D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 70 Citations 32,264 177 World Ranking 403 National Ranking 203

Research.com Recognitions

Awards & Achievements

1980 - Fellow of the American Statistical Association (ASA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Marketing
  • Artificial intelligence

His primary areas of investigation include Conjoint analysis, Marketing, Conjoint analysis, Marketing research and Data mining. His research in Conjoint analysis intersects with topics in Choice based conjoint, Preference measurement, Industrial engineering and Data collection. His Choice based conjoint research focuses on Measure and how it connects with Econometrics.

His study looks at the relationship between Preference measurement and fields such as Conjoint model, as well as how they intersect with chemical problems. Many of his studies on Marketing involve topics that are commonly interrelated, such as Test. His Conjoint analysis research is multidisciplinary, incorporating perspectives in Product design and Market segmentation.

His most cited work include:

  • Conjoint Analysis in Consumer Research: Issues and Outlook (2615 citations)
  • Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice: (2060 citations)
  • Statistical Principles in Experimental Design (1678 citations)

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

The scientist’s investigation covers issues in Marketing, Econometrics, Marketing research, Conjoint analysis and Data mining. His studies in Econometrics integrate themes in fields like Statistics and Conjoint analysis. His research combines Management science and Marketing research.

Paul E. Green has researched Conjoint analysis in several fields, including Market research and Artificial intelligence. He interconnects Multidimensional scaling and Cluster analysis in the investigation of issues within Data mining. Paul E. Green combines subjects such as Product design and Segmentation with his study of Market segmentation.

He most often published in these fields:

  • Marketing (21.37%)
  • Econometrics (18.15%)
  • Marketing research (18.15%)

What were the highlights of his more recent work (between 1998-2016)?

  • Marketing research (18.15%)
  • Marketing (21.37%)
  • Conjoint analysis (14.52%)

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

Paul E. Green mostly deals with Marketing research, Marketing, Conjoint analysis, Market research and Econometrics. His Marketing research includes elements of Mathematics education and Congruence. His Conjoint analysis research is multidisciplinary, relying on both Customer relationship management, Robustness and Section.

His research investigates the connection between Market research and topics such as Marketing mix that intersect with problems in Service. His Econometrics research incorporates themes from Univariate, Market segmentation, Statistics and Conjoint analysis. His study in the field of Choice based conjoint also crosses realms of Attribute level and Price level.

Between 1998 and 2016, his most popular works were:

  • Thirty Years of Conjoint Analysis: Reflections and Prospects (650 citations)
  • Multidimensional scaling and related techniques in marketing analysis (181 citations)
  • K-modes Clustering (178 citations)

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

  • Statistics
  • Artificial intelligence
  • Marketing

His main research concerns Marketing, Marketing research, Market research, Conjoint analysis and Categorical variable. His Marketing research research incorporates elements of Product, Market segmentation, Service and Operations research. His Service study integrates concerns from other disciplines, such as New product development and Advertising.

His Market research study combines topics in areas such as Choice based conjoint, Conjoint analysis, Fractional factorial design and Customer satisfaction. Paul E. Green combines Conjoint analysis and Public relations in his research. His Categorical variable study incorporates themes from Latent class model, Estimation, Bayes' theorem and Process.

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

Conjoint Analysis in Consumer Research: Issues and Outlook

Paul E. Green;V. Srinivasan.
Journal of Consumer Research (1978)

4483 Citations

Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice:

Paul E. Green;V. Srinivasan.
Journal of Marketing (1990)

3438 Citations

Statistical Principles in Experimental Design

Paul E. Green;B. J. Winer;Donald R. Brown;Kenneth M. Michels.
Journal of Marketing Research (1992)

2728 Citations

Analyzing multivariate data

Paul E. Green;J. Douglas Carroll.
(1978)

2227 Citations

Conjoint Measurement for Quantifying Judgmental Data

Paul E. Green;Vithala R. Rao.
Journal of Marketing Research (1971)

2039 Citations

Thirty Years of Conjoint Analysis: Reflections and Prospects

Paul E. Green;Abba M. Krieger;Yoram Jerry Wind.
(2001)

1325 Citations

Research for Marketing Decisions

Bruce L. Stern;Paul E. Green;Donald S. Tull;Gerald Albaum.
Journal of Marketing Research (1978)

839 Citations

Segmenting Markets with Conjoint Analysis

Paul E. Green;Abba M. Krieger.
Journal of Marketing (1991)

687 Citations

Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs

Peter J. Lenk;Wayne S. DeSarbo;Paul E. Green;Martin R. Young.
Marketing Science (1996)

633 Citations

Applied multidimensional scaling : a comparison of approaches and algorithms

Paul E. Green;Vithala R. Rao.
(1972)

553 Citations

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