Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
New Product Diffusion Models in Marketing: A Review and Directions for Research
19911.6k citationsVijay Mahajan, Eitan Muller et al.profile →
Consumer Switching Costs: A Typology, Antecedents, and Consequences
This map shows the geographic impact of Vijay Mahajan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vijay Mahajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Mahajan more than expected).
This network shows the impact of papers produced by Vijay Mahajan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vijay Mahajan. The network helps show where Vijay Mahajan may publish in the future.
Co-authorship network of co-authors of Vijay Mahajan
This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Mahajan.
A scholar is included among the top collaborators of Vijay Mahajan based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Vijay Mahajan. Vijay Mahajan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Garg, Rajiv, et al.. (2017). Understanding Spillover Effects in Consumption of Rich Digital Media. Journal of the Association for Information Systems.
3.
Mahajan, Vijay. (2013). Understanding the Arab Consumer. Harvard business review. 91(5). 128–133.14 indexed citations
4.
Kashmiri, Saim & Vijay Mahajan. (2013). Beating the Recession Blues: Exploring the Link between Family Ownership, Strategic Marketing Behavior, and Firm Performance During Recessions. SSRN Electronic Journal.1 indexed citations
Chircu, Alina M. & Vijay Mahajan. (2007). Managing Electronic Commerce Transaction Costs for Customer Value. SSRN Electronic Journal.4 indexed citations
10.
Kalish, Shlomo, Vijay Mahajan, & Eitan Muller. (1996). Waterfall and Sprinkler New-Product Strategies in Competitive Global Markets. Journal of Product Innovation Management. 3(13). 260–261.2 indexed citations
11.
Mahajan, Vijay, et al.. (1994). Using information technology to reduce coordination breakdowns in customer support teams : technical working paper. Marketing Science Institute eBooks.1 indexed citations
Burke, Raymond R., et al.. (1990). The Impact of Product-Related Announcements on Consumer Purchase Intentions. SSRN Electronic Journal.5 indexed citations
14.
Mahajan, Vijay, Eitan Muller, & Frank M. Bass. (1990). New Product Diffusion Models in Marketing: A Review and Directions for Research. Journal of Marketing. 54(1). 1–26.530 indexed citations breakdown →
15.
DeSarbo, Wayne S. & Vijay Mahajan. (1984). Constrained Classification: The Use of a Priori Information in Cluster Analysis. SSRN Electronic Journal.2 indexed citations
Jain, Arun K., Vijay Mahajan, & Naresh K. Malhotra. (1979). Multiattribute Preference Models For Consumer Research: a Synthesis. ACR North American Advances.9 indexed citations
19.
Goodwin, Stephen A., et al.. (1979). On Consumer Dissatisfaction: Consider Arbitration As an Alternative Dispute Resolution Mechanism. ACR North American Advances.1 indexed citations
20.
Mahajan, Vijay. (1975). Computers in hospitals : a diffusion study. Xerox University Microfilms eBooks.3 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.