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.
The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles
2012562 citationsGeertje Schuitema, Jillian Anable 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 Geertje Schuitema
Since
Specialization
Citations
This map shows the geographic impact of Geertje Schuitema'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 Geertje Schuitema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geertje Schuitema more than expected).
Fields of papers citing papers by Geertje Schuitema
This network shows the impact of papers produced by Geertje Schuitema. 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 Geertje Schuitema. The network helps show where Geertje Schuitema may publish in the future.
Co-authorship network of co-authors of Geertje Schuitema
This figure shows the co-authorship network connecting the top 25 collaborators of Geertje Schuitema.
A scholar is included among the top collaborators of Geertje Schuitema 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 Geertje Schuitema. Geertje Schuitema is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schuitema, Geertje, et al.. (2014). Responsible Technology Acceptance: Model Development and Application to Consumer Acceptance of Smart Grid Technology. SSRN Electronic Journal.1 indexed citations
12.
Loebnitz, Natascha, Geertje Schuitema, & Klaus G. Grunert. (2013). The Impact of Food Abnormality on Consumers’ Taste, Health, Price, and Quality Expectations.1 indexed citations
13.
Groot, Judith de & Geertje Schuitema. (2012). How to Make the Unpopular Popular? Policy Characteristics, Social Norms and the Acceptability of Environmental Policies. SSRN Electronic Journal.2 indexed citations
14.
Morton, Craig, Jillian Anable, & Geertje Schuitema. (2011). Electric Vehicles: Will consumers get charged up?.10 indexed citations
15.
Schuitema, Geertje. (2010). Priceless policies : factors influencing the acceptability of transport pricing policies. Data Archiving and Networked Services (DANS).2 indexed citations
16.
Schuitema, Geertje, B.J. Ubbels, Linda Steg, & Erik T. Verhoef. (2008). Car users' acceptability of a kilometer charge. Data Archiving and Networked Services (DANS). 209–226.1 indexed citations
17.
Steg, Linda, Taede Tillema, Bert van Wee, & Geertje Schuitema. (2008). Firm's perception and acceptance of transport pricing. 250–269.1 indexed citations
Schuitema, Geertje & Linda Steg. (2005). Percepties van energiegebruik van huishoudelijke apparaten. University of Groningen research database (University of Groningen / Centre for Information Technology). 165–180.3 indexed citations
20.
Schuitema, Geertje. (2003). Human decision making and environmental perception..20 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.