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Researcher · Manchester Grammar School · United Kingdom

Neil Sheldon

Neil Sheldon publishes mostly in Statistics and Probability, Artificial Intelligence and Linguistics and Language, on topics such as Statistics Education and Methodologies, Data Analysis with R and Philosophy and History of Science.

ORCID 0000-0001-5799-3590 OpenAlex
World rank
#4,552,878
of 7,710,434 ranked researchers
Rank in United Kingdom
#281,482
of 367,258
Works
20
Citations
115
Citations per work
5.8
h-index
6
i10-index 5Top 80% in Statistics and Probability
Neil Sheldon

What does Neil Sheldon research?

Neil Sheldon's work is mostly in Mathematics (33%), Computer Science (11%), Arts and Humanities (6%).

Physical Sciences: 9 works · 44.5% of their workMathematics: 7 works · 33.4% of their workStatistics and Probability: 6 works · 27.8% of their workNumerical Analysis: 1 works · 5.6% of their workComputer Science: 2 works · 11.1% of their workArtificial Intelligence: 2 works · 11.1% of their workEverything else: 8 works · 41.5% of their workSocial Sciences: 3 works · 14.0% of their workArts and Humanities: 1 works · 5.6% of their workHistory and Philosophy of Science: 1 works · 5.6% of their workSocial Sciences: 1 works · 5.6% of their workLinguistics and Language: 1 works · 5.6% of their workEconomics, Econometrics and Finance: 1 works · 2.8% of their workEconomics and Econometrics: 1 works · 2.8% of their workTHEIR WORKNeil Sheldon20works
Physical Sciences44%Social Sciences14%

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. Mathematics733.4%
    2. Computer Science211.1%
  2. Everything else841.5%
    1. Arts and Humanities15.6%
    2. Social Sciences15.6%
    3. Economics, Econometrics and Finance12.8%
  1. 1Statistics and Probability28% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Linguistics and Language6% of their works
  4. 4History and Philosophy of Science6% of their works
  5. 5Numerical Analysis6% of their works
  6. 6Economics and Econometrics3% of their works

Research topics

Which keywords describe Neil Sheldon's research?

The keywords of their largest research topics: Data Science, Statistics Anxiety, Machine Learning, Evolutionary Synthesis, Mechanistic Explanation, R language, Statistical Analysis and Absolute Configuration.

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 17 words, with their numbers
  1. Data Science81 topic
  2. Statistics Anxiety81 topic
  3. Machine Learning32 topics
  4. Evolutionary Synthesis21 topic
  5. Mechanistic Explanation21 topic
  6. R language21 topic
  7. Statistical Analysis21 topic
  8. Absolute Configuration11 topic
  9. Automatic11 topic
  10. Chiroptical Spectroscopy11 topic
  11. Educational Data Mining11 topic
  12. Electric Circuits11 topic
  13. Equivalent Circuit Concept11 topic
  14. Extraction11 topic
  15. Fuzzy Cognitive Maps11 topic
  16. Learning Analytics11 topic
  17. Modeling11 topic

Where does Neil Sheldon work?

Neil Sheldon's main affiliation in the publication record is Manchester Grammar School, United Kingdom.

How many publications and citations does Neil Sheldon have?

OpenAlex counts 20 works and 115 citations for Neil Sheldon, an h-index of 6, ranking #4,552,878 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.

Discussion

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