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Researcher · University of Kinshasa · Democratic Republic of the Congo

Pierre Kafunda Katalay

Pierre Kafunda Katalay publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Artificial Intelligence in Healthcare, Intelligent Tutoring Systems and Adaptive Learning and Imbalanced Data Classification Techniques.

OpenAlex
World rank
#5,746,325
of 7,710,434 ranked researchers
Rank in Democratic Republic of the Congo
#523
of 752
Works
19
Citations
5
Citations per work
0.3
h-index
1
i10-index 0Top 99% in Artificial Intelligence
Pierre Kafunda Katalay

What does Pierre Kafunda Katalay research?

Pierre Kafunda Katalay's work is mostly in Computer Science (36%), Health Professions (6%), Social Sciences (6%).

Everything else: 9 works · 48.0% of their workPhysical Sciences: 7 works · 36.0% of their workComputer Science: 7 works · 36.0% of their workArtificial Intelligence: 3 works · 16.0% of their workInformation Systems: 3 works · 14.0% of their workComputer Networks and Communications: 1 works · 6.0% of their workHealth Sciences: 2 works · 10.0% of their workHealth Professions: 1 works · 6.0% of their workHealth Information Management: 1 works · 6.0% of their workMedicine: 1 works · 4.0% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.0% of their workSocial Sciences: 1 works · 6.0% of their workSocial Sciences: 1 works · 6.0% of their workSociology and Political Science: 1 works · 6.0% of their workTHEIR WORKPierre KafundaKatalay19works
Physical Sciences36%Health Sciences10%Social 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. Everything else948.0%
    1. Computer Science736.0%
    1. Health Professions16.0%
    2. Medicine14.0%
    1. Social Sciences16.0%
  1. 1Artificial Intelligence16% of their works
  2. 2Information Systems14% of their works
  3. 3Computer Networks and Communications6% of their works
  4. 4Health Information Management6% of their works
  5. 5Sociology and Political Science6% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Pierre Kafunda Katalay's research?

The keywords of their largest research topics: Data Mining, Machine Learning, Intelligent Tutoring Systems, Big Data Analytics, Healthcare, Affective States, Association Rules and Classification.

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. Data Mining73 topics
  2. Machine Learning63 topics
  3. Intelligent Tutoring Systems42 topics
  4. Big Data Analytics31 topic
  5. Healthcare31 topic
  6. Affective States21 topic
  7. Association Rules21 topic
  8. Classification21 topic
  9. Cognitive-Affective Interaction21 topic
  10. Educational Assessment21 topic
  11. Frequent Patterns21 topic
  12. Fuzzy Logic21 topic
  13. IEEE 145121 topic
  14. Imbalanced Data21 topic
  15. Manufacturing21 topic
  16. Scheduling21 topic
  17. Smart Sensors21 topic
  18. Deep Learning11 topic
  19. Plant Disease Detection11 topic

Where does Pierre Kafunda Katalay work?

Pierre Kafunda Katalay's main affiliation in the publication record is University of Kinshasa, Democratic Republic of the Congo.

How many publications and citations does Pierre Kafunda Katalay have?

OpenAlex counts 19 works and 5 citations for Pierre Kafunda Katalay, an h-index of 1, ranking #5,746,325 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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