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Researcher · University of California, Berkeley · United States

Connor McMahon

Connor McMahon publishes mostly in Computer Science Applications, Information Systems and Computer Networks and Communications, on topics such as Teaching and Learning Programming, Cloud Computing and Resource Management and Distributed systems and fault tolerance.

ORCID 0000-0003-3646-7908 OpenAlex
World rank
#2,061,818
of 7,710,434 ranked researchers
Rank in United States
#623,736
of 1,627,098
Works
20
Citations
332
Citations per work
16.6
h-index
7
i10-index 7Top 53% in Computer Science Applications
Connor McMahon

What does Connor McMahon research?

Connor McMahon's work is mostly in Computer Science (50%), Decision Sciences (5%), Social Sciences (5%).

Physical Sciences: 10 works · 50.1% of their workComputer Science: 10 works · 50.1% of their workComputer Science Applications: 3 works · 16.1% of their workComputer Networks and Communications: 3 works · 14.3% of their workInformation Systems: 3 works · 14.3% of their workHardware and Architecture: 1 works · 5.4% of their workEverything else: 8 works · 39.1% of their workSocial Sciences: 2 works · 10.8% of their workDecision Sciences: 1 works · 5.4% of their workInformation Systems and Management: 1 works · 5.4% of their workSocial Sciences: 1 works · 5.4% of their workCommunication: 1 works · 5.4% of their workTHEIR WORKConnor McMahon20works
Physical Sciences50%Social Sciences11%

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 Science1050.1%
  2. Everything else839.1%
    1. Decision Sciences15.4%
    2. Social Sciences15.4%
  1. 1Computer Science Applications16% of their works
  2. 2Information Systems14% of their works
  3. 3Computer Networks and Communications14% of their works
  4. 4Communication5% of their works
  5. 5Information Systems and Management5% of their works
  6. 6Hardware and Architecture5% of their works

Research topics

Which keywords describe Connor McMahon's research?

The keywords of their largest research topics: Distributed Systems, Learning Analytics, Big Data, Cloud Computing, Computational Thinking, Machine Learning, Programming Education and Consistency.

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.

All 19 words, with their numbers
  1. Distributed Systems113 topics
  2. Learning Analytics82 topics
  3. Big Data51 topic
  4. Cloud Computing51 topic
  5. Computational Thinking51 topic
  6. Machine Learning52 topics
  7. Programming Education51 topic
  8. Consistency41 topic
  9. Fault Tolerance41 topic
  10. Educational Data Mining31 topic
  11. Massive Open Online Courses31 topic
  12. Reproducibility31 topic
  13. Scientific Workflows31 topic
  14. Code Clone Detection21 topic
  15. Log Analysis21 topic
  16. Parallel Computing21 topic
  17. Performance Optimization21 topic
  18. Performance Prediction21 topic
  19. Refactoring21 topic

Where does Connor McMahon work?

Connor McMahon's main affiliation in the publication record is University of California, Berkeley, United States.

How many publications and citations does Connor McMahon have?

OpenAlex counts 20 works and 332 citations for Connor McMahon, an h-index of 7, ranking #2,061,818 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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