D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Social Sciences and Humanities D-index 40 Citations 10,287 72 World Ranking 2169 National Ranking 1112

Research.com Recognitions

Awards & Achievements

2014 - INFORMS Society for Marketing Science Long Term Impact Award (LTI Award)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Marketing
  • Internal medicine

His primary areas of investigation include Marketing, Econometrics, Sales promotion, Conjoint analysis and Advertising. His Marketing research study in the realm of Marketing connects with subjects such as National study. His work in Marketing research addresses subjects such as Marketing management, which are connected to disciplines such as Marketing strategy.

As part of his studies on Econometrics, he often connects relevant areas like Statistics. His Conjoint analysis research includes elements of Information retrieval and Data collection. In his research, Order and Relative price is intimately related to Service quality, which falls under the overarching field of Advertising.

His most cited work include:

  • A model of consumer perceptions and store loyalty intentions for a supermarket retailer (741 citations)
  • Commercial Use of Conjoint Analysis: An Update: (646 citations)
  • Commercial Use of Conjoint Analysis: A Survey: (554 citations)

What are the main themes of his work throughout his whole career to date?

Dick R. Wittink focuses on Marketing, Econometrics, Statistics, Conjoint analysis and Marketing research. Dick R. Wittink usually deals with Marketing and limits it to topics linked to Advertising and Service quality. His study in Econometrics is interdisciplinary in nature, drawing from both Regression analysis and Scanner.

His work on Range as part of his general Statistics study is frequently connected to Extant taxon, Substitution and Single product, thereby bridging the divide between different branches of science. His research in Conjoint analysis intersects with topics in Machine learning and Artificial intelligence. His research investigates the connection between Marketing research and topics such as Marketing strategy that intersect with issues in Marketing management and Competitor analysis.

He most often published in these fields:

  • Marketing (43.36%)
  • Econometrics (35.40%)
  • Statistics (20.35%)

What were the highlights of his more recent work (between 2002-2016)?

  • Marketing (43.36%)
  • Physical therapy (6.19%)
  • Patient satisfaction (5.31%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Marketing, Physical therapy, Patient satisfaction, Sales promotion and Marketing research. His research combines Econometric model and Marketing. His study looks at the relationship between Physical therapy and fields such as Osteoporosis, as well as how they intersect with chemical problems.

Rheumatology is closely connected to Adverse effect in his research, which is encompassed under the umbrella topic of Patient satisfaction. In his study, Consistency is strongly linked to Publication, which falls under the umbrella field of Marketing research. The various areas that Dick R. Wittink examines in his Econometrics study include Regression analysis, Brand switching and Unit price.

Between 2002 and 2016, his most popular works were:

  • Customer satisfaction and retail sales performance: an empirical investigation (281 citations)
  • Is 75% of the sales promotion bump due to brand switching? No, only 33% is (180 citations)
  • Decomposing the Sales Promotion Bump with Store Data (179 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Marketing
  • Regression analysis

His main research concerns Marketing, Patient satisfaction, Physical therapy, Adverse effect and Osteoarthritis. Marketing is closely attributed to Econometrics in his work. Dick R. Wittink combines subjects such as Competition, Price discount, Regression analysis, Polynomial regression and Unit price with his study of Econometrics.

His biological study spans a wide range of topics, including Bone density, Osteoporosis, Bone growth and Pediatrics. While the research belongs to areas of Adverse effect, Dick R. Wittink spends his time largely on the problem of Rheumatology, intersecting his research to questions surrounding Surgery and Etanercept. His study in the fields of Arthropathy under the domain of Osteoarthritis overlaps with other disciplines such as Drug, Arthritis, Lower risk and Opioid.

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.

Best Publications

A model of consumer perceptions and store loyalty intentions for a supermarket retailer

Niren Sirohi;Edward W. McLaughlin;Dick R. Wittink.
Journal of Retailing (1998)

1512 Citations

Commercial Use of Conjoint Analysis: An Update:

Dick R. Wittink;Philippe Cattin.
Journal of Marketing (1989)

1010 Citations

Commercial Use of Conjoint Analysis: A Survey:

Philippe Cattin;Dick R. Wittink.
Journal of Marketing (1982)

856 Citations

Commercial use of conjoint analysis in Europe: Results and critical reflections

Dick R. Wittink;Marco Vriens;Wim Burhenne.
International Journal of Research in Marketing (1994)

718 Citations

Customer satisfaction and retail sales performance: an empirical investigation

Miguel I. Gómez;Edward W. McLaughlin;Dick R. Wittink.
Journal of Retailing (2004)

570 Citations

Building Models for Marketing Decisions

Peter S.H. Leeflang;Dick R. Wittink.
(2000)

569 Citations

The Effectiveness of Alternative Preference Elicitation Procedures in Predicting Choice

Joel Huber;Dick R. Wittink;John A. Fiedler;Richard Miller.
Journal of Marketing Research (1993)

332 Citations

Is 75% of the sales promotion bump due to brand switching? No, only 33% is

Harald J. van Heerde;Sachin Gupta;Dick R. Wittink.
Journal of Marketing Research (2003)

300 Citations

The estimation of pre- and postpromotion dips with store-level scanner data

Harald J. van Heerde;Peter S.H. Leeflang;Dick R. Wittink.
Journal of Marketing Research (2000)

299 Citations

Decomposing the Sales Promotion Bump with Store Data

Harald J. van Heerde;Peter S. H. Leeflang;Dick R. Wittink.
Marketing Science (2004)

277 Citations

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