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Researcher · Zarqa University · Jordan

Essam Said Hanandeh

Essam Said Hanandeh publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Metaheuristic Optimization Algorithms Research, Text and Document Classification Technologies and Evolutionary Algorithms and Applications.

OpenAlex
World rank
#650,774
of 7,710,434 ranked researchers
Rank in Jordan
#419
of 5,764
Works
59
Citations
2.2k
Citations per work
37.7
h-index
20
i10-index 25Top 13% in Artificial Intelligence
Essam Said Hanandeh

What does Essam Said Hanandeh research?

Essam Said Hanandeh's work is mostly in Computer Science (72%), Social Sciences (4%).

Physical Sciences: 43 works · 72.1% of their workComputer Science: 43 works · 72.1% of their workArtificial Intelligence: 28 works · 47.6% of their workInformation Systems: 6 works · 9.8% of their workComputer Networks and Communications: 3 works · 5.6% of their workComputer Vision and Pattern Recognition: 3 works · 5.6% of their workSignal Processing: 2 works · 3.5% of their workEverything else: 14 works · 24.4% of their workSocial Sciences: 2 works · 3.5% of their workSocial Sciences: 2 works · 3.5% of their workEducation: 2 works · 3.5% of their workTHEIR WORKEssam SaidHanandeh59works
Physical Sciences72%Social 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 Science4372.1%
  2. Everything else1424.4%
    1. Social Sciences23.5%
  1. 1Artificial Intelligence48% of their works
  2. 2Information Systems10% of their works
  3. 3Computer Networks and Communications6% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Signal Processing4% of their works
  6. 6Education4% of their works

Research topics

Which keywords describe Essam Said Hanandeh's research?

The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Feature Selection, Ant Colony Optimization, Differential Evolution, Information Retrieval, Text Classification and Multi-label Learning.

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 24 words, with their numbers
  1. Evolutionary Algorithms354 topics
  2. Particle Swarm Optimization232 topics
  3. Feature Selection192 topics
  4. Ant Colony Optimization181 topic
  5. Differential Evolution181 topic
  6. Information Retrieval182 topics
  7. Text Classification182 topics
  8. Multi-label Learning131 topic
  9. Naive Bayes Classifier131 topic
  10. Multiobjective Optimization112 topics
  11. Machine Learning102 topics
  12. Neural Networks92 topics
  13. Classification61 topic
  14. Clustering Algorithms61 topic
  15. Genetic Programming61 topic
  16. K-means61 topic
  17. Genetic Algorithm51 topic
  18. Machine Translation51 topic
  19. Surrogate Modeling51 topic
  20. Word Representation51 topic
  21. Automatic41 topic
  22. Extraction41 topic
  23. Intrusion Detection41 topic
  24. Network Security41 topic

Where does Essam Said Hanandeh work?

Essam Said Hanandeh's main affiliation in the publication record is Zarqa University, Jordan.

How many publications and citations does Essam Said Hanandeh have?

OpenAlex counts 59 works and 2,224 citations for Essam Said Hanandeh, an h-index of 20, ranking #650,774 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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