What is he best known for?
The fields of study he is best known for:
- Statistics
- Internal medicine
- Marketing
His primary scientific interests are in Advertising, Marketing, Econometrics, Segmentation and Data mining.
His Advertising study incorporates themes from Eye tracking, Feature, Eye movement and Bayesian inference.
His work on Consumer behaviour as part of his general Marketing study is frequently connected to Agricultural policy, thereby bridging the divide between different branches of science.
His Econometrics study combines topics from a wide range of disciplines, such as Finite mixture, Mathematical economics, Mixed logit, Multinomial logistic regression and Sample.
His Segmentation research is multidisciplinary, relying on both Preference, Conjoint analysis, Fuzzy logic, Monte Carlo method and Synthetic data.
Michel Wedel focuses mostly in the field of Data mining, narrowing it down to topics relating to Market segmentation and, in certain cases, Cluster analysis, Unobservable and Spatial analysis.
His most cited work include:
- Market Segmentation: Conceptual and Methodological Foundations (1597 citations)
- A CROSS -NATIONAL INVESTIGATION INTO THE INDIVIDUAL AND NATIONAL CULTURAL ANTECEDENTS OF CONSUMER INNOVATIVENESS (958 citations)
- Attention Capture and Transfer in Advertising: Brand, Pictorial, and Text-Size Effects: (538 citations)
What are the main themes of his work throughout his whole career to date?
Michel Wedel focuses on Econometrics, Marketing, Statistics, Segmentation and Advertising.
His Econometrics study also includes
- Mixture model which connect with Expectation–maximization algorithm,
- Monte Carlo method and related Multidimensional scaling.
He works in the field of Marketing, namely Consumer behaviour.
His Latent class model, Count data and Multivariate statistics study in the realm of Statistics connects with subjects such as Factor regression model.
His Segmentation research includes themes of Market segmentation, Data mining and Conjoint analysis.
His studies in Advertising integrate themes in fields like Eye tracking and Visual attention.
He most often published in these fields:
- Econometrics (28.89%)
- Marketing (17.53%)
- Statistics (16.79%)
What were the highlights of his more recent work (between 2007-2021)?
- Advertising (11.85%)
- Eye tracking (7.90%)
- Eye movement (5.93%)
In recent papers he was focusing on the following fields of study:
Michel Wedel mostly deals with Advertising, Eye tracking, Eye movement, Marketing and Artificial intelligence.
His work in Advertising addresses subjects such as Identification, which are connected to disciplines such as Statistics.
The Eye tracking study combines topics in areas such as Moment, Human–computer interaction, Facial expression, Consumer behaviour and Product.
His Eye movement research includes elements of Cognitive psychology and Hidden Markov model.
His research on Marketing often connects related areas such as Visual attention.
The various areas that he examines in his Artificial intelligence study include Machine learning and Computer vision.
Between 2007 and 2021, his most popular works were:
- THE STOPPING POWER OF ADVERTISING: MEASURES AND EFFECTS OF VISUAL COMPLEXITY (370 citations)
- A Review of Eye-Tracking Research in Marketing (283 citations)
- Marketing Analytics for Data-Rich Environments (274 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Internal medicine
- Marketing
Michel Wedel mainly focuses on Advertising, Eye tracking, Marketing, Eye movement and Artificial intelligence.
He interconnects Point of sale, Feature and Product in the investigation of issues within Advertising.
The study incorporates disciplines such as Online advertising, Bias correction, Raising, Consumer behaviour and Moment in addition to Eye tracking.
His study in Consumer behaviour is interdisciplinary in nature, drawing from both Control, Cognitive psychology and Sample.
Michel Wedel has researched Marketing in several fields, including Visual search, Component and Salience.
His Promotion study combines topics in areas such as Endogeneity, Econometrics, Probit model and Context.
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