What is he best known for?
The fields of study he is best known for:
- Social psychology
- Cognition
- Artificial intelligence
His primary scientific interests are in Cognition, Iowa gambling task, Developmental psychology, Social psychology and Stochastic game.
His study explores the link between Cognition and topics such as Clinical psychology that cross with problems in Pharmacology toxicology.
His research in Iowa gambling task intersects with topics in Psychosis, Orbitofrontal cortex, Cognitive model and Schizophrenia.
Within one scientific family, Eldad Yechiam focuses on topics pertaining to Space under Cognitive model, and may sometimes address concerns connected to Cognitive psychology.
Many of his research projects under Developmental psychology are closely connected to Brain stimulation reward with Brain stimulation reward, tying the diverse disciplines of science together.
His work in Social psychology addresses issues such as Description-experience gap, which are connected to fields such as Social learning.
His most cited work include:
- Using Cognitive Models to Map Relations Between Neuropsychological Disorders and Human Decision-Making Deficits (248 citations)
- Iowa Gambling Task in schizophrenia: A review and new data in patients with schizophrenia and co-occurring cannabis use disorders (160 citations)
- Comparison of basic assumptions embedded in learning models for experience-based decision making. (151 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Social psychology, Cognition, Cognitive psychology, Iowa gambling task and Developmental psychology.
Eldad Yechiam combines subjects such as Description-experience gap and Stochastic game with his study of Social psychology.
Eldad Yechiam has researched Stochastic game in several fields, including Adaptive behavior, Econometrics and Artificial intelligence, Reinforcement learning.
His Cognition research focuses on subjects like Consistency, which are linked to Contrast.
His Iowa gambling task course of study focuses on Impulsivity and Addiction.
His biological study spans a wide range of topics, including Expectancy theory, Substance abuse and Clinical psychology.
He most often published in these fields:
- Social psychology (26.26%)
- Cognition (20.20%)
- Cognitive psychology (17.17%)
What were the highlights of his more recent work (between 2016-2021)?
- Microeconomics (8.08%)
- Loss aversion (14.14%)
- Variance (5.05%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Microeconomics, Loss aversion, Variance, Experiential learning and Outcome.
His study on Endowment effect is often connected to Relation as part of broader study in Microeconomics.
He conducted interdisciplinary study in his works that combined Loss aversion and Risk taking.
Eldad Yechiam interconnects Robustness, Social psychology and Risk aversion in the investigation of issues within Experiential learning.
His studies in Social psychology integrate themes in fields like Preference and Rare events.
His Outcome research incorporates elements of Choice set, Competition, Generality, Set and Preference.
Between 2016 and 2021, his most popular works were:
- Acceptable losses: the debatable origins of loss aversion. (27 citations)
- Who's biased? A meta-analysis of buyer-seller differences in the pricing of lotteries. (16 citations)
- The consistency of visual attention to losses and loss sensitivity across valuation and choice (8 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Social psychology
- Artificial intelligence
His primary areas of investigation include Loss aversion, Prospect theory, Econometrics, Variance and Risk taking.
His biological study spans a wide range of topics, including Cumulative prospect theory, Empirical research, Endowment effect and Consumer behaviour.
His Econometrics study combines topics from a wide range of disciplines, such as Attentional bias, Cognition and Eye tracking.
His Variance research overlaps with Convergence, Outcome, Experiential learning, Set and Independence.
Risk taking is connected with Avoidance learning, Argument and Positive economics in his research.
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