About
Donald R. Lehmann is a distinguished Professor of Marketing at Columbia University's Business School with a D-index of 84 in Business and Management and over 44,000 citations across 255 publications. Ranked 94th globally and 52nd nationally in the United States, his research spans marketing science, consumer behavior, and brand management with significant contributions to academic literature.
Lehmann's research interests focus on the intersection of Marketing (33.33% of his work), Industrial Organization (22.22%), and Law (22.22%). His work integrates diverse fields including Social Psychology, Knowledge Management, and Conceptual Frameworks. He has made significant contributions to understanding consumer decision-making, brand equity measurement, customer lifetime value, and innovation diffusion processes.
His publication record shows consistent scholarly output with influential works spanning multiple decades, demonstrating evolving research interests from foundational advertising effectiveness studies in the 1980s to more recent work on network effects in adoption processes. The meta-analytic approach characterizes much of his research methodology, contributing to robust theoretical frameworks in marketing science.
- 2025 - Research.com Business and Management in United States Leader Award
- 2024 - Research.com Business and Management in United States Leader Award
- 2023 - Research.com Business and Management in United States Leader Award
- 2022 - Research.com Business and Management in United States Leader Award
- 2015 - Fellow of the American Marketing Association
- 2009 - INFORMS Society for Marketing Science (ISMS) Fellow Award
- 1999 - AMA-Irwin-McGraw-Hill Distinguished Marketing Educator Award
Lehmann has established extensive collaborative networks, frequently working with leading scholars including Praveen Kopalle from Dartmouth College, Russell Winer from NYU, and John Farley from Dartmouth. His research has influenced both academic theory and practical marketing applications, particularly in brand valuation methodologies and customer equity frameworks.
