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.
Fifteen Years of Research on Business Model Innovation
20161.2k citationsNicolai J. Foss, Tina SaebiJournal of Managementprofile →
Social Entrepreneurship Research: Past Achievements and Future Promises
2018631 citationsTina Saebi, Nicolai J. Foss et al.Journal of Managementprofile →
Business models and business model innovation: Between wicked and paradigmatic problems
2017422 citationsNicolai J. Foss, Tina SaebiLong Range Planningprofile →
What Drives Business Model Adaptation? The Impact of Opportunities, Threats and Strategic Orientation
2016344 citationsTina Saebi, Lasse B. Lien et al.Long Range Planningprofile →
Business models for open innovation: Matching heterogeneous open innovation strategies with business model dimensions
2014338 citationsTina Saebi, Nicolai J. Fossprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Tina Saebi'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 Tina Saebi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Saebi more than expected).
This network shows the impact of papers produced by Tina Saebi. 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 Tina Saebi. The network helps show where Tina Saebi may publish in the future.
Co-authorship network of co-authors of Tina Saebi
This figure shows the co-authorship network connecting the top 25 collaborators of Tina Saebi.
A scholar is included among the top collaborators of Tina Saebi 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 Tina Saebi. Tina Saebi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Saebi, Tina, Nicolai J. Foss, & Stefan Linder. (2018). Social Entrepreneurship Research: Past Achievements and Future Promises. Journal of Management. 45(1). 70–95.631 indexed citations breakdown →
7.
Foss, Nicolai J. & Tina Saebi. (2017). Business models and business model innovation: Between wicked and paradigmatic problems. Long Range Planning. 51(1). 9–21.422 indexed citations breakdown →
Saebi, Tina, Lasse B. Lien, & Nicolai J. Foss. (2016). What Drives Business Model Adaptation? The Impact of Opportunities, Threats and Strategic Orientation. Long Range Planning. 50(5). 567–581.344 indexed citations breakdown →
Saebi, Tina. (2014). Business Model Evolution, Adaptation or Innovation? A Contingency Framework on Business Model Dynamics, Environmental Change and Dynamic Capabilities. SSRN Electronic Journal.3 indexed citations
Buligescu, Bianca, Hugo Hollanders, & Tina Saebi. (2012). Social attitudes to innovation and entrepreneurship. UNU Collections (United Nations University).1 indexed citations
Duysters, Geert, et al.. (2010). Alliance capability as an emerging theme : past, present, future. TU/e Research Portal. 57–76.2 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.