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Researcher · Mapúa University · Philippines

John Paul T. Cruz

John Paul T. Cruz publishes mostly in Computer Vision and Pattern Recognition, Automotive Engineering and Electrical and Electronic Engineering, on topics such as Advanced Chemical Sensor Technologies, Autonomous Vehicle Technology and Safety and Gas Sensing Nanomaterials and Sensors.

ORCID 0009-0007-1755-3786 OpenAlex
World rank
#6,670,757
of 7,710,434 ranked researchers
Rank in Philippines
#5,118
of 6,138
Works
22
Citations
21
Citations per work
1.0
h-index
1
i10-index 1Top 99.8% in Computer Vision and Pattern Recognition
John Paul T. Cruz

What does John Paul T. Cruz research?

John Paul T. Cruz's work is mostly in Engineering (24%), Computer Science (21%), Agricultural and Biological Sciences (8%).

Everything else: 10 works · 46.9% of their workPhysical Sciences: 10 works · 45.5% of their workEngineering: 5 works · 24.3% of their workAutomotive Engineering: 2 works · 9.1% of their workBiomedical Engineering: 2 works · 7.6% of their workElectrical and Electronic Engineering: 2 works · 7.6% of their workComputer Science: 5 works · 21.2% of their workComputer Vision and Pattern Recognition: 4 works · 16.7% of their workSignal Processing: 1 works · 4.5% of their workLife Sciences: 2 works · 7.6% of their workAgricultural and Biological Sciences: 2 works · 7.6% of their workPlant Science: 2 works · 7.6% of their workTHEIR WORKJohn Paul T. Cruz22works
Life Sciences8%Physical Sciences46%

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 else1046.9%
    1. Engineering524.3%
    2. Computer Science521.2%
    1. Agricultural and Biological Sciences27.6%
  1. 1Computer Vision and Pattern Recognition17% of their works
  2. 2Automotive Engineering9% of their works
  3. 3Electrical and Electronic Engineering8% of their works
  4. 4Plant Science8% of their works
  5. 5Biomedical Engineering8% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe John Paul T. Cruz's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Breath Analysis, Convolutional Neural Networks, Electronic Nose, Autonomous Vehicles, Gas Sensors and Metal Oxide.

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. Deep Learning124 topics
  2. Machine Learning72 topics
  3. Breath Analysis51 topic
  4. Convolutional Neural Networks52 topics
  5. Electronic Nose51 topic
  6. Autonomous Vehicles41 topic
  7. Gas Sensors41 topic
  8. Metal Oxide41 topic
  9. Trajectory Prediction41 topic
  10. Face Recognition31 topic
  11. Facial Landmark Detection31 topic
  12. Plant Disease Detection31 topic
  13. Smart Farming31 topic
  14. Coconut21 topic
  15. Image Recognition21 topic
  16. Multivariate Calibration21 topic
  17. Near-Infrared Spectroscopy21 topic
  18. Object Detection21 topic
  19. Virgin Coconut Oil21 topic

Where does John Paul T. Cruz work?

John Paul T. Cruz's main affiliation in the publication record is Mapúa University, Philippines.

How many publications and citations does John Paul T. Cruz have?

OpenAlex counts 22 works and 21 citations for John Paul T. Cruz, an h-index of 1, ranking #6,670,757 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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