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Researcher · Namibia University of Science and Technology · Namibia

Ambrose Agbon Azeta

Ambrose Agbon Azeta publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Anomaly Detection Techniques and Applications, Speech and dialogue systems and Network Security and Intrusion Detection.

ORCID 0000-0002-4826-5775 OpenAlex
World rank
#2,108,328
of 7,710,434 ranked researchers
Rank in Namibia
#77
of 381
Works
63
Citations
516
Citations per work
8.2
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Ambrose Agbon Azeta

What does Ambrose Agbon Azeta research?

Ambrose Agbon Azeta's work is mostly in Computer Science (53%), Social Sciences (4%), Agricultural and Biological Sciences (3%).

Physical Sciences: 33 works · 52.8% of their workComputer Science: 33 works · 52.8% of their workArtificial Intelligence: 14 works · 21.7% of their workInformation Systems: 13 works · 19.9% of their workComputer Networks and Communications: 4 works · 6.2% of their workSignal Processing: 3 works · 5.0% of their workEverything else: 25 works · 40.4% of their workSocial Sciences: 2 works · 3.7% of their workSocial Sciences: 2 works · 3.7% of their workEducation: 2 works · 3.7% of their workLife Sciences: 2 works · 3.1% of their workAgricultural and Biological Sciences: 2 works · 3.1% of their workPlant Science: 2 works · 3.1% of their workTHEIR WORKAmbrose AgbonAzeta63works
Life Sciences3%Physical Sciences53%Social Sciences4%

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 Science3352.8%
  2. Everything else2540.4%
    1. Social Sciences23.7%
    1. Agricultural and Biological Sciences23.1%
  1. 1Artificial Intelligence22% of their works
  2. 2Information Systems20% of their works
  3. 3Computer Networks and Communications6% of their works
  4. 4Signal Processing5% of their works
  5. 5Education4% of their works
  6. 6Plant Science3% of their works

Research topics

Which keywords describe Ambrose Agbon Azeta's research?

The keywords of their largest research topics: Deep Learning, Anomaly Detection, IoT Security, Machine Learning, Cybersecurity, Data Mining, Markov Decision Processes and Outlier Detection.

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 22 words, with their numbers
  1. Deep Learning163 topics
  2. Anomaly Detection112 topics
  3. IoT Security102 topics
  4. Machine Learning102 topics
  5. Cybersecurity92 topics
  6. Data Mining92 topics
  7. Markov Decision Processes61 topic
  8. Outlier Detection61 topic
  9. Spoken Dialogue Systems61 topic
  10. Unsupervised61 topic
  11. Android Malware51 topic
  12. Blended Learning51 topic
  13. Detection51 topic
  14. Intrusion Detection51 topic
  15. Network Security51 topic
  16. Online Learning51 topic
  17. Blockchain41 topic
  18. Educational Assessment41 topic
  19. Fuzzy Logic41 topic
  20. Information Security41 topic
  21. Internet of Things41 topic
  22. Policy Compliance41 topic

Where does Ambrose Agbon Azeta work?

Ambrose Agbon Azeta's main affiliation in the publication record is Namibia University of Science and Technology, Namibia.

How many publications and citations does Ambrose Agbon Azeta have?

OpenAlex counts 63 works and 516 citations for Ambrose Agbon Azeta, an h-index of 8, ranking #2,108,328 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.

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