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Researcher · Universidade Estadual de Campinas (UNICAMP) · Brazil

Gabriel Gomes de Oliveira

Gabriel Gomes de Oliveira publishes mostly in Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Smart Cities and Technologies, IoT and Edge/Fog Computing and Blockchain Technology Applications and Security.

ORCID 0000-0001-7164-2068 OpenAlex
World rank
#2,172,769
of 7,710,434 ranked researchers
Rank in Brazil
#20,506
of 253,246
Works
128
Citations
954
Citations per work
7.5
h-index
17
i10-index 33Top 24% in Electrical and Electronic Engineering
Gabriel Gomes de Oliveira

What does Gabriel Gomes de Oliveira research?

Gabriel Gomes de Oliveira's work is mostly in Computer Science (20%), Engineering (16%).

Everything else: 82 works · 64.0% of their workPhysical Sciences: 46 works · 36.0% of their workComputer Science: 25 works · 19.8% of their workComputer Vision and Pattern Recognition: 8 works · 6.5% of their workArtificial Intelligence: 7 works · 5.3% of their workInformation Systems: 6 works · 4.3% of their workComputer Networks and Communications: 5 works · 3.7% of their workEngineering: 21 works · 16.2% of their workElectrical and Electronic Engineering: 15 works · 11.5% of their workMedia Technology: 6 works · 4.7% of their workTHEIR WORKGabriel Gomes deOliveira128works
Physical Sciences36%

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 else8264.0%
    1. Computer Science2519.8%
    2. Engineering2116.2%
  1. 1Electrical and Electronic Engineering12% of their works
  2. 2Computer Vision and Pattern Recognition6% of their works
  3. 3Artificial Intelligence5% of their works
  4. 4Media Technology5% of their works
  5. 5Information Systems4% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Gabriel Gomes de Oliveira's research?

The keywords of their largest research topics: Deep Learning, Internet of Things, Smart Cities, Healthcare, Big Data, Convolutional Neural Networks, Urban Innovation and Renewable Energy.

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 22 words, with their numbers
  1. Deep Learning264 topics
  2. Internet of Things263 topics
  3. Smart Cities192 topics
  4. Healthcare152 topics
  5. Big Data111 topic
  6. Convolutional Neural Networks112 topics
  7. Urban Innovation111 topic
  8. Renewable Energy102 topics
  9. Edge Computing81 topic
  10. Fog Computing81 topic
  11. Blockchain71 topic
  12. Short-Term Forecasting71 topic
  13. Smart Contracts71 topic
  14. Traffic Flow71 topic
  15. Histopathology Images61 topic
  16. Medical Image Analysis61 topic
  17. Demand Response51 topic
  18. Distributed Generation51 topic
  19. Image Recognition51 topic
  20. Object Detection51 topic
  21. Optimal Power Flow51 topic
  22. Smart Grid51 topic

Where does Gabriel Gomes de Oliveira work?

Gabriel Gomes de Oliveira's main affiliation in the publication record is Universidade Estadual de Campinas (UNICAMP), Brazil.

How many publications and citations does Gabriel Gomes de Oliveira have?

OpenAlex counts 128 works and 954 citations for Gabriel Gomes de Oliveira, an h-index of 17, ranking #2,172,769 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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