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Researcher · Universidade Federal do Piauí · Brazil

Deborah M. V. Magalhães

Deborah M. V. Magalhães publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems, on topics such as AI in cancer detection, IoT and Edge/Fog Computing and Digital Imaging for Blood Diseases.

ORCID 0000-0002-5445-5073 OpenAlex
World rank
#1,803,855
of 7,710,434 ranked researchers
Rank in Brazil
#15,306
of 253,246
Works
24
Citations
360
Citations per work
15.0
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Deborah M. V. Magalhães

What does Deborah M. V. Magalhães research?

Deborah M. V. Magalhães's work is mostly in Computer Science (38%), Medicine (11%), Agricultural and Biological Sciences (6%).

Everything else: 11 works · 45.3% of their workPhysical Sciences: 9 works · 37.5% of their workComputer Science: 9 works · 37.5% of their workArtificial Intelligence: 4 works · 15.6% of their workComputer Vision and Pattern Recognition: 2 works · 7.8% of their workInformation Systems: 2 works · 7.8% of their workComputer Networks and Communications: 2 works · 6.3% of their workHealth Sciences: 3 works · 10.9% of their workMedicine: 3 works · 10.9% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 10.9% of their workLife Sciences: 2 works · 6.3% of their workAgricultural and Biological Sciences: 2 works · 6.3% of their workPlant Science: 2 works · 6.3% of their workTHEIR WORKDeborah M. V.Magalhães24works
Life Sciences6%Physical Sciences38%Health Sciences11%

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 else1145.3%
    1. Computer Science937.5%
    1. Medicine310.9%
    1. Agricultural and Biological Sciences26.3%
  1. 1Artificial Intelligence16% of their works
  2. 2Radiology, Nuclear Medicine and Imaging11% of their works
  3. 3Information Systems8% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Plant Science6% of their works
  6. 6Computer Networks and Communications6% of their works

Research topics

Which keywords describe Deborah M. V. Magalhães's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Medical Image Analysis, Feature Extraction, Medical Imaging, Computer-Aided Detection, Histopathology Images and Big Data.

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 21 words, with their numbers
  1. Convolutional Neural Networks113 topics
  2. Deep Learning113 topics
  3. Medical Image Analysis82 topics
  4. Feature Extraction62 topics
  5. Medical Imaging62 topics
  6. Computer-Aided Detection51 topic
  7. Histopathology Images51 topic
  8. Big Data31 topic
  9. COVID-1931 topic
  10. Chest X-Ray31 topic
  11. Cloud Computing31 topic
  12. Edge Computing31 topic
  13. Internet of Things31 topic
  14. Leukemia Classification31 topic
  15. Malaria Parasite Detection31 topic
  16. Quantitative Analysis31 topic
  17. Radiomics31 topic
  18. Ecosystem Services21 topic
  19. Honey Bees21 topic
  20. Neonicotinoids21 topic
  21. Pollinator Decline21 topic

Where does Deborah M. V. Magalhães work?

Deborah M. V. Magalhães's main affiliation in the publication record is Universidade Federal do Piauí, Brazil.

How many publications and citations does Deborah M. V. Magalhães have?

OpenAlex counts 24 works and 360 citations for Deborah M. V. Magalhães, an h-index of 8, ranking #1,803,855 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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