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.
More than Words: The Influence of Affective Content and Linguistic Style Matches in Online Reviews on Conversion Rates
2012547 citationsStephan Ludwig, Ko de Ruyter et al.Journal of Marketingprofile →
Uniting the Tribes: Using Text for Marketing Insight
2019505 citationsJonah Berger, Ashlee Humphreys et al.Journal of Marketingprofile →
Detecting, Preventing, and Mitigating Online Firestorms in Brand Communities
2019253 citationsDennis Herhausen, Stephan Ludwig et al.Journal of Marketingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Stephan Ludwig
Since
Specialization
Citations
This map shows the geographic impact of Stephan Ludwig'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 Stephan Ludwig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Ludwig more than expected).
This network shows the impact of papers produced by Stephan Ludwig. 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 Stephan Ludwig. The network helps show where Stephan Ludwig may publish in the future.
Co-authorship network of co-authors of Stephan Ludwig
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Ludwig.
A scholar is included among the top collaborators of Stephan Ludwig 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 Stephan Ludwig. Stephan Ludwig is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wulf, Jochen, Tobias Mettler, Stephan Ludwig, & Dennis Herhausen. (2019). A COMPUTATIONAL VISUAL ANALYSIS OF IMAGE DESIGN IN SOCIAL MEDIA CAR MODEL COMMUNITIES. Journal of the Association for Information Systems.2 indexed citations
10.
Herhausen, Dennis, et al.. (2019). Detecting, Preventing, and Mitigating Online Firestorms in Brand Communities. Journal of Marketing. 83(3). 1–21.253 indexed citations breakdown →
11.
Berger, Jonah, Ashlee Humphreys, Stephan Ludwig, et al.. (2019). Uniting the Tribes: Using Text for Marketing Insight. Journal of Marketing. 84(1). 1–25.505 indexed citations breakdown →
12.
Laer, Tom van, Jennifer Edson Escalas, Stephan Ludwig, & Ellis A. van den Hende. (2017). What happens in Vegas stays on TripAdvisor? Computerized text analysis of narrativity in online consumer reviews. City Research Online (City University London).1 indexed citations
Ludwig, Stephan, et al.. (2016). Analyzing Online Reviews Through the Lens of Speech Act Theory: Implications for Consumer Sentiment Analysis. Research Portal (King's College London).3 indexed citations
Ludwig, Stephan, Ko de Ruyter, Mike Friedman, et al.. (2012). More than Words: The Influence of Affective Content and Linguistic Style Matches in Online Reviews on Conversion Rates. Journal of Marketing. 77(1). 87–103.547 indexed citations breakdown →
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.