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Researcher · The University of Texas at Austin · United States

Kristen Grauman

Kristen Grauman publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Advanced Image and Video Retrieval Techniques, Multimodal Machine Learning Applications and Human Pose and Action Recognition.

ORCID 0000-0002-9591-5873 OpenAlex
World rank
#4,931
of 7,710,434 ranked researchers
Rank in United States
#1,684
of 1,627,098
Works
394
Citations
29k
Citations per work
74.4
h-index
84
i10-index 227Top 0.2% in Computer Vision and Pattern Recognition
Kristen Grauman

What does Kristen Grauman research?

Kristen Grauman's work is mostly in Computer Science (82%), Engineering (4%), Neuroscience (3%).

Physical Sciences: 338 works · 85.8% of their workComputer Science: 324 works · 82.2% of their workComputer Vision and Pattern Recognition: 241 works · 61.2% of their workArtificial Intelligence: 50 works · 12.7% of their workSignal Processing: 33 works · 8.3% of their workEngineering: 14 works · 3.6% of their workAerospace Engineering: 9 works · 2.4% of their workControl and Systems Engineering: 5 works · 1.2% of their workEverything else: 45 works · 11.4% of their workLife Sciences: 11 works · 2.8% of their workNeuroscience: 11 works · 2.8% of their workCognitive Neuroscience: 11 works · 2.8% of their workTHEIR WORKKristen Grauman394works
Life Sciences3%Physical Sciences86%

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 Science32482.2%
    2. Engineering143.6%
  2. Everything else4511.4%
    1. Neuroscience112.8%
  1. 1Computer Vision and Pattern Recognition61% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Signal Processing8% of their works
  4. 4Cognitive Neuroscience3% of their works
  5. 5Aerospace Engineering2% of their works
  6. 6Control and Systems Engineering1% of their works

Research topics

Which keywords describe Kristen Grauman's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Feature Matching, Local Descriptors, Unsupervised Learning, Image Captioning, Visual Question Answering and Action Recognition.

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 19 words, with their numbers
  1. Deep Learning3734 topics
  2. Convolutional Networks1472 topics
  3. Feature Matching1261 topic
  4. Local Descriptors1261 topic
  5. Unsupervised Learning1242 topics
  6. Image Captioning1111 topic
  7. Visual Question Answering1111 topic
  8. Action Recognition911 topic
  9. Pose Estimation911 topic
  10. Domain Adaptation681 topic
  11. Transfer Learning681 topic
  12. Depth Estimation561 topic
  13. Stereo Vision561 topic
  14. Content-Based Image Retrieval521 topic
  15. Shape Matching521 topic
  16. Content-Based Retrieval491 topic
  17. Video Summarization491 topic
  18. Audio Signal Classification451 topic
  19. Music Information Retrieval451 topic

Where does Kristen Grauman work?

Kristen Grauman's main affiliation in the publication record is The University of Texas at Austin, United States.

How many publications and citations does Kristen Grauman have?

OpenAlex counts 394 works and 29,308 citations for Kristen Grauman, an h-index of 84, ranking #4,931 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.

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