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Researcher · Tufts Medical Center · United States

James M Gaylor

James M Gaylor publishes mostly in Statistics, Probability and Uncertainty, Radiology, Nuclear Medicine and Imaging and Economics and Econometrics, on topics such as Meta-analysis and systematic reviews, Advanced MRI Techniques and Applications and Delphi Technique in Research.

OpenAlex
World rank
#6,946,237
of 7,710,434 ranked researchers
Rank in United States
#1,569,949
of 1,627,098
Works
71
Citations
352
Citations per work
5.0
h-index
4
i10-index 3Top 89% in Statistics, Probability and Uncertainty
James M Gaylor

What does James M Gaylor research?

James M Gaylor's work is mostly in Decision Sciences (14%), Medicine (13%), Economics, Econometrics and Finance (8%).

Everything else: 38 works · 53.2% of their workSocial Sciences: 18 works · 25.3% of their workDecision Sciences: 10 works · 13.8% of their workStatistics, Probability and Uncertainty: 10 works · 13.8% of their workEconomics, Econometrics and Finance: 5 works · 7.7% of their workEconomics and Econometrics: 5 works · 7.7% of their workSocial Sciences: 3 works · 3.8% of their workSociology and Political Science: 3 works · 3.8% of their workHealth Sciences: 9 works · 13.1% of their workMedicine: 9 works · 13.1% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 13.1% of their workLife Sciences: 3 works · 4.6% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 4.6% of their workGenetics: 3 works · 4.6% of their workPhysical Sciences: 3 works · 3.8% of their workEngineering: 3 works · 3.8% of their workBiomedical Engineering: 3 works · 3.8% of their workTHEIR WORKJames M Gaylor71works
Life Sciences5%Physical Sciences4%Health Sciences13%Social Sciences25%

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 else3853.2%
    1. Decision Sciences1013.8%
    2. Economics, Econometrics and Finance57.7%
    3. Social Sciences33.8%
    1. Medicine913.1%
    1. Biochemistry, Genetics and Molecular Biology34.6%
    1. Engineering33.8%
  1. 1Statistics, Probability and Uncertainty14% of their works
  2. 2Radiology, Nuclear Medicine and Imaging13% of their works
  3. 3Economics and Econometrics8% of their works
  4. 4Genetics5% of their works
  5. 5Sociology and Political Science4% of their works
  6. 6Biomedical Engineering4% of their works

Research topics

Which keywords describe James M Gaylor's research?

The keywords of their largest research topics: Meta-Analysis, PRISMA Statement, Magnetic Resonance Imaging, Perfusion Imaging, Economic Evaluation, Public Health, Consensus Building and Delphi Method.

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 18 words, with their numbers
  1. Meta-Analysis161 topic
  2. PRISMA Statement161 topic
  3. Magnetic Resonance Imaging91 topic
  4. Perfusion Imaging91 topic
  5. Economic Evaluation72 topics
  6. Public Health72 topics
  7. Consensus Building51 topic
  8. Delphi Method51 topic
  9. Cost-effectiveness Analysis41 topic
  10. Nutrigenomics41 topic
  11. Personalized Nutrition41 topic
  12. Quality of Life41 topic
  13. Cardiovascular Diseases31 topic
  14. Financial Analysis31 topic
  15. Measurement Invariance31 topic
  16. Monetary Policy31 topic
  17. Risk Factors31 topic
  18. Structural Equation Modeling31 topic

Where does James M Gaylor work?

James M Gaylor's main affiliation in the publication record is Tufts Medical Center, United States.

How many publications and citations does James M Gaylor have?

OpenAlex counts 71 works and 352 citations for James M Gaylor, an h-index of 4, ranking #6,946,237 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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