What is he best known for?
The fields of study he is best known for:
- Statistics
- Social psychology
- Mental health
His primary scientific interests are in Demography, Social class, Multilevel model, Gerontology and Injury prevention.
In his works, he conducts interdisciplinary research on Demography and Drinking culture.
Kim Bloomfield undertakes interdisciplinary study in the fields of Social class and Social inequality through his research.
Kim Bloomfield has researched Gerontology in several fields, including Socioeconomic status and Small-Area Analysis.
Kim Bloomfield has included themes like Suicide prevention and Human factors and ergonomics in his Injury prevention study.
His study ties his expertise on Environmental health together with the subject of International comparisons.
His most cited work include:
- Social inequalities in alcohol consumption and alcohol-related problems in the study countries of the EU concerted action 'gender, culture and alcohol problems: a multi-national study' (229 citations)
- Alcohol consumption and ethyl carbamate (185 citations)
- Alcohol consumption and ethyl carbamate (185 citations)
What are the main themes of his work throughout his whole career to date?
Kim Bloomfield mostly deals with Environmental health, Demography, Alcohol consumption, Injury prevention and Alcohol.
Kim Bloomfield studied Environmental health and Harm that intersect with Harassment.
His research integrates issues of Socioeconomic status, Multilevel model and Gerontology in his study of Demography.
His work on Heavy drinking is typically connected to Health psychology as part of general Alcohol consumption study, connecting several disciplines of science.
His studies in Injury prevention integrate themes in fields like Suicide prevention and Human factors and ergonomics.
By researching both Social class and Small-Area Analysis, Kim Bloomfield produces research that crosses academic boundaries.
He most often published in these fields:
- Environmental health (52.76%)
- Demography (41.73%)
- Alcohol consumption (26.77%)
What were the highlights of his more recent work (between 2017-2021)?
- Environmental health (52.76%)
- Harm (16.54%)
- Alcohol consumption (26.77%)
In recent papers he was focusing on the following fields of study:
Kim Bloomfield focuses on Environmental health, Harm, Alcohol consumption, Alcohol and Multilevel model.
His Environmental health study combines topics from a wide range of disciplines, such as Socioeconomic status and Survey data collection.
His Socioeconomic status research includes elements of Logistic regression and Biostatistics.
Kim Bloomfield interconnects International comparisons and Harassment in the investigation of issues within Harm.
In general Alcohol consumption study, his work on Alcohol related harm and Drinking behaviour often relates to the realm of Preprint and Scale, thereby connecting several areas of interest.
His Domestic violence study, which is part of a larger body of work in Human factors and ergonomics, is frequently linked to Variation, Aggression, Multinomial logistic regression and Demography, bridging the gap between disciplines.
Between 2017 and 2021, his most popular works were:
- The GENAHTO Project (Gender and Alcohol's Harm to Others): Design and methods for a multinational study of alcohol's harm to persons other than the drinker. (11 citations)
- The relationship between socioeconomic status and risky drinking in Denmark: a cross-sectional general population study. (8 citations)
- The Harms That Drinkers Cause: Regional Variations Within Countries (6 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Social psychology
- Mental health
Kim Bloomfield mainly focuses on Environmental health, Injury prevention, Alcohol consumption, Danish and Multilevel model.
Kim Bloomfield integrates Injury prevention with Socioeconomic status in his study.
Kim Bloomfield integrates Socioeconomic status with Economic inequality in his research.
His work on Binge drinking as part of general Alcohol consumption study is frequently connected to Variation, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His research combines Survey data collection and Multilevel model.
His research investigates the connection with Biostatistics and areas like Logistic regression which intersect with concerns in Affect, Social issues, Finance and Cross-sectional study.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
