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.
Explaining intention to use mobile chat services: moderating effects of gender
2005501 citationsHerbjørn Nysveen, Per E. Pedersen et al.Journal of Consumer 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 Per E. Pedersen
Since
Specialization
Citations
This map shows the geographic impact of Per E. Pedersen'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 Per E. Pedersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Per E. Pedersen more than expected).
This network shows the impact of papers produced by Per E. Pedersen. 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 Per E. Pedersen. The network helps show where Per E. Pedersen may publish in the future.
Co-authorship network of co-authors of Per E. Pedersen
This figure shows the co-authorship network connecting the top 25 collaborators of Per E. Pedersen.
A scholar is included among the top collaborators of Per E. Pedersen 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 Per E. Pedersen. Per E. Pedersen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Skard, Siv, Herbjørn Nysveen, & Per E. Pedersen. (2011). Brand and customer experience in service organizations : literature review and brand experience construct validation. Duo Research Archive (University of Oslo).14 indexed citations
7.
Pedersen, Per E. & Herbjørn Nysveen. (2010). Service innovation challenges at the policy, industry, and firm level : a qualitative enquiry into the service innovation system. Duo Research Archive (University of Oslo).4 indexed citations
Pedersen, Per E. & Herbjørn Nysveen. (2009). The effects of variety and bundling on choice and satisfaction: Applications to new telecommunication and media services. Duo Research Archive (University of Oslo).1 indexed citations
10.
Nysveen, Herbjørn & Per E. Pedersen. (2007). Service innovation methodologies I : what can we learn from service innovation and new service development research? : report no 1 from the TIPVIS-project. Duo Research Archive (University of Oslo).3 indexed citations
Nysveen, Herbjørn, Per E. Pedersen, & Helge Thorbjørnsen. (2005). Explaining intention to use mobile chat services: moderating effects of gender. Journal of Consumer Marketing. 22(5). 247–256.501 indexed citations breakdown →
Nysveen, Herbjørn, Per E. Pedersen, Helge Thorbjørnsen, & Pierre Berthon. (2004). Mobilizing the Brand. Journal of Service Research. 7(3). 257–276.146 indexed citations
17.
Nysveen, Herbjørn & Per E. Pedersen. (2003). Usefulness and Self-Expressiveness: Extending TAM to Explain the Adoption of a Mobile Parking Service. Journal of the Association for Information Systems. 64.72 indexed citations
Methlie, Leif B. & Per E. Pedersen. (2002). A Taxonomy of Intermediary Integration Strategies in Online Markets. Journal of the Association for Information Systems. 1.13 indexed citations
20.
Pedersen, Per E.. (2002). The adoption of text messaging services among Norwegian teens : development and test of an extended adoption model. Duo Research Archive (University of Oslo).19 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.