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Researcher · Namibia University of Science and Technology · Namibia

Attlee Munyaradzi Gamundani

Attlee Munyaradzi Gamundani publishes mostly in Information Systems, Computer Networks and Communications and Signal Processing, on topics such as Network Security and Intrusion Detection, Advanced Malware Detection Techniques and Internet Traffic Analysis and Secure E-voting.

ORCID 0000-0003-1195-366X OpenAlex
World rank
#3,266,069
of 7,710,434 ranked researchers
Rank in Namibia
#144
of 381
Works
65
Citations
368
Citations per work
5.7
h-index
8
i10-index 6Top 30% in Information Systems
Attlee Munyaradzi Gamundani

What does Attlee Munyaradzi Gamundani research?

Attlee Munyaradzi Gamundani's work is mostly in Computer Science (47%), Social Sciences (5%), Earth and Planetary Sciences (5%).

Physical Sciences: 33 works · 51.4% of their workComputer Science: 30 works · 46.8% of their workInformation Systems: 15 works · 22.5% of their workComputer Networks and Communications: 9 works · 13.3% of their workSignal Processing: 4 works · 5.8% of their workArtificial Intelligence: 3 works · 5.2% of their workEarth and Planetary Sciences: 3 works · 4.6% of their workOceanography: 3 works · 4.6% of their workEverything else: 28 works · 43.4% of their workSocial Sciences: 3 works · 5.2% of their workSocial Sciences: 3 works · 5.2% of their workSociology and Political Science: 3 works · 5.2% of their workTHEIR WORKAttlee MunyaradziGamundani65works
Physical Sciences51%Social Sciences5%

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 Science3046.8%
    2. Earth and Planetary Sciences34.6%
  2. Everything else2843.4%
    1. Social Sciences35.2%
  1. 1Information Systems22% of their works
  2. 2Computer Networks and Communications13% of their works
  3. 3Signal Processing6% of their works
  4. 4Artificial Intelligence5% of their works
  5. 5Sociology and Political Science5% of their works
  6. 6Oceanography5% of their works

Research topics

Which keywords describe Attlee Munyaradzi Gamundani's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, IoT Security, Cybersecurity, Intrusion Detection, Network Security, Android Malware and 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 20 words, with their numbers
  1. Machine Learning334 topics
  2. Deep Learning324 topics
  3. IoT Security263 topics
  4. Cybersecurity172 topics
  5. Intrusion Detection111 topic
  6. Network Security111 topic
  7. Android Malware101 topic
  8. Detection101 topic
  9. Authentication61 topic
  10. Classification61 topic
  11. Forecasting61 topic
  12. Hydrology61 topic
  13. Information Security61 topic
  14. Internet Traffic61 topic
  15. Ocean Waves61 topic
  16. Policy Compliance61 topic
  17. Security61 topic
  18. Wind Stress61 topic
  19. Edge Computing51 topic
  20. Internet of Things51 topic

Where does Attlee Munyaradzi Gamundani work?

Attlee Munyaradzi Gamundani's main affiliation in the publication record is Namibia University of Science and Technology, Namibia.

How many publications and citations does Attlee Munyaradzi Gamundani have?

OpenAlex counts 65 works and 368 citations for Attlee Munyaradzi Gamundani, an h-index of 8, ranking #3,266,069 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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