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.
Corporate Associations and Consumer Product Responses: The Moderating Role of Corporate Brand Dominance
2005560 citationsGuido Berens, Gerrit van Bruggen et al.Journal of Marketingprofile →
Virtual communities: A marketing perspective
2009420 citationsGerrit van Bruggen, Berend Wierenga et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Gerrit van Bruggen
Since
Specialization
Citations
This map shows the geographic impact of Gerrit van Bruggen'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 Gerrit van Bruggen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerrit van Bruggen more than expected).
Fields of papers citing papers by Gerrit van Bruggen
This network shows the impact of papers produced by Gerrit van Bruggen. 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 Gerrit van Bruggen. The network helps show where Gerrit van Bruggen may publish in the future.
Co-authorship network of co-authors of Gerrit van Bruggen
This figure shows the co-authorship network connecting the top 25 collaborators of Gerrit van Bruggen.
A scholar is included among the top collaborators of Gerrit van Bruggen 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 Gerrit van Bruggen. Gerrit van Bruggen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gelper, Sarah, Ralf van der Lans, & Gerrit van Bruggen. (2013). Viral Marketing via Online Social Networks: Competing for Your Friends' Attention. Rare & Special e-Zone (The Hong Kong University of Science and Technology).1 indexed citations
Lans, Ralf van der, Gerrit van Bruggen, Jehoshua Eliashberg, & Berend Wierenga. (2009). A Viral Branching Model for Predicting the Spread of Electronic Word-of-Mouth. Data Archiving and Networked Services (DANS).140 indexed citations
Kayandé, Ujwal, Arnaud De Bruyn, Gary L. Lilien, Arvind Rangaswamy, & Gerrit van Bruggen. (2006). How Feedback Can Improve Managerial Evaluations of Model-based Marketing Decision Support Systems. Data Archiving and Networked Services (DANS).
9.
Bruggen, Gerrit van, Martin Spann, Gary L. Lilien, & Bernd Skiera. (2006). Institutional Forecasting: The Performance of Thin Virtual Stock Markets. ERIM report series research in management.1 indexed citations
10.
Bruggen, Gerrit van & Berend Wierenga. (2005). When are CRM Systems Successful? The Perspective of the User and of the Organization. ERIM report series research in management.11 indexed citations
11.
Berens, Guido, et al.. (2002). The Added Value of Corporate Brands. RePub (Erasmus University, Rotterdam).1 indexed citations
12.
Berens, Guido & Gerrit van Bruggen. (2002). THE ADDED VALUE OF CORPORATE BRANDS: WHEN DO ORGANIZATIONAL ASSOCIATIONS AFFECT PRODUCT EVALUATIONS?.2 indexed citations
Bruggen, Gerrit van. (2001). Marketing, Informatie en Besluitvorming: een inter-organisationeel Perspectief. RePEc: Research Papers in Economics.2 indexed citations
15.
Lilien, Gary L., et al.. (2001). How and Why Decision Models Influence Marketing Resource Allocations. ERIM Report Series Research in Management.2 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.