topics
  3. Pose Estimation2672 topics
  4. Action Recognition2291 topic
  5. Spatiotemporal Features2291 topic
  6. Unsupervised Learning1682 topics
  7. 3D Reconstruction1461 topic
  8. Point Clouds1461 topic
  9. Depth Estimation1241 topic
  10. Stereo Vision1241 topic
  11. Convolutional Neural Networks1042 topics
  12. Character Animation841 topic
  13. Motion Synthesis841 topic
  14. Object Tracking661 topic
  15. Visual Tracking661 topic
  16. Computer Graphics451 topic
  17. Visualization451 topic
  18. Generative Adversarial Networks441 topic
  19. Image Synthesis441 topic
  20. Face Recognition381 topic
  21. Facial Landmark Detection381 topic

Where does Michael J. Black work?

Michael J. Black's main affiliation in the publication record is Max Planck Institute for Intelligent Systems, Germany.

How many publications and citations does Michael J. Black have?

OpenAlex counts 521 works and 55,278 citations for Michael J. Black, an h-index of 102, ranking #3,902 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.

Other researchers named Michael J. Black

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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