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Researcher · Gates Foundation · United States

Victor Akinwande

Victor Akinwande publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, on topics such as Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications and Global Maternal and Child Health.

OpenAlex
World rank
#5,576,692
of 7,710,434 ranked researchers
Rank in United States
#1,398,228
of 1,627,098
Works
28
Citations
132
Citations per work
4.7
h-index
6
i10-index 6Top 74% in Artificial Intelligence
Victor Akinwande

What does Victor Akinwande research?

Victor Akinwande's work is mostly in Computer Science (41%), Mathematics (11%), Medicine (6%).

Physical Sciences: 14 works · 51.5% of their workComputer Science: 11 works · 40.9% of their workArtificial Intelligence: 9 works · 33.3% of their workComputer Vision and Pattern Recognition: 2 works · 7.6% of their workMathematics: 3 works · 10.6% of their workStatistics and Probability: 2 works · 6.1% of their workModeling and Simulation: 1 works · 4.5% of their workEverything else: 11 works · 37.9% of their workHealth Sciences: 2 works · 6.1% of their workMedicine: 2 works · 6.1% of their workPediatrics, Perinatology and Child Health: 2 works · 6.1% of their workLife Sciences: 1 works · 4.5% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.5% of their workBiophysics: 1 works · 4.5% of their workTHEIR WORKVictor Akinwande28works
Life Sciences4%Physical Sciences52%Health Sciences6%

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. Computer Science1140.9%
    2. Mathematics310.6%
  2. Everything else1137.9%
    1. Medicine26.1%
    1. Biochemistry, Genetics and Molecular Biology14.5%
  1. 1Artificial Intelligence33% of their works
  2. 2Computer Vision and Pattern Recognition8% of their works
  3. 3Statistics and Probability6% of their works
  4. 4Pediatrics, Perinatology and Child Health6% of their works
  5. 5Modeling and Simulation4% of their works
  6. 6Biophysics4% of their works

Research topics

Which keywords describe Victor Akinwande's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Adversarial Examples, Robustness, Anomaly Detection, Child Mortality and Maternal Mortality.

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 Learning123 topics
  2. Neural Networks123 topics
  3. Machine Learning82 topics
  4. Adversarial Examples51 topic
  5. Robustness51 topic
  6. Anomaly Detection41 topic
  7. Child Mortality41 topic
  8. Maternal Mortality41 topic
  9. Unsupervised41 topic
  10. Bioimage Analysis31 topic
  11. COVID-1931 topic
  12. High-Content Screening31 topic
  13. Machine Translation31 topic
  14. Modeling31 topic
  15. Mortality Forecasting31 topic
  16. Population Ageing31 topic
  17. Word Representation31 topic
  18. Neural Machine Translation21 topic
  19. Statistical Machine Translation21 topic

Where does Victor Akinwande work?

Victor Akinwande's main affiliation in the publication record is Gates Foundation, United States.

How many publications and citations does Victor Akinwande have?

OpenAlex counts 28 works and 132 citations for Victor Akinwande, an h-index of 6, ranking #5,576,692 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.

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