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Researcher · Universidad Autónoma de Ciudad Juárez · Mexico

Roberto Contreras-Masse

Roberto Contreras-Masse publishes mostly in Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering, on topics such as IoT and Edge/Fog Computing, Transportation Planning and Optimization and Smart Agriculture and AI.

ORCID 0000-0001-9030-2456 OpenAlex
World rank
#2,782,542
of 7,710,434 ranked researchers
Rank in Mexico
#8,189
of 55,557
Works
25
Citations
83
Citations per work
3.3
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Roberto Contreras-Masse

What does Roberto Contreras-Masse research?

Roberto Contreras-Masse's work is mostly in Computer Science (18%), Engineering (10%), Agricultural and Biological Sciences (5%).

Everything else: 15 works · 61.7% of their workPhysical Sciences: 7 works · 28.3% of their workComputer Science: 5 works · 18.3% of their workComputer Vision and Pattern Recognition: 2 works · 10.0% of their workComputer Networks and Communications: 2 works · 8.3% of their workEngineering: 2 works · 10.0% of their workElectrical and Electronic Engineering: 1 works · 5.0% of their workOcean Engineering: 1 works · 5.0% of their workLife Sciences: 1 works · 5.0% of their workAgricultural and Biological Sciences: 1 works · 5.0% of their workPlant Science: 1 works · 5.0% of their workHealth Sciences: 1 works · 5.0% of their workMedicine: 1 works · 5.0% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 5.0% of their workTHEIR WORKRobertoContreras-Masse25works
Life Sciences5%Physical Sciences28%Health Sciences5%

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 else1561.7%
    1. Computer Science518.3%
    2. Engineering210.0%
    1. Agricultural and Biological Sciences15.0%
    1. Medicine15.0%
  1. 1Computer Vision and Pattern Recognition10% of their works
  2. 2Computer Networks and Communications8% of their works
  3. 3Electrical and Electronic Engineering5% of their works
  4. 4Ocean Engineering5% of their works
  5. 5Radiology, Nuclear Medicine and Imaging5% of their works
  6. 6Plant Science5% of their works

Research topics

Which keywords describe Roberto Contreras-Masse's research?

The keywords of their largest research topics: Deep Learning, Internet of Things, Convolutional Neural Networks, Edge Computing, Fog Computing, Public Transport, Travel Behavior and COVID-19.

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 Learning104 topics
  2. Internet of Things62 topics
  3. Convolutional Neural Networks42 topics
  4. Edge Computing41 topic
  5. Fog Computing41 topic
  6. Public Transport31 topic
  7. Travel Behavior31 topic
  8. COVID-1921 topic
  9. Digital Twin21 topic
  10. Driver Behavior21 topic
  11. Evacuation21 topic
  12. Medical Imaging21 topic
  13. Object Tracking21 topic
  14. Pedestrian Dynamics21 topic
  15. Plant Disease Detection21 topic
  16. Smart Farming21 topic
  17. Smart Manufacturing21 topic
  18. Traffic Accidents21 topic
  19. Visual Tracking21 topic

Where does Roberto Contreras-Masse work?

Roberto Contreras-Masse's main affiliation in the publication record is Universidad Autónoma de Ciudad Juárez, Mexico.

How many publications and citations does Roberto Contreras-Masse have?

OpenAlex counts 25 works and 83 citations for Roberto Contreras-Masse, an h-index of 5, ranking #2,782,542 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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