Science Explorer Back to mapMap
Discussion
Researcher · Landmark University · Nigeria

Akande Noah Oluwatobi

Akande Noah Oluwatobi publishes mostly in Artificial Intelligence, Information Systems and Signal Processing, on topics such as Advanced Malware Detection Techniques, Spam and Phishing Detection and Biometric Identification and Security.

ORCID 0000-0002-4940-5709 OpenAlex
World rank
#1,201,770
of 7,710,434 ranked researchers
Rank in Nigeria
#1,183
of 26,141
Works
59
Citations
705
Citations per work
11.9
h-index
14
i10-index 17Top 25% in Artificial Intelligence
Akande Noah Oluwatobi

What does Akande Noah Oluwatobi research?

Akande Noah Oluwatobi's work is mostly in Computer Science (58%), Medicine (5%).

Physical Sciences: 34 works · 57.6% of their workComputer Science: 34 works · 57.6% of their workArtificial Intelligence: 9 works · 15.3% of their workInformation Systems: 9 works · 15.3% of their workSignal Processing: 8 works · 12.9% of their workComputer Vision and Pattern Recognition: 5 works · 8.2% of their workComputer Networks and Communications: 3 works · 5.9% of their workEverything else: 22 works · 37.7% of their workHealth Sciences: 3 works · 4.7% of their workMedicine: 3 works · 4.7% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 4.7% of their workTHEIR WORKAkande NoahOluwatobi59works
Physical Sciences58%Health 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 Science3457.6%
  2. Everything else2237.7%
    1. Medicine34.7%
  1. 1Artificial Intelligence15% of their works
  2. 2Information Systems15% of their works
  3. 3Signal Processing13% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Radiology, Nuclear Medicine and Imaging5% of their works

Research topics

Which keywords describe Akande Noah Oluwatobi's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Behavioral Analysis, IoT Security, Detection, Android Malware, Security Analysis and Biometric Recognition.

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. Machine Learning185 topics
  2. Deep Learning175 topics
  3. Behavioral Analysis112 topics
  4. IoT Security102 topics
  5. Detection92 topics
  6. Android Malware71 topic
  7. Security Analysis71 topic
  8. Biometric Recognition41 topic
  9. Phishing41 topic
  10. Security41 topic
  11. Social Media42 topics
  12. Spam Detection41 topic
  13. Diabetic Retinopathy31 topic
  14. Intrusion Detection31 topic
  15. Network Security31 topic
  16. Retinal Disease31 topic
  17. Ancient DNA21 topic
  18. Cyberbullying21 topic
  19. Genomic Analysis21 topic
  20. Hate Speech21 topic
  21. Opinion Mining21 topic
  22. Sentiment Analysis21 topic

Where does Akande Noah Oluwatobi work?

Akande Noah Oluwatobi's main affiliation in the publication record is Landmark University, Nigeria.

How many publications and citations does Akande Noah Oluwatobi have?

OpenAlex counts 59 works and 705 citations for Akande Noah Oluwatobi, an h-index of 14, ranking #1,201,770 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

Ask a question or share a note about Akande Noah Oluwatobi. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.