Julian P. T. Higgins
Julian P. T. Higgins publishes mostly in Statistics, Probability and Uncertainty, Statistics and Probability and Genetics, on topics such as Meta-analysis and systematic reviews, Statistical Methods in Clinical Trials and Health Systems, Economic Evaluations, Quality of Life.
- World rank
- #2,959 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #193 of 367,258
- Works
- 633
- Citations
- 390k
- Citations per work
- 616.9
What does Julian P. T. Higgins research?
Julian P. T. Higgins's work is mostly in Decision Sciences (18%), Mathematics (9%), Biochemistry, Genetics and Molecular Biology (6%).
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
- Everything else34454.4%
- Social Sciences14122.3%
- Decision Sciences11418.0%
- Economics, Econometrics and Finance274.3%
- Physical Sciences609.4%
- Mathematics609.4%
- Health Sciences518.0%
- Medicine274.3%
- Health Professions233.7%
- Life Sciences375.9%
- 1Statistics, Probability and Uncertainty18% of their works
- 2Statistics and Probability9% of their works
- 3Genetics6% of their works
- 4Public Health, Environmental and Occupational Health4% of their works
- 5Economics and Econometrics4% of their works
- 6General Health Professions4% of their works
Research topics
- Meta-analysis and systematic reviews
- Statistical Methods in Clinical Trials
- Health Systems, Economic Evaluations, Quality of Life
- Genetic Associations and Epidemiology
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Health Policy Implementation Science
- Reliability and Agreement in Measurement
Which keywords describe Julian P. T. Higgins's research?
The keywords of their largest research topics: Meta-Analysis, PRISMA Statement, Adaptive Designs, False Discovery Rate, Statistical Methods, Cost-effectiveness Analysis, Quality of Life and Genetic Variation.
- Inter-Rater Reliability
- Implementation Science
- Multiple Imputation
- Bayesian Modeling
- Genetic Variation
- Cost-effectiveness Analysis
- False Discovery Rate
- PRISMA Statement
- Meta-Analysis
- Adaptive Designs
- Statistical Methods
- Quality of Life
- Genome-Wide Association
- Causal Inference
- Propensity Score
- Qualitative Research
- Kappa Statistic
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
- Meta-Analysis2201 topic
- PRISMA Statement2201 topic
- Adaptive Designs651 topic
- False Discovery Rate651 topic
- Statistical Methods562 topics
- Cost-effectiveness Analysis431 topic
- Quality of Life431 topic
- Genetic Variation381 topic
- Genome-Wide Association381 topic
- Bayesian Modeling321 topic
- Causal Inference321 topic
- Multiple Imputation321 topic
- Propensity Score321 topic
- Implementation Science251 topic
- Qualitative Research251 topic
- Inter-Rater Reliability241 topic
- Kappa Statistic241 topic
Where does Julian P. T. Higgins work?
Julian P. T. Higgins's main affiliation in the publication record is University of Bristol, United Kingdom.
How many publications and citations does Julian P. T. Higgins have?
OpenAlex counts 633 works and 390,472 citations for Julian P. T. Higgins, an h-index of 157, ranking #2,959 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
Ask a question or share a note about Julian P. T. Higgins. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.