What is he best known for?
The fields of study he is best known for:
- Law
- Social psychology
- Statistics
His main research concerns Risk perception, Social psychology, Risk assessment, Cognition and Affect heuristic.
His Risk perception study integrates concerns from other disciplines, such as Risk analysis, Suicide prevention, Risk management and Public relations.
Many of his research projects under Social psychology are closely connected to Time pressure with Time pressure, tying the diverse disciplines of science together.
He has researched Risk assessment in several fields, including Voluntariness, Actuarial science, Public participation, Human factors and ergonomics and Taste.
His Cognition study incorporates themes from Attribution, Causality, Positive economics, Information processing and Commensurability.
His studies deal with areas such as Feeling and Affect as well as Affect heuristic.
His most cited work include:
- Perception of risk. (6257 citations)
- Judgment Under Uncertainty: Heuristics and Biases. (5762 citations)
- Judgment under uncertainty: Causality and attribution (4567 citations)
What are the main themes of his work throughout his whole career to date?
Paul Slovic focuses on Risk perception, Social psychology, Perception, Affect and Risk assessment.
His study in Risk perception is interdisciplinary in nature, drawing from both Risk analysis, Actuarial science, Risk management and Public relations.
The Social psychology study combines topics in areas such as Cultural cognition, Cognition, Rationality and Information processing.
His research on Cognition often connects related areas such as Cognitive psychology.
His Risk assessment research is multidisciplinary, incorporating elements of Risk analysis, Public opinion and Environmental health.
In most of his Feeling studies, his work intersects topics such as Meaning.
He most often published in these fields:
- Risk perception (35.89%)
- Social psychology (36.32%)
- Perception (14.22%)
What were the highlights of his more recent work (between 2015-2021)?
- Social psychology (36.32%)
- Risk perception (35.89%)
- Affect (13.79%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Social psychology, Risk perception, Affect, Compassion and Cognitive psychology.
His Social psychology research integrates issues from Developmental psychology, Phenomenon, Regret and Donation.
In the field of Risk perception, his study on Affect heuristic overlaps with subjects such as Perspective.
The various areas that Paul Slovic examines in his Affect heuristic study include Feeling and Valuation.
He interconnects Rationality, Multiple-criteria decision analysis, Journalism, Framing and Mass violence in the investigation of issues within Affect.
His research in Cognitive psychology intersects with topics in Scientific evidence, Representation, Cognition and Mood.
Between 2015 and 2021, his most popular works were:
- Motivated numeracy and enlightened self-government (189 citations)
- Changing Perceptions of Harm of E-Cigarettes Among U.S. Adults, 2012-2015. (98 citations)
- Iconic photographs and the ebb and flow of empathic response to humanitarian disasters (63 citations)
In his most recent research, the most cited papers focused on:
- Law
- Social psychology
- Statistics
Paul Slovic spends much of his time researching Social psychology, Affect, Public health, Cognition and Odds.
His study in Social psychology focuses on Feeling in particular.
His Affect study integrates concerns from other disciplines, such as Experiential learning, Representation, Preference and Mood.
His work in Public health tackles topics such as Environmental health which are related to areas like Risk assessment, Structural equation modeling, Biostatistics, Tobacco industry and Young adult.
Paul Slovic has researched Cognition in several fields, including Causal inference, Public policy and Cultural conflict.
He incorporates a variety of subjects into his writings, including Odds, News media, Race and Risk perception.
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.
