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.
Online Shopping Motives during the COVID-19 Pandemic—Lessons from the Crisis
2020251 citationsJúlia Koch, Gerhard Schewe et al.Sustainabilityprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Gerhard Schewe
Since
Specialization
Citations
This map shows the geographic impact of Gerhard Schewe'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 Gerhard Schewe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Schewe more than expected).
This network shows the impact of papers produced by Gerhard Schewe. 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 Gerhard Schewe. The network helps show where Gerhard Schewe may publish in the future.
Co-authorship network of co-authors of Gerhard Schewe
This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Schewe.
A scholar is included among the top collaborators of Gerhard Schewe 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 Gerhard Schewe. Gerhard Schewe is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Westmattelmann, Daniel, et al.. (2021). Exploring the adoption of mixed-reality sport platforms: A qualitative study on Zwift. Journal of the Association for Information Systems.7 indexed citations
9.
Westmattelmann, Daniel, et al.. (2021). Ehealth apps in workplace health management - An analysis of determinants and effects on employee health. Journal of the Association for Information Systems.1 indexed citations
Westmattelmann, Daniel, et al.. (2020). Antecedents of Mobile Payment Adoption: A Customer Group-Specific Analysis in Mass-Attended Hospitality. Journal of the Association for Information Systems.4 indexed citations
12.
Koch, Júlia, et al.. (2020). Online Shopping Motives during the COVID-19 Pandemic—Lessons from the Crisis. Sustainability. 12(24). 10247–10247.251 indexed citations breakdown →
13.
Schewe, Gerhard, et al.. (2020). Are we Ready for Artificially Intelligent Leaders? A Comparative Analysis of Employee Perceptions Regarding Artificially Intelligent and Human Supervisors. Journal of the Association for Information Systems.1 indexed citations
14.
Westmattelmann, Daniel, et al.. (2019). Determinants and Barriers of Adopting Robo-Advisory Services. Journal of the Association for Information Systems.18 indexed citations
15.
Schewe, Gerhard, et al.. (2019). PAVING THE WAY FOR THE ADOPTION OF AUTONOMOUS DRIVING: INSTITUTION-BASED TRUST AS A CRITICAL SUCCESS FACTOR. Journal of the Association for Information Systems.5 indexed citations
16.
Nienaber, Ann‐Marie & Gerhard Schewe. (2012). What’s important for trustful communication with customers?. Pure (Coventry University). 37(2). 1–21.1 indexed citations
17.
Schewe, Gerhard & Ann‐Marie Nienaber. (2011). Explikation von implizitem Wissen. 61.
18.
Schewe, Gerhard. (1998). Strategie und Struktur : eine Re-Analyse empirischer Befunde und Nicht-Befunde. Mohr Siebeck eBooks.6 indexed citations
19.
Schewe, Gerhard. (1991). Key factors of successful innovation management. RePEc: Research Papers in Economics.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.