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Researcher · Temple University · United States

Stephen MacNeil

Stephen MacNeil publishes mostly in Computer Science Applications, Artificial Intelligence and Information Systems, on topics such as Teaching and Learning Programming, Online Learning and Analytics and Software Engineering Research.

ORCID 0000-0003-2781-6619 OpenAlex
World rank
#95,204
of 7,710,434 ranked researchers
Rank in United States
#36,555
of 1,627,098
Works
129
Citations
2.5k
Citations per work
19.6
h-index
23
i10-index 46Top 5.8% in Computer Science Applications
Stephen MacNeil

What does Stephen MacNeil research?

Stephen MacNeil's work is mostly in Computer Science (50%), Psychology (5%), Social Sciences (5%).

Physical Sciences: 65 works · 50.4% of their workComputer Science: 65 works · 50.4% of their workComputer Science Applications: 32 works · 25.1% of their workArtificial Intelligence: 22 works · 16.9% of their workInformation Systems: 11 works · 8.4% of their workEverything else: 46 works · 36.0% of their workSocial Sciences: 13 works · 10.3% of their workPsychology: 7 works · 5.4% of their workDevelopmental and Educational Psychology: 7 works · 5.4% of their workSocial Sciences: 6 works · 4.9% of their workEducation: 6 works · 4.9% of their workLife Sciences: 4 works · 3.3% of their workNeuroscience: 4 works · 3.3% of their workCognitive Neuroscience: 4 works · 3.3% of their workTHEIR WORKStephen MacNeil129works
Life Sciences3%Physical Sciences50%Social Sciences10%

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 Science6550.4%
  2. Everything else4636.0%
    1. Psychology75.4%
    2. Social Sciences64.9%
    1. Neuroscience43.3%
  1. 1Computer Science Applications25% of their works
  2. 2Artificial Intelligence17% of their works
  3. 3Information Systems8% of their works
  4. 4Developmental and Educational Psychology5% of their works
  5. 5Education5% of their works
  6. 6Cognitive Neuroscience3% of their works

Research topics

Which keywords describe Stephen MacNeil's research?

The keywords of their largest research topics: Learning Analytics, Machine Learning, Computational Thinking, Programming Education, Educational Data Mining, Massive Open Online Courses, Code Clone Detection and Refactoring.

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. Learning Analytics822 topics
  2. Machine Learning633 topics
  3. Computational Thinking481 topic
  4. Programming Education481 topic
  5. Educational Data Mining341 topic
  6. Massive Open Online Courses341 topic
  7. Code Clone Detection181 topic
  8. Refactoring181 topic
  9. Affective States171 topic
  10. Intelligent Tutoring Systems171 topic
  11. Metacognition161 topic
  12. Self-Regulation161 topic
  13. Neural Networks131 topic
  14. Word Representation131 topic
  15. Artificial Intelligence111 topic
  16. Healthcare111 topic
  17. Reproducibility91 topic
  18. Scientific Workflows91 topic

Where does Stephen MacNeil work?

Stephen MacNeil's main affiliation in the publication record is Temple University, United States.

How many publications and citations does Stephen MacNeil have?

OpenAlex counts 129 works and 2,522 citations for Stephen MacNeil, an h-index of 23, ranking #95,204 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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