What is he best known for?
The fields of study he is best known for:
- Cognition
- Anxiety
- Social psychology
Jon May focuses on Cognitive psychology, Cognition, Developmental psychology, Working memory and Craving.
His specific area of interest is Cognitive psychology, where he studies Recall.
His Cognition study combines topics in areas such as Cognitive science and Cognitive reframing.
His work in Developmental psychology tackles topics such as Anxiety which are related to areas like Mood state, Distraction and Task.
As part of one scientific family, he deals mainly with the area of Working memory, narrowing it down to issues related to the Intervention, and often Mindfulness, Behavior change, Dysfunctional family, Food craving and Substance misuse.
His studies examine the connections between Craving and genetics, as well as such issues in Clinical psychology, with regards to Intrusiveness and Confirmatory factor analysis.
His most cited work include:
- Imaginary relish and exquisite torture: The elaborated intrusion theory of desire (546 citations)
- Bias in interpretation of ambiguous sentences related to threat in anxiety. (401 citations)
- Four Easy Pieces for Assessing the Usability of Multimodal Interaction: The Care Properties (253 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Cognition, Cognitive psychology, Craving, Developmental psychology and Human–computer interaction.
The study incorporates disciplines such as Intervention, Cognitive science and Affect in addition to Cognition.
His research integrates issues of Working memory, Social psychology and Task, Elementary cognitive task in his study of Cognitive psychology.
His Craving research integrates issues from Mental image and Clinical psychology.
His Developmental psychology research is multidisciplinary, incorporating elements of Thought suppression, Mind-wandering and Audiology.
His study on Usability is often connected to Interface, Expert system and USable as part of broader study in Human–computer interaction.
He most often published in these fields:
- Cognition (30.34%)
- Cognitive psychology (25.52%)
- Craving (22.76%)
What were the highlights of his more recent work (between 2017-2021)?
- Clinical psychology (10.34%)
- Motivational interviewing (3.45%)
- Physical therapy (4.14%)
In recent papers he was focusing on the following fields of study:
Jon May mainly investigates Clinical psychology, Motivational interviewing, Physical therapy, Applied psychology and Creativity.
His Clinical psychology research includes elements of Confirmatory factor analysis and Alcohol craving.
His biological study spans a wide range of topics, including Standard care, Distraction and Virtual reality.
His Applied psychology study combines topics from a wide range of disciplines, such as Athletes, Goal setting, Grit and Behavior change.
Jon May combines subjects such as Mental representation, Cognition and Mental image with his study of Mathematics education.
His Task study combines topics in areas such as Cognitive psychology, Recall and Session.
Between 2017 and 2021, his most popular works were:
- Functional imagery training versus motivational interviewing for weight loss: a randomised controlled trial of brief individual interventions for overweight and obesity (59 citations)
- Qualitative analysis of feedback on Functional Imagery Training: A novel motivational intervention for type 2 diabetes. (47 citations)
- The Soothing Sea: A Virtual Coastal Walk Can Reduce Experienced and Recollected Pain. (21 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Social psychology
- Psychotherapist
Jon May spends much of his time researching Physical therapy, Cold pressor test, Patient experience, Virtual reality and Standard care.
Many of his studies involve connections with topics such as Psychological intervention and Physical therapy.
A majority of his Cold pressor test research is a blend of other scientific areas, such as Acute pain and Distraction.
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.
