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Researcher · University of Coimbra · Portugal

Cristiano Premebida

Cristiano Premebida publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Robotics and Sensor-Based Localization, Advanced Neural Network Applications and Autonomous Vehicle Technology and Safety.

ORCID 0000-0002-2168-2077 OpenAlex
World rank
#391,190
of 7,710,434 ranked researchers
Rank in Portugal
#1,194
of 41,760
Works
116
Citations
2.5k
Citations per work
21.3
h-index
25
i10-index 43Top 8.1% in Computer Vision and Pattern Recognition
Cristiano Premebida

What does Cristiano Premebida research?

Cristiano Premebida's work is mostly in Computer Science (36%), Engineering (24%), Environmental Science (7%).

Physical Sciences: 78 works · 67.2% of their workComputer Science: 42 works · 36.5% of their workComputer Vision and Pattern Recognition: 26 works · 22.5% of their workArtificial Intelligence: 16 works · 14.0% of their workEngineering: 28 works · 24.0% of their workAerospace Engineering: 13 works · 11.2% of their workAutomotive Engineering: 10 works · 8.5% of their workElectrical and Electronic Engineering: 5 works · 4.3% of their workEnvironmental Science: 8 works · 6.7% of their workEnvironmental Engineering: 8 works · 6.7% of their workEverything else: 38 works · 32.8% of their workTHEIR WORKCristianoPremebida116works
Physical Sciences67%

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 Science4236.5%
    2. Engineering2824.0%
    3. Environmental Science86.7%
  2. Everything else3832.8%
  1. 1Computer Vision and Pattern Recognition22% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Aerospace Engineering11% of their works
  4. 4Automotive Engineering8% of their works
  5. 5Environmental Engineering7% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Cristiano Premebida's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, 3D Mapping, SLAM, Autonomous Vehicles, Image Recognition and Object Detection.

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 Learning956 topics
  2. Convolutional Neural Networks432 topics
  3. Machine Learning342 topics
  4. 3D Mapping281 topic
  5. SLAM281 topic
  6. Autonomous Vehicles261 topic
  7. Image Recognition261 topic
  8. Object Detection261 topic
  9. Trajectory Prediction261 topic
  10. Forest Carbon Stocks201 topic
  11. Lidar Remote Sensing201 topic
  12. Neural Networks182 topics
  13. Object Tracking171 topic
  14. Visual Tracking171 topic
  15. Anomaly Detection111 topic
  16. Unsupervised111 topic
  17. Plant Disease Detection81 topic
  18. Smart Farming81 topic
  19. Backpropagation Learning71 topic
  20. Self-Organizing Maps71 topic

Where does Cristiano Premebida work?

Cristiano Premebida's main affiliation in the publication record is University of Coimbra, Portugal.

How many publications and citations does Cristiano Premebida have?

OpenAlex counts 116 works and 2,475 citations for Cristiano Premebida, an h-index of 25, ranking #391,190 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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