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Researcher · Bethlehem University · Palestine

Suhail M. Odeh

Suhail M. Odeh publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as AI in cancer detection, Traffic Prediction and Management Techniques and Cutaneous Melanoma Detection and Management.

ORCID 0000-0003-4186-8327 OpenAlex
World rank
#4,445,523
of 7,710,434 ranked researchers
Rank in Palestine
#678
of 1,137
Works
36
Citations
231
Citations per work
6.4
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Suhail M. Odeh

What does Suhail M. Odeh research?

Suhail M. Odeh's work is mostly in Computer Science (38%), Engineering (10%).

Everything else: 19 works · 51.5% of their workPhysical Sciences: 17 works · 48.5% of their workComputer Science: 14 works · 38.0% of their workArtificial Intelligence: 5 works · 13.3% of their workComputer Vision and Pattern Recognition: 3 works · 9.5% of their workInformation Systems: 3 works · 9.5% of their workComputer Networks and Communications: 2 works · 5.7% of their workEngineering: 4 works · 10.5% of their workElectrical and Electronic Engineering: 2 works · 5.7% of their workBuilding and Construction: 2 works · 4.8% of their workTHEIR WORKSuhail M. Odeh36works
Physical Sciences48%

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. Everything else1951.5%
    1. Computer Science1438.0%
    2. Engineering410.5%
  1. 1Artificial Intelligence13% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Information Systems10% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Building and Construction5% of their works

Research topics

Which keywords describe Suhail M. Odeh's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Intelligent Transportation Systems, Traffic Flow, Neural Networks, Dermoscopy, Histopathology Images and Medical Image Analysis.

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 21 words, with their numbers
  1. Deep Learning144 topics
  2. Machine Learning83 topics
  3. Intelligent Transportation Systems72 topics
  4. Traffic Flow72 topics
  5. Neural Networks62 topics
  6. Dermoscopy41 topic
  7. Histopathology Images41 topic
  8. Medical Image Analysis41 topic
  9. Melanoma41 topic
  10. Short-Term Forecasting41 topic
  11. Spatio-Temporal Data41 topic
  12. Blockchain31 topic
  13. Cooperative Adaptive Cruise Control31 topic
  14. Internet of Things31 topic
  15. Microscopic Simulation31 topic
  16. Automatic21 topic
  17. Extraction21 topic
  18. Fuzzy Logic Systems21 topic
  19. Plant Disease Detection21 topic
  20. Smart Farming21 topic
  21. Type-2 Fuzzy Sets21 topic

Where does Suhail M. Odeh work?

Suhail M. Odeh's main affiliation in the publication record is Bethlehem University, Palestine.

How many publications and citations does Suhail M. Odeh have?

OpenAlex counts 36 works and 231 citations for Suhail M. Odeh, an h-index of 8, ranking #4,445,523 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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