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Researcher · Middle Technical University · Iraq

Mohammed Fadhil Ibrahim

Mohammed Fadhil Ibrahim publishes mostly in Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, on topics such as Advanced Text Analysis Techniques, Text and Document Classification Technologies and Neural dynamics and brain function.

ORCID 0000-0003-4674-020X OpenAlex
World rank
#5,189,999
of 7,710,434 ranked researchers
Rank in Iraq
#3,387
of 9,225
Works
16
Citations
75
Citations per work
4.7
h-index
5
i10-index 3Top 82% in Artificial Intelligence
Mohammed Fadhil Ibrahim

What does Mohammed Fadhil Ibrahim research?

Mohammed Fadhil Ibrahim's work is mostly in Computer Science (50%), Engineering (11%), Neuroscience (9%).

Physical Sciences: 10 works · 61.4% of their workComputer Science: 8 works · 50.0% of their workArtificial Intelligence: 5 works · 31.8% of their workSignal Processing: 2 works · 11.4% of their workComputer Vision and Pattern Recognition: 1 works · 6.8% of their workEngineering: 2 works · 11.4% of their workElectrical and Electronic Engineering: 2 works · 11.4% of their workEverything else: 4 works · 25.0% of their workLife Sciences: 1 works · 9.1% of their workNeuroscience: 1 works · 9.1% of their workCognitive Neuroscience: 1 works · 9.1% of their workSocial Sciences: 1 works · 4.5% of their workBusiness, Management and Accounting: 1 works · 4.5% of their workMarketing: 1 works · 4.5% of their workTHEIR WORKMohammed FadhilIbrahim16works
Life Sciences9%Physical Sciences61%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 Science850.0%
    2. Engineering211.4%
  2. Everything else425.0%
    1. Neuroscience19.1%
    1. Business, Management and Accounting14.5%
  1. 1Artificial Intelligence32% of their works
  2. 2Signal Processing11% of their works
  3. 3Electrical and Electronic Engineering11% of their works
  4. 4Cognitive Neuroscience9% of their works
  5. 5Computer Vision and Pattern Recognition7% of their works
  6. 6Marketing4% of their works

Research topics

Which keywords describe Mohammed Fadhil Ibrahim's research?

The keywords of their largest research topics: Neural Networks, Automatic, Extraction, Machine Learning, Multi-label Learning, Text Classification, Cortical Networks and Neuronal Oscillations.

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. Neural Networks72 topics
  2. Automatic51 topic
  3. Extraction51 topic
  4. Machine Learning42 topics
  5. Multi-label Learning41 topic
  6. Text Classification41 topic
  7. Cortical Networks31 topic
  8. Neuronal Oscillations31 topic
  9. Biometric Recognition21 topic
  10. Healthcare21 topic
  11. Information Systems21 topic
  12. Memristor21 topic
  13. Neuromorphic Computing21 topic
  14. Opinion Mining21 topic
  15. Security21 topic
  16. Sentiment Analysis21 topic
  17. Smart Cities21 topic
  18. Technology Acceptance Model21 topic

Where does Mohammed Fadhil Ibrahim work?

Mohammed Fadhil Ibrahim's main affiliation in the publication record is Middle Technical University, Iraq.

How many publications and citations does Mohammed Fadhil Ibrahim have?

OpenAlex counts 16 works and 75 citations for Mohammed Fadhil Ibrahim, an h-index of 5, ranking #5,189,999 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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