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.
Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth
20011.3k citationsJacob Goldenberg, Barak Libai et al.profile →
Mine Your Own Business: Market-Structure Surveillance Through Text Mining
2012522 citationsOded Netzer, Ronen Feldman et al.Marketing Scienceprofile →
The Role of Hubs in the Adoption Process
2009478 citationsJacob Goldenberg, Sangman Han et al.Journal of Marketingprofile →
Revenue Generation Through Influencer Marketing
202351 citationsJacob Goldenberg, Andreas Lanz et al.Journal of Marketingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Jacob Goldenberg
Since
Specialization
Citations
This map shows the geographic impact of Jacob Goldenberg'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 Jacob Goldenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Goldenberg more than expected).
Fields of papers citing papers by Jacob Goldenberg
This network shows the impact of papers produced by Jacob Goldenberg. 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 Jacob Goldenberg. The network helps show where Jacob Goldenberg may publish in the future.
Co-authorship network of co-authors of Jacob Goldenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Goldenberg.
A scholar is included among the top collaborators of Jacob Goldenberg 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 Jacob Goldenberg. Jacob Goldenberg is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dover, Yaniv, Jacob Goldenberg, & Daniel Shapira. (2012). Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data. SSRN Electronic Journal.1 indexed citations
Goldenberg, Jacob, et al.. (2009). The Role of Hubs in the Adoption Processes. SSRN Electronic Journal.43 indexed citations
14.
Moldovan, Sarit, Amitava Chattopadhyay, & Jacob Goldenberg. (2008). The Different Roles of Product Originality and Usefulness in Generating Word of Mouth. RePEc: Research Papers in Economics.2 indexed citations
15.
Ein‐Gar, Danit, Jacob Goldenberg, & Lilach Sagiv. (2008). Taking Control: An Integrated Model of Dispositional Self-Control and Measure. SSRN Electronic Journal.9 indexed citations
Goldenberg, Jacob, Barak Libai, Eitan Muller, & Renana Peres. (2006). BLAZING SADDLES: THE EARLY AND MAINSTREAM MARKETS IN THE HIGH-TECH PRODUCT LIFE CYCLE. SSRN Electronic Journal.12 indexed citations
18.
Goldenberg, Jacob, et al.. (2003). Cómo dar en el clavo de la innovación. Harvard business review. 81(3). 96–104.5 indexed citations
19.
Goldenberg, Jacob, Donald R. Lehmann, & David Mazursky. (1999). The primacy of the idea itself as a predictor of new product success. Marketing Science Institute eBooks.18 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.