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Researcher · Iona College · United States

Keitha A. Murray

Keitha A. Murray publishes mostly in Information Systems, Artificial Intelligence and Safety, Risk, Reliability and Quality, on topics such as Software Engineering Research, Text and Document Classification Technologies and Teaching and Learning Programming.

OpenAlex
World rank
#3,982,118
of 7,710,434 ranked researchers
Rank in United States
#1,087,339
of 1,627,098
Works
15
Citations
172
Citations per work
11.5
h-index
5
i10-index 3Top 57% in Information Systems
Keitha A. Murray

What does Keitha A. Murray research?

Keitha A. Murray's work is mostly in Computer Science (47%), Engineering (14%), Biochemistry, Genetics and Molecular Biology (8%).

Physical Sciences: 9 works · 61.0% of their workComputer Science: 7 works · 47.1% of their workArtificial Intelligence: 3 works · 19.4% of their workInformation Systems: 3 works · 19.4% of their workComputer Science Applications: 1 works · 8.3% of their workEngineering: 2 works · 13.9% of their workSafety, Risk, Reliability and Quality: 2 works · 13.9% of their workEverything else: 4 works · 25.1% of their workLife Sciences: 1 works · 8.3% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 8.3% of their workMolecular Biology: 1 works · 8.3% of their workSocial Sciences: 1 works · 5.6% of their workDecision Sciences: 1 works · 5.6% of their workInformation Systems and Management: 1 works · 5.6% of their workTHEIR WORKKeitha A. Murray15works
Life Sciences8%Physical Sciences61%Social Sciences6%

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 Science747.1%
    2. Engineering213.9%
  2. Everything else425.1%
    1. Biochemistry, Genetics and Molecular Biology18.3%
    1. Decision Sciences15.6%
  1. 1Information Systems19% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Safety, Risk, Reliability and Quality14% of their works
  4. 4Molecular Biology8% of their works
  5. 5Computer Science Applications8% of their works
  6. 6Information Systems and Management6% of their works

Research topics

Which keywords describe Keitha A. Murray's research?

The keywords of their largest research topics: Machine Learning, Code Clone Detection, Refactoring, Computational Thinking, Maintenance Optimization, Multi-label Learning, Programming Education and Reliability Engineering.

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 17 words, with their numbers
  1. Machine Learning72 topics
  2. Code Clone Detection51 topic
  3. Refactoring51 topic
  4. Computational Thinking31 topic
  5. Maintenance Optimization31 topic
  6. Multi-label Learning31 topic
  7. Programming Education31 topic
  8. Reliability Engineering31 topic
  9. Text Classification31 topic
  10. Automatic21 topic
  11. Extraction21 topic
  12. Information Visualization21 topic
  13. Phishing21 topic
  14. Reliability Evaluation21 topic
  15. Spam Detection21 topic
  16. Visual Analytics21 topic
  17. Wind Power21 topic

Where does Keitha A. Murray work?

Keitha A. Murray's main affiliation in the publication record is Iona College, United States.

How many publications and citations does Keitha A. Murray have?

OpenAlex counts 15 works and 172 citations for Keitha A. Murray, an h-index of 5, ranking #3,982,118 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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