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Researcher · Blekinge Institute of Technology · Sweden

Victor Rigworo Kebande

Victor Rigworo Kebande publishes mostly in Information Systems, Signal Processing and Artificial Intelligence, on topics such as Digital and Cyber Forensics, Advanced Malware Detection Techniques and Digital Media Forensic Detection.

ORCID 0000-0003-4071-4596 OpenAlex
World rank
#132,016
of 7,710,434 ranked researchers
Rank in Sweden
#1,314
of 71,437
Works
103
Citations
2.2k
Citations per work
21.5
h-index
27
i10-index 53Top 2% in Information Systems
Victor Rigworo Kebande

What does Victor Rigworo Kebande research?

Victor Rigworo Kebande's work is mostly in Computer Science (85%), Decision Sciences (2%).

Physical Sciences: 88 works · 85.1% of their workComputer Science: 88 works · 85.1% of their workInformation Systems: 35 works · 34.1% of their workSignal Processing: 18 works · 17.2% of their workArtificial Intelligence: 14 works · 13.8% of their workComputer Vision and Pattern Recognition: 11 works · 11.0% of their workComputer Networks and Communications: 9 works · 9.0% of their workEverything else: 13 works · 12.8% of their workSocial Sciences: 2 works · 2.1% of their workDecision Sciences: 2 works · 2.1% of their workManagement Science and Operations Research: 2 works · 2.1% of their workTHEIR WORKVictor RigworoKebande103works
Physical Sciences85%Social Sciences2%

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 Science8885.1%
  2. Everything else1312.8%
    1. Decision Sciences22.1%
  1. 1Information Systems34% of their works
  2. 2Signal Processing17% of their works
  3. 3Artificial Intelligence14% of their works
  4. 4Computer Vision and Pattern Recognition11% of their works
  5. 5Computer Networks and Communications9% of their works
  6. 6Management Science and Operations Research2% of their works

Research topics

Which keywords describe Victor Rigworo Kebande's research?

The keywords of their largest research topics: Deep Learning, Internet of Things, Digital Forensics, IoT Security, Security, Machine Learning, Security Analysis and Cloud Computing.

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 25 words, with their numbers
  1. Deep Learning854 topics
  2. Internet of Things753 topics
  3. Digital Forensics732 topics
  4. IoT Security673 topics
  5. Security662 topics
  6. Machine Learning653 topics
  7. Security Analysis562 topics
  8. Cloud Computing551 topic
  9. Forensic Investigation551 topic
  10. Android Malware491 topic
  11. Detection491 topic
  12. Healthcare202 topics
  13. Copy-Move Forgery181 topic
  14. Image Forgery Detection181 topic
  15. Data Mining162 topics
  16. Blockchain111 topic
  17. Smart Contracts111 topic
  18. Edge Computing91 topic
  19. Fog Computing91 topic
  20. Intrusion Detection91 topic
  21. Network Security91 topic
  22. Block Ciphers71 topic
  23. Cryptanalysis71 topic
  24. Differential Privacy71 topic
  25. Federated Learning71 topic

Where does Victor Rigworo Kebande work?

Victor Rigworo Kebande's main affiliation in the publication record is Blekinge Institute of Technology, Sweden.

How many publications and citations does Victor Rigworo Kebande have?

OpenAlex counts 103 works and 2,210 citations for Victor Rigworo Kebande, an h-index of 27, ranking #132,016 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.

Discussion

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