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Researcher · University of Tikrit · Iraq

Khalaf Salloum Gaeid

Khalaf Salloum Gaeid publishes mostly in Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence, on topics such as Sensorless Control of Electric Motors, Multilevel Inverters and Converters and Fault Detection and Control Systems.

ORCID 0000-0002-8943-3034 OpenAlex
World rank
#910,176
of 7,710,434 ranked researchers
Rank in Iraq
#398
of 9,225
Works
59
Citations
1.5k
Citations per work
26.0
h-index
18
i10-index 27Top 22% in Electrical and Electronic Engineering
Khalaf Salloum Gaeid

What does Khalaf Salloum Gaeid research?

Khalaf Salloum Gaeid's work is mostly in Engineering (74%), Computer Science (8%), Energy (4%).

Physical Sciences: 51 works · 86.5% of their workEngineering: 44 works · 74.5% of their workElectrical and Electronic Engineering: 25 works · 42.9% of their workControl and Systems Engineering: 16 works · 26.8% of their workMechanical Engineering: 3 works · 4.8% of their workComputer Science: 5 works · 7.8% of their workArtificial Intelligence: 4 works · 6.0% of their workComputer Vision and Pattern Recognition: 1 works · 1.8% of their workEnergy: 2 works · 4.2% of their workRenewable Energy, Sustainability and the Environment: 2 works · 4.2% of their workEverything else: 8 works · 13.5% of their workTHEIR WORKKhalaf SalloumGaeid59works
Physical Sciences86%

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. Engineering4474.5%
    2. Computer Science57.8%
    3. Energy24.2%
  2. Everything else813.5%
  1. 1Electrical and Electronic Engineering43% of their works
  2. 2Control and Systems Engineering27% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Mechanical Engineering5% of their works
  5. 5Renewable Energy, Sustainability and the Environment4% of their works
  6. 6Computer Vision and Pattern Recognition2% of their works

Research topics

Which keywords describe Khalaf Salloum Gaeid's research?

The keywords of their largest research topics: Parameter Estimation, Machine Learning, Induction Motors, Sensorless Control, Deep Learning, Multilevel Converters, Neural Networks and Power Electronics.

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. Parameter Estimation252 topics
  2. Machine Learning232 topics
  3. Induction Motors191 topic
  4. Sensorless Control191 topic
  5. Deep Learning152 topics
  6. Multilevel Converters151 topic
  7. Neural Networks152 topics
  8. Power Electronics151 topic
  9. Electric Motor Drives121 topic
  10. Fault Detection121 topic
  11. Permanent Magnet Machines121 topic
  12. Process Monitoring121 topic
  13. Empirical Mode Decomposition111 topic
  14. Fault Diagnosis111 topic
  15. Maximum Power Point Tracking61 topic
  16. Photovoltaic Arrays61 topic
  17. Home Automation51 topic
  18. Wireless51 topic
  19. Backpropagation Learning41 topic
  20. Self-Organizing Maps41 topic

Where does Khalaf Salloum Gaeid work?

Khalaf Salloum Gaeid's main affiliation in the publication record is University of Tikrit, Iraq.

How many publications and citations does Khalaf Salloum Gaeid have?

OpenAlex counts 59 works and 1,534 citations for Khalaf Salloum Gaeid, an h-index of 18, ranking #910,176 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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