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Researcher · Universitat Politècnica de Catalunya · Spain

Jordi Pont-Tuset

Jordi Pont-Tuset publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Image and Video Retrieval Techniques, Multimodal Machine Learning Applications and Advanced Neural Network Applications.

OpenAlex
World rank
#502,429
of 7,710,434 ranked researchers
Rank in Spain
#9,084
of 204,306
Works
56
Citations
8.7k
Citations per work
154.9
h-index
21
i10-index 27Top 12% in Computer Vision and Pattern Recognition
Jordi Pont-Tuset

What does Jordi Pont-Tuset research?

Jordi Pont-Tuset's work is mostly in Computer Science (85%), Medicine (4%), Engineering (3%).

Physical Sciences: 49 works · 87.6% of their workComputer Science: 48 works · 85.0% of their workComputer Vision and Pattern Recognition: 39 works · 68.8% of their workArtificial Intelligence: 9 works · 16.2% of their workEngineering: 1 works · 2.6% of their workAerospace Engineering: 1 works · 1.3% of their workControl and Systems Engineering: 1 works · 1.3% of their workEverything else: 4 works · 7.2% of their workHealth Sciences: 2 works · 3.9% of their workMedicine: 2 works · 3.9% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 3.9% of their workSocial Sciences: 1 works · 1.3% of their workDecision Sciences: 1 works · 1.3% of their workManagement Science and Operations Research: 1 works · 1.3% of their workTHEIR WORKJordi Pont-Tuset56works
Physical Sciences88%Health Sciences4%Social Sciences1%

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 Science4885.0%
    2. Engineering12.6%
  2. Everything else47.2%
    1. Medicine23.9%
    1. Decision Sciences11.3%
  1. 1Computer Vision and Pattern Recognition69% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Radiology, Nuclear Medicine and Imaging4% of their works
  4. 4Management Science and Operations Research1% of their works
  5. 5Aerospace Engineering1% of their works
  6. 6Control and Systems Engineering1% of their works

Research topics

Which keywords describe Jordi Pont-Tuset's research?

The keywords of their largest research topics: Deep Learning, Feature Matching, Local Descriptors, Image Captioning, Visual Question Answering, Convolutional Neural Networks, Image Recognition and Content-Based Retrieval.

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 17 words, with their numbers
  1. Deep Learning765 topics
  2. Feature Matching251 topic
  3. Local Descriptors251 topic
  4. Image Captioning201 topic
  5. Visual Question Answering201 topic
  6. Convolutional Neural Networks161 topic
  7. Image Recognition161 topic
  8. Content-Based Retrieval111 topic
  9. Video Summarization111 topic
  10. Action Recognition81 topic
  11. Pose Estimation81 topic
  12. Image Segmentation71 topic
  13. Medical Image Analysis71 topic
  14. Content-Based Image Retrieval61 topic
  15. Shape Matching61 topic
  16. Domain Adaptation51 topic
  17. Transfer Learning51 topic

Where does Jordi Pont-Tuset work?

Jordi Pont-Tuset's main affiliation in the publication record is Universitat Politècnica de Catalunya, Spain.

How many publications and citations does Jordi Pont-Tuset have?

OpenAlex counts 56 works and 8,673 citations for Jordi Pont-Tuset, an h-index of 21, ranking #502,429 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 Jordi Pont-Tuset

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