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Researcher · Manukau Institute of Technology · New Zealand

Fadi Thabtah

Fadi Thabtah publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Data Mining Algorithms and Applications, Text and Document Classification Technologies and Spam and Phishing Detection.

ORCID 0000-0002-2664-4694 OpenAlex
World rank
#110,582
of 7,710,434 ranked researchers
Rank in New Zealand
#344
of 21,128
Works
158
Citations
7.9k
Citations per work
50.3
h-index
39
i10-index 91Top 2.3% in Artificial Intelligence
Fadi Thabtah

What does Fadi Thabtah research?

Fadi Thabtah's work is mostly in Computer Science (57%), Neuroscience (4%), Medicine (4%).

Physical Sciences: 90 works · 57.1% of their workComputer Science: 90 works · 57.1% of their workArtificial Intelligence: 43 works · 27.5% of their workInformation Systems: 27 works · 17.4% of their workComputer Networks and Communications: 11 works · 7.0% of their workComputational Theory and Mathematics: 8 works · 5.2% of their workEverything else: 54 works · 33.9% of their workLife Sciences: 7 works · 4.5% of their workNeuroscience: 7 works · 4.5% of their workCognitive Neuroscience: 7 works · 4.5% of their workHealth Sciences: 7 works · 4.5% of their workMedicine: 7 works · 4.5% of their workPsychiatry and Mental health: 7 works · 4.5% of their workTHEIR WORKFadi Thabtah158works
Life Sciences4%Physical Sciences57%Health 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 Science9057.1%
  2. Everything else5433.9%
    1. Neuroscience74.5%
    1. Medicine74.5%
  1. 1Artificial Intelligence28% of their works
  2. 2Information Systems17% of their works
  3. 3Computer Networks and Communications7% of their works
  4. 4Computational Theory and Mathematics5% of their works
  5. 5Cognitive Neuroscience4% of their works
  6. 6Psychiatry and Mental health4% of their works

Research topics

Which keywords describe Fadi Thabtah's research?

The keywords of their largest research topics: Machine Learning, Feature Selection, Data Mining, Frequent Patterns, Multi-label Learning, Text Classification, Phishing and Spam 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 18 words, with their numbers
  1. Machine Learning642 topics
  2. Feature Selection512 topics
  3. Data Mining391 topic
  4. Frequent Patterns391 topic
  5. Multi-label Learning301 topic
  6. Text Classification301 topic
  7. Phishing251 topic
  8. Spam Detection251 topic
  9. Granular Computing211 topic
  10. Rough Sets211 topic
  11. Classification201 topic
  12. Imbalanced Data201 topic
  13. Alzheimer's Disease181 topic
  14. Mild Cognitive Impairment181 topic
  15. Autism Spectrum Disorders171 topic
  16. Genetics171 topic
  17. Deep Learning131 topic
  18. Healthcare131 topic

Where does Fadi Thabtah work?

Fadi Thabtah's main affiliation in the publication record is Manukau Institute of Technology, New Zealand.

How many publications and citations does Fadi Thabtah have?

OpenAlex counts 158 works and 7,941 citations for Fadi Thabtah, an h-index of 39, ranking #110,582 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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