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Researcher · Federico Santa María Technical University · Chile

Fernando Auat Cheein

Fernando Auat Cheein publishes mostly in Plant Science, Control and Systems Engineering and Computer Vision and Pattern Recognition, on topics such as Smart Agriculture and AI, Robotics and Sensor-Based Localization and Robotic Path Planning Algorithms.

ORCID 0000-0002-6347-7696 OpenAlex
World rank
#235,208
of 7,710,434 ranked researchers
Rank in Chile
#243
of 20,642
Works
250
Citations
5k
Citations per work
20.1
h-index
34
i10-index 111Top 4.9% in Plant Science
Fernando Auat Cheein

What does Fernando Auat Cheein research?

Fernando Auat Cheein's work is mostly in Engineering (21%), Agricultural and Biological Sciences (14%), Computer Science (8%).

Everything else: 132 works · 52.9% of their workPhysical Sciences: 84 works · 33.5% of their workEngineering: 52 works · 20.9% of their workControl and Systems Engineering: 20 works · 7.9% of their workAerospace Engineering: 17 works · 6.7% of their workMechanical Engineering: 16 works · 6.3% of their workComputer Science: 19 works · 7.6% of their workComputer Vision and Pattern Recognition: 19 works · 7.6% of their workEnvironmental Science: 12 works · 5.0% of their workEnvironmental Engineering: 12 works · 5.0% of their workLife Sciences: 34 works · 13.6% of their workAgricultural and Biological Sciences: 34 works · 13.6% of their workPlant Science: 34 works · 13.6% of their workTHEIR WORKFernando AuatCheein250works
Life Sciences14%Physical Sciences34%

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. Everything else13252.9%
    1. Engineering5220.9%
    2. Computer Science197.6%
    3. Environmental Science125.0%
    1. Agricultural and Biological Sciences3413.6%
  1. 1Plant Science14% of their works
  2. 2Control and Systems Engineering8% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Aerospace Engineering7% of their works
  5. 5Mechanical Engineering6% of their works
  6. 6Environmental Engineering5% of their works

Research topics

Which keywords describe Fernando Auat Cheein's research?

The keywords of their largest research topics: Machine Learning, Path Planning, Deep Learning, Plant Disease Detection, Biomass Estimation, 3D Mapping, SLAM and Optimal Motion Planning.

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 19 words, with their numbers
  1. Machine Learning942 topics
  2. Path Planning682 topics
  3. Deep Learning661 topic
  4. Plant Disease Detection661 topic
  5. Biomass Estimation592 topics
  6. 3D Mapping441 topic
  7. SLAM441 topic
  8. Optimal Motion Planning401 topic
  9. Sampling-Based Algorithms401 topic
  10. Forest Carbon Stocks311 topic
  11. Lidar Remote Sensing311 topic
  12. Adaptive Control281 topic
  13. Multivariate Calibration281 topic
  14. Near-Infrared Spectroscopy281 topic
  15. Remote Sensing281 topic
  16. Trajectory Tracking281 topic
  17. Vegetation Monitoring281 topic
  18. Soil Mechanics181 topic
  19. Terrain Interaction181 topic

Where does Fernando Auat Cheein work?

Fernando Auat Cheein's main affiliation in the publication record is Federico Santa María Technical University, Chile.

How many publications and citations does Fernando Auat Cheein have?

OpenAlex counts 250 works and 5,020 citations for Fernando Auat Cheein, an h-index of 34, ranking #235,208 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.

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