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Researcher · MacEwan University · Canada

Mohamad El-Hajj

Mohamad El-Hajj publishes mostly in Economics and Econometrics, Information Systems and Artificial Intelligence, on topics such as Sports Analytics and Performance, Data Mining Algorithms and Applications and Sports Performance and Training.

ORCID 0009-0001-4614-0303 OpenAlex
World rank
#5,732,930
of 7,710,434 ranked researchers
Rank in Canada
#161,468
of 183,316
Works
22
Citations
34
Citations per work
1.5
h-index
3
i10-index 1Top 88% in Economics and Econometrics
Mohamad El-Hajj

What does Mohamad El-Hajj research?

Mohamad El-Hajj's work is mostly in Computer Science (20%), Economics, Econometrics and Finance (14%), Social Sciences (8%).

Everything else: 10 works · 47.1% of their workPhysical Sciences: 6 works · 25.5% of their workComputer Science: 4 works · 19.6% of their workInformation Systems: 3 works · 11.8% of their workArtificial Intelligence: 2 works · 7.8% of their workEngineering: 1 works · 5.9% of their workAerospace Engineering: 1 works · 5.9% of their workSocial Sciences: 5 works · 21.5% of their workEconomics, Econometrics and Finance: 3 works · 13.7% of their workEconomics and Econometrics: 3 works · 13.7% of their workSocial Sciences: 2 works · 7.8% of their workSociology and Political Science: 2 works · 7.8% of their workHealth Sciences: 1 works · 5.9% of their workMedicine: 1 works · 5.9% of their workOrthopedics and Sports Medicine: 1 works · 5.9% of their workTHEIR WORKMohamad El-Hajj22works
Physical Sciences26%Health Sciences6%Social Sciences22%

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 else1047.1%
    1. Computer Science419.6%
    2. Engineering15.9%
    1. Economics, Econometrics and Finance313.7%
    2. Social Sciences27.8%
    1. Medicine15.9%
  1. 1Economics and Econometrics14% of their works
  2. 2Information Systems12% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Sociology and Political Science8% of their works
  5. 5Aerospace Engineering6% of their works
  6. 6Orthopedics and Sports Medicine6% of their works

Research topics

Which keywords describe Mohamad El-Hajj's research?

The keywords of their largest research topics: Competitive Balance, Prediction Markets, Data Mining, Deep Learning, Frequent Patterns, Neural Networks, Performance Analysis and Training Load.

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. Competitive Balance61 topic
  2. Prediction Markets61 topic
  3. Data Mining41 topic
  4. Deep Learning42 topics
  5. Frequent Patterns41 topic
  6. Neural Networks42 topics
  7. Performance Analysis31 topic
  8. Training Load31 topic
  9. Air Force21 topic
  10. Anomaly Detection21 topic
  11. Culture21 topic
  12. GPS Trajectories21 topic
  13. Islam21 topic
  14. Modernization21 topic
  15. Short-Term Forecasting21 topic
  16. Traffic Flow21 topic
  17. Trajectory Data Mining21 topic
  18. Unsupervised21 topic

Where does Mohamad El-Hajj work?

Mohamad El-Hajj's main affiliation in the publication record is MacEwan University, Canada.

How many publications and citations does Mohamad El-Hajj have?

OpenAlex counts 22 works and 34 citations for Mohamad El-Hajj, an h-index of 3, ranking #5,732,930 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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