What is he best known for?
The fields of study he is best known for:
- Statistics
- Internal medicine
- Social psychology
His primary scientific interests are in Social psychology, Econometrics, Temporal discounting, Probabilistic logic and Cognition.
His Social psychology research integrates issues from Discount function, Statistics, Preference and Actuarial science.
The concepts of his Econometrics study are interwoven with issues in Value, Delay of gratification and Delayed reward.
His research investigates the connection with Temporal discounting and areas like Age differences which intersect with concerns in Demography.
His Probabilistic logic study frequently links to adjacent areas such as Impulsivity.
In Reinforcement, he works on issues like Cognitive psychology, which are connected to Maximization.
His most cited work include:
- A discounting framework for choice with delayed and probabilistic rewards. (1166 citations)
- Commitment, choice and self-control (1032 citations)
- AREA UNDER THE CURVE AS A MEASURE OF DISCOUNTING (1002 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Social psychology, Reinforcement, Econometrics, Delay discounting and Developmental psychology.
His work deals with themes such as Cognitive psychology, Impulsivity, Delayed reward, Probabilistic logic and Preference, which intersect with Social psychology.
His study on Reinforcement also encompasses disciplines like
- Statistics, which have a strong connection to Hyperbolic discounting,
- Maximization which connect with Mathematical economics.
The Econometrics study combines topics in areas such as Value and Temporal discounting.
Leonard Green has researched Temporal discounting in several fields, including Young adult, Cognition and Age differences.
His Delay discounting research is multidisciplinary, relying on both Self-administration and Delay of gratification.
He most often published in these fields:
- Social psychology (30.97%)
- Reinforcement (23.23%)
- Econometrics (17.42%)
What were the highlights of his more recent work (between 2010-2021)?
- Delay discounting (16.77%)
- Social psychology (30.97%)
- Developmental psychology (16.13%)
In recent papers he was focusing on the following fields of study:
Delay discounting, Social psychology, Developmental psychology, Cognitive psychology and Impulsivity are his primary areas of study.
His research integrates issues of Pleasure, Reinforcement, Pharmacology toxicology and Drug in his study of Delay discounting.
His biological study spans a wide range of topics, including Contrast, Econometrics, Probabilistic logic, Value and Delayed reward.
His Econometrics study frequently intersects with other fields, such as Preference.
His Cognitive psychology study integrates concerns from other disciplines, such as Outcome, Intertemporal choice and Episodic memory.
His research investigates the link between Impulsivity and topics such as Positive economics that cross with problems in Consumer behaviour.
Between 2010 and 2021, his most popular works were:
- HOW MANY IMPULSIVITIES? A DISCOUNTING PERSPECTIVE (116 citations)
- Discounting of Various types of rewards by women with and without binge eating Disorder: Evidence for general rather than specific Differences. (113 citations)
- Income-Leisure Tradeoffs of Animal Workers (95 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Internal medicine
- Social psychology
Leonard Green mainly investigates Social psychology, Cognitive psychology, Probabilistic logic, Function and Econometrics.
His work carried out in the field of Social psychology brings together such families of science as Value, Statistics and Impulsivity.
His Statistics research is multidisciplinary, incorporating elements of Delayed reward and Hyperbolic discounting.
His studies deal with areas such as Delay discounting, Dissociation and Episodic memory as well as Cognitive psychology.
Leonard Green has included themes like Anesthesia, Self-administration, Reinforcement, Pharmacology toxicology and Drug in his Delay discounting study.
His study in Probabilistic logic is interdisciplinary in nature, drawing from both Probability distribution, Prospect theory and Bellman equation.
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.
