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Researcher · Akwa Ibom State University · Nigeria

Anietie Ekong

Anietie Ekong publishes mostly in Artificial Intelligence, Genetics and Hematology, on topics such as Hemoglobinopathies and Related Disorders, Artificial Intelligence in Healthcare and Machine Learning in Healthcare.

OpenAlex
World rank
#6,155,503
of 7,710,434 ranked researchers
Rank in Nigeria
#16,905
of 26,141
Works
16
Citations
55
Citations per work
3.4
h-index
3
i10-index 2Top 95% in Artificial Intelligence
Anietie Ekong

What does Anietie Ekong research?

Anietie Ekong's work is mostly in Medicine (30%), Computer Science (14%), Health Professions (8%).

Health Sciences: 7 works · 44.4% of their workMedicine: 5 works · 30.5% of their workGenetics: 2 works · 11.1% of their workHematology: 2 works · 11.1% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 8.3% of their workHealth Professions: 1 works · 8.3% of their workHealth Information Management: 1 works · 8.3% of their workDentistry: 1 works · 5.6% of their workPeriodontics: 1 works · 5.6% of their workEverything else: 7 works · 41.7% of their workPhysical Sciences: 2 works · 13.9% of their workComputer Science: 2 works · 13.9% of their workArtificial Intelligence: 2 works · 13.9% of their workTHEIR WORKAnietie Ekong16works
Physical Sciences14%Health Sciences44%

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. Medicine530.5%
    2. Health Professions18.3%
    3. Dentistry15.6%
  2. Everything else741.7%
    1. Computer Science213.9%
  1. 1Artificial Intelligence14% of their works
  2. 2Genetics11% of their works
  3. 3Hematology11% of their works
  4. 4Radiology, Nuclear Medicine and Imaging8% of their works
  5. 5Health Information Management8% of their works
  6. 6Periodontics6% of their works

Research topics

Which keywords describe Anietie Ekong's research?

The keywords of their largest research topics: Healthcare, Anemia, Deep Learning, Sickle-cell Disease, Thalassemia, Big Data Analytics, Machine Learning and Alloimmunization.

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. Healthcare52 topics
  2. Anemia42 topics
  3. Deep Learning42 topics
  4. Sickle-cell Disease41 topic
  5. Thalassemia41 topic
  6. Big Data Analytics31 topic
  7. Machine Learning31 topic
  8. Alloimmunization21 topic
  9. Blood Groups21 topic
  10. COVID-1921 topic
  11. Dental21 topic
  12. Electronic Health Records21 topic
  13. Hepcidin21 topic
  14. Iron Regulation21 topic
  15. Medical Imaging21 topic
  16. Predictive Modeling21 topic
  17. Treatment21 topic
  18. Amino Acids11 topic
  19. Gut Microbiota11 topic

Where does Anietie Ekong work?

Anietie Ekong's main affiliation in the publication record is Akwa Ibom State University, Nigeria.

How many publications and citations does Anietie Ekong have?

OpenAlex counts 16 works and 55 citations for Anietie Ekong, an h-index of 3, ranking #6,155,503 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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