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Researcher · New York University · United States

Rob Fergus

Rob Fergus publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning and Reinforcement Learning in Robotics.

OpenAlex
World rank
#12,794
of 7,710,434 ranked researchers
Rank in United States
#4,454
of 1,627,098
Works
171
Citations
91k
Citations per work
533.0
h-index
75
i10-index 118Top 0.3% in Computer Vision and Pattern Recognition
Rob Fergus

What does Rob Fergus research?

Rob Fergus's work is mostly in Computer Science (75%), Engineering (5%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 140 works · 81.7% of their workComputer Science: 128 works · 74.8% of their workComputer Vision and Pattern Recognition: 73 works · 42.9% of their workArtificial Intelligence: 55 works · 31.9% of their workEngineering: 9 works · 5.1% of their workMedia Technology: 6 works · 3.3% of their workAerospace Engineering: 3 works · 1.8% of their workPhysics and Astronomy: 3 works · 1.8% of their workAstronomy and Astrophysics: 3 works · 1.8% of their workEverything else: 28 works · 16.1% of their workLife Sciences: 4 works · 2.2% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 2.2% of their workMolecular Biology: 4 works · 2.2% of their workTHEIR WORKRob Fergus171works
Life Sciences2%Physical Sciences82%

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 Science12874.8%
    2. Engineering95.1%
    3. Physics and Astronomy31.8%
  2. Everything else2816.1%
    1. Biochemistry, Genetics and Molecular Biology42.2%
  1. 1Computer Vision and Pattern Recognition43% of their works
  2. 2Artificial Intelligence32% of their works
  3. 3Media Technology3% of their works
  4. 4Molecular Biology2% of their works
  5. 5Astronomy and Astrophysics2% of their works
  6. 6Aerospace Engineering2% of their works

Research topics

Which keywords describe Rob Fergus's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Neural Networks, Representation Learning, Feature Matching, Local Descriptors, Domain Adaptation and Transfer Learning.

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 20 words, with their numbers
  1. Deep Learning1235 topics
  2. Unsupervised Learning693 topics
  3. Neural Networks673 topics
  4. Representation Learning492 topics
  5. Feature Matching381 topic
  6. Local Descriptors381 topic
  7. Domain Adaptation311 topic
  8. Transfer Learning311 topic
  9. Reinforcement Learning281 topic
  10. Robotics281 topic
  11. Content-Based Image Retrieval211 topic
  12. Image Captioning211 topic
  13. Shape Matching211 topic
  14. Visual Question Answering211 topic
  15. Depth Estimation201 topic
  16. Stereo Vision201 topic
  17. Convolutional Neural Networks181 topic
  18. Generative Adversarial Networks181 topic
  19. Image Recognition181 topic
  20. Image Synthesis181 topic

Where does Rob Fergus work?

Rob Fergus's main affiliation in the publication record is New York University, United States.

How many publications and citations does Rob Fergus have?

OpenAlex counts 171 works and 91,143 citations for Rob Fergus, an h-index of 75, ranking #12,794 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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