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.
Product–Service Systems (PSS) business models and tactics – a systematic literature review
2014583 citationsVinit Parida, Daniel Örtqvist 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 Daniel Örtqvist
Since
Specialization
Citations
This map shows the geographic impact of Daniel Örtqvist'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 Daniel Örtqvist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Örtqvist more than expected).
This network shows the impact of papers produced by Daniel Örtqvist. 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 Daniel Örtqvist. The network helps show where Daniel Örtqvist may publish in the future.
Co-authorship network of co-authors of Daniel Örtqvist
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Örtqvist.
A scholar is included among the top collaborators of Daniel Örtqvist 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 Daniel Örtqvist. Daniel Örtqvist is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ericson, Åsa, et al.. (2013). Innovation systems in non-metropolitan regions : A live case journey. KTH Publication Database DiVA (KTH Royal Institute of Technology). 285–301.1 indexed citations
5.
Ylinenpää, Håkan, Jukka Teräs, & Daniel Örtqvist. (2013). Innovation networks in different industrial settings : a longitudinal study of northern Sweden and northern Finland. KTH Publication Database DiVA (KTH Royal Institute of Technology).1 indexed citations
Drnovšek, Mateja, Daniel Örtqvist, & Joakim Wincent. (2010). The Effectiveness of Coping Strategies Used by Entrepreneurs and Their Impact on Personal Well-Being and Venture Performance. Zbornik radova Ekonomskog fakulteta u Rijeci. 28(2). 193–220.29 indexed citations
Pesämaa, Ossi, Daniel Örtqvist, & Joseph F. Hair. (2007). It’s all about Trust and Loyalty: Partner Selection Mechanisms in Tourism Networks. RePEc: Research Papers in Economics. 1(2). 12–18.6 indexed citations
14.
Örtqvist, Daniel, Mateja Drnovšek, & Joakim Wincent. (2007). The influence of coping strategies on new venture performance. KTH Publication Database DiVA (KTH Royal Institute of Technology). 227–240.3 indexed citations
Örtqvist, Daniel. (2007). Entrepreneur role stress : essays on the travails of the entrepreneur. KTH Publication Database DiVA (KTH Royal Institute of Technology).2 indexed citations
17.
Wincent, Joakim & Daniel Örtqvist. (2006). Analyzing the structure of entrepreneur role stress. Journal of business & entrepreneurship. 18(2). 1–21.7 indexed citations
18.
Wincent, Joakim, Sergey Anokhin, & Daniel Örtqvist. (2006). WATCHING EYES: FRIEND OR FOE? NETWORK BOARD MONITORING AND INNOVATIVE PERFORMANCE OF THE MEMBER FIRMS (SUMMARY). Frontiers of entrepreneurship research. 26(15). 10.1 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.