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Researcher · Centro Universitário FEI · Brazil

Rodrigo Filev Maia

Rodrigo Filev Maia publishes mostly in Computer Networks and Communications, Plant Science and Electrical and Electronic Engineering, on topics such as Smart Agriculture and AI, Irrigation Practices and Water Management and IoT and Edge/Fog Computing.

ORCID 0000-0003-4870-3429 OpenAlex
World rank
#2,024,707
of 7,710,434 ranked researchers
Rank in Brazil
#18,324
of 253,246
Works
75
Citations
1.5k
Citations per work
19.8
h-index
15
i10-index 19Top 23% in Computer Networks and Communications
Rodrigo Filev Maia

What does Rodrigo Filev Maia research?

Rodrigo Filev Maia's work is mostly in Computer Science (18%), Engineering (14%), Agricultural and Biological Sciences (12%).

Everything else: 37 works · 49.7% of their workPhysical Sciences: 29 works · 38.6% of their workComputer Science: 13 works · 17.8% of their workComputer Networks and Communications: 10 works · 13.2% of their workInformation Systems: 3 works · 4.6% of their workEngineering: 11 works · 14.2% of their workElectrical and Electronic Engineering: 6 works · 7.6% of their workIndustrial and Manufacturing Engineering: 5 works · 6.6% of their workEnvironmental Science: 5 works · 6.6% of their workWater Science and Technology: 5 works · 6.6% of their workLife Sciences: 9 works · 11.7% of their workAgricultural and Biological Sciences: 9 works · 11.7% of their workPlant Science: 9 works · 11.7% of their workTHEIR WORKRodrigo FilevMaia75works
Life Sciences12%Physical Sciences39%

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 else3749.7%
    1. Computer Science1317.8%
    2. Engineering1114.2%
    3. Environmental Science56.6%
    1. Agricultural and Biological Sciences911.7%
  1. 1Computer Networks and Communications13% of their works
  2. 2Plant Science12% of their works
  3. 3Electrical and Electronic Engineering8% of their works
  4. 4Water Science and Technology7% of their works
  5. 5Industrial and Manufacturing Engineering7% of their works
  6. 6Information Systems5% of their works

Research topics

Which keywords describe Rodrigo Filev Maia's research?

The keywords of their largest research topics: Deep Learning, Environmental Monitoring, Plant Disease Detection, Smart Farming, Internet of Things, Aquaculture, Deficit Irrigation and Edge Computing.

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.

All 19 words, with their numbers
  1. Deep Learning232 topics
  2. Environmental Monitoring232 topics
  3. Plant Disease Detection161 topic
  4. Smart Farming161 topic
  5. Internet of Things122 topics
  6. Aquaculture71 topic
  7. Deficit Irrigation71 topic
  8. Edge Computing71 topic
  9. Fog Computing71 topic
  10. Water Quality Monitoring71 topic
  11. Water Use Efficiency71 topic
  12. Digital Twin51 topic
  13. Engineering Education51 topic
  14. Hard Real-Time Systems51 topic
  15. Mobile Agents51 topic
  16. Network Management51 topic
  17. Remote Laboratories51 topic
  18. Scheduling Algorithms51 topic
  19. Smart Manufacturing51 topic

Where does Rodrigo Filev Maia work?

Rodrigo Filev Maia's main affiliation in the publication record is Centro Universitário FEI, Brazil.

How many publications and citations does Rodrigo Filev Maia have?

OpenAlex counts 75 works and 1,488 citations for Rodrigo Filev Maia, an h-index of 15, ranking #2,024,707 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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