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Researcher · University of Eswatini · Eswatini

Stephen Gbenga Fashoto

Stephen Gbenga Fashoto publishes mostly in Artificial Intelligence, Information Systems and Economics and Econometrics, on topics such as COVID-19 diagnosis using AI, COVID-19 Digital Contact Tracing and Global Maternal and Child Health.

ORCID 0000-0002-2919-9434 OpenAlex
World rank
#751,754
of 7,710,434 ranked researchers
Rank in Eswatini
#4
of 118
Works
66
Citations
1.2k
Citations per work
18.2
h-index
20
i10-index 31Top 13% in Artificial Intelligence
Stephen Gbenga Fashoto

What does Stephen Gbenga Fashoto research?

Stephen Gbenga Fashoto's work is mostly in Computer Science (23%), Economics, Econometrics and Finance (7%), Medicine (5%).

Everything else: 40 works · 61.3% of their workPhysical Sciences: 15 works · 22.8% of their workComputer Science: 15 works · 22.8% of their workArtificial Intelligence: 6 works · 9.5% of their workInformation Systems: 6 works · 9.5% of their workComputer Science Applications: 3 works · 3.8% of their workSocial Sciences: 7 works · 10.8% of their workEconomics, Econometrics and Finance: 5 works · 7.0% of their workEconomics and Econometrics: 5 works · 7.0% of their workSocial Sciences: 3 works · 3.8% of their workEducation: 3 works · 3.8% of their workHealth Sciences: 3 works · 5.1% of their workMedicine: 3 works · 5.1% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 5.1% of their workTHEIR WORKStephen GbengaFashoto66works
Physical Sciences23%Health Sciences5%Social 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 else4061.3%
    1. Computer Science1522.8%
    1. Economics, Econometrics and Finance57.0%
    2. Social Sciences33.8%
    1. Medicine35.1%
  1. 1Artificial Intelligence10% of their works
  2. 2Information Systems10% of their works
  3. 3Economics and Econometrics7% of their works
  4. 4Radiology, Nuclear Medicine and Imaging5% of their works
  5. 5Computer Science Applications4% of their works
  6. 6Education4% of their works

Research topics

Which keywords describe Stephen Gbenga Fashoto's research?

The keywords of their largest research topics: COVID-19, Deep Learning, Convolutional Neural Networks, Medical Imaging, Contact Tracing Apps, Digital Technologies, Machine Learning and Child 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. 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. COVID-19193 topics
  2. Deep Learning112 topics
  3. Convolutional Neural Networks81 topic
  4. Medical Imaging81 topic
  5. Contact Tracing Apps71 topic
  6. Digital Technologies71 topic
  7. Machine Learning72 topics
  8. Child Mortality51 topic
  9. Maternal Mortality51 topic
  10. Anxiety41 topic
  11. Crowdfunding41 topic
  12. Educational Data Mining41 topic
  13. Fintech41 topic
  14. Learning Analytics41 topic
  15. Mental Health41 topic
  16. Innate Memory31 topic
  17. Plant Disease Detection31 topic
  18. Smart Farming31 topic
  19. Trained Immunity31 topic

Where does Stephen Gbenga Fashoto work?

Stephen Gbenga Fashoto's main affiliation in the publication record is University of Eswatini, Eswatini.

How many publications and citations does Stephen Gbenga Fashoto have?

OpenAlex counts 66 works and 1,202 citations for Stephen Gbenga Fashoto, an h-index of 20, ranking #751,754 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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