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Researcher · Zayed University · United Arab Emirates

Feras N. Al-Obeidat

Feras N. Al-Obeidat publishes mostly in Artificial Intelligence, Information Systems and Molecular Biology, on topics such as Topic Modeling, Advanced Graph Neural Networks and Complex Network Analysis Techniques.

ORCID 0000-0001-6941-6555 OpenAlex
World rank
#592,173
of 7,710,434 ranked researchers
Rank in United Arab Emirates
#721
of 6,273
Works
143
Citations
2.3k
Citations per work
16.0
h-index
26
i10-index 59Top 7.1% in Artificial Intelligence
Feras N. Al-Obeidat

What does Feras N. Al-Obeidat research?

Feras N. Al-Obeidat's work is mostly in Computer Science (48%), Biochemistry, Genetics and Molecular Biology (6%), Physics and Astronomy (5%).

Physical Sciences: 76 works · 53.1% of their workComputer Science: 69 works · 48.0% of their workArtificial Intelligence: 44 works · 30.8% of their workInformation Systems: 12 works · 8.3% of their workComputer Networks and Communications: 8 works · 5.6% of their workSignal Processing: 5 works · 3.3% of their workPhysics and Astronomy: 7 works · 5.1% of their workStatistical and Nonlinear Physics: 7 works · 5.1% of their workEverything else: 58 works · 40.8% of their workLife Sciences: 9 works · 6.1% of their workBiochemistry, Genetics and Molecular Biology: 9 works · 6.1% of their workMolecular Biology: 9 works · 6.1% of their workTHEIR WORKFeras N.Al-Obeidat143works
Life Sciences6%Physical Sciences53%

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 Science6948.0%
    2. Physics and Astronomy75.1%
  2. Everything else5840.8%
    1. Biochemistry, Genetics and Molecular Biology96.1%
  1. 1Artificial Intelligence31% of their works
  2. 2Information Systems8% of their works
  3. 3Molecular Biology6% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Statistical and Nonlinear Physics5% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Feras N. Al-Obeidat's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Neural Networks, Anomaly Detection, Machine Translation, Word Representation, Community Structure and Graph Neural Networks.

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. Deep Learning464 topics
  2. Machine Learning353 topics
  3. Neural Networks353 topics
  4. Anomaly Detection212 topics
  5. Machine Translation181 topic
  6. Word Representation181 topic
  7. Community Structure151 topic
  8. Graph Neural Networks151 topic
  9. Knowledge Graph Embedding151 topic
  10. Network Dynamics151 topic
  11. Intrusion Detection131 topic
  12. Network Security131 topic
  13. Phishing121 topic
  14. Spam Detection121 topic
  15. Opinion Mining101 topic
  16. Sentiment Analysis101 topic
  17. Automatic91 topic
  18. Extraction91 topic
  19. Outlier Detection81 topic
  20. Unsupervised81 topic

Where does Feras N. Al-Obeidat work?

Feras N. Al-Obeidat's main affiliation in the publication record is Zayed University, United Arab Emirates.

How many publications and citations does Feras N. Al-Obeidat have?

OpenAlex counts 143 works and 2,281 citations for Feras N. Al-Obeidat, an h-index of 26, ranking #592,173 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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