Science Explorer Back to mapMap
Discussion
Researcher · University of Nairobi · Kenya

Stephen Nganga Mburu

Stephen Nganga Mburu publishes mostly in Information Systems, Information Systems and Management and Computer Networks and Communications, on topics such as Technology Adoption and User Behaviour, Mobile Health and mHealth Applications and ICT in Developing Communities.

ORCID 0000-0002-7500-9312 OpenAlex
World rank
#5,326,122
of 7,710,434 ranked researchers
Rank in Kenya
#5,059
of 7,520
Works
24
Citations
66
Citations per work
2.8
h-index
3
i10-index 2Top 83% in Information Systems
Stephen Nganga Mburu

What does Stephen Nganga Mburu research?

Stephen Nganga Mburu's work is mostly in Computer Science (50%), Decision Sciences (19%), Health Professions (10%).

Physical Sciences: 12 works · 50.0% of their workComputer Science: 12 works · 50.0% of their workInformation Systems: 6 works · 26.9% of their workComputer Networks and Communications: 3 works · 13.5% of their workArtificial Intelligence: 2 works · 9.6% of their workEverything else: 5 works · 21.1% of their workSocial Sciences: 5 works · 19.3% of their workDecision Sciences: 5 works · 19.3% of their workInformation Systems and Management: 3 works · 13.5% of their workManagement Science and Operations Research: 1 works · 5.8% of their workHealth Sciences: 2 works · 9.6% of their workHealth Professions: 2 works · 9.6% of their workGeneral Health Professions: 2 works · 9.6% of their workTHEIR WORKStephen NgangaMburu24works
Physical Sciences50%Health Sciences10%Social Sciences19%

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 Science1250.0%
  2. Everything else521.1%
    1. Decision Sciences519.3%
    1. Health Professions29.6%
  1. 1Information Systems27% of their works
  2. 2Information Systems and Management14% of their works
  3. 3Computer Networks and Communications14% of their works
  4. 4General Health Professions10% of their works
  5. 5Artificial Intelligence10% of their works
  6. 6Management Science and Operations Research6% of their works

Research topics

Which keywords describe Stephen Nganga Mburu's research?

The keywords of their largest research topics: Information Systems, Technology Acceptance Model, mHealth, Mobile Health, Machine Learning, Mobile Technology, Rural Communities and Collaborative Filtering.

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 18 words, with their numbers
  1. Information Systems61 topic
  2. Technology Acceptance Model61 topic
  3. Mobile Health51 topic
  4. mHealth51 topic
  5. Machine Learning43 topics
  6. Mobile Technology41 topic
  7. Rural Communities41 topic
  8. Collaborative Filtering31 topic
  9. Customer Satisfaction32 topics
  10. Matrix Factorization31 topic
  11. Big Data21 topic
  12. Data Analysis21 topic
  13. Peer-to-Peer21 topic
  14. Scalable21 topic
  15. Differential Privacy11 topic
  16. Federated Learning11 topic
  17. Healthcare11 topic
  18. Smart Cities11 topic

Where does Stephen Nganga Mburu work?

Stephen Nganga Mburu's main affiliation in the publication record is University of Nairobi, Kenya.

How many publications and citations does Stephen Nganga Mburu have?

OpenAlex counts 24 works and 66 citations for Stephen Nganga Mburu, an h-index of 3, ranking #5,326,122 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.

Discussion

Ask a question or share a note about Stephen Nganga Mburu. Posts are plain text and can be reported.