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.
Exploring institutional drivers and barriers of the circular economy: A cross-regional comparison of China, the US, and Europe
2017447 citationsValtteri Ranta, Leena Aarikka‐Stenroos et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Saku Mäkinen'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 Saku Mäkinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saku Mäkinen more than expected).
This network shows the impact of papers produced by Saku Mäkinen. 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 Saku Mäkinen. The network helps show where Saku Mäkinen may publish in the future.
Co-authorship network of co-authors of Saku Mäkinen
This figure shows the co-authorship network connecting the top 25 collaborators of Saku Mäkinen.
A scholar is included among the top collaborators of Saku Mäkinen 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 Saku Mäkinen. Saku Mäkinen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Saari, Ulla A., Saku Mäkinen, & Christian M. Ringle. (2019). Exploring the Microfoundations of End-User Interests toward Co-Creating Renewable Energy Technology Innovations. SSRN Electronic Journal.1 indexed citations
Mäkinen, Saku & Ozgur Dedehayir. (2014). Forecasting competition between disruptive and sustaining technologies in business ecosystems. Portland International Conference on Management of Engineering and Technology. 2867–2871.1 indexed citations
11.
Mäkinen, Saku, et al.. (2014). Expectations and benefits of utilizing social media tools in new product development. Portland International Conference on Management of Engineering and Technology. 2280–2287.
12.
Mäkinen, Saku, et al.. (2013). Improving absorptive capacity in product development with online collaboration tools. Portland International Conference on Management of Engineering and Technology. 235–243.2 indexed citations
13.
Mäkinen, Saku & Matti Vilkko. (2012). Anticipating organizational technological exploration and exploitation dynamics under varying knowledge usage rates. Portland International Conference on Management of Engineering and Technology. 195–200.
14.
Mäkinen, Saku, et al.. (2011). Inhibitors of utilization of disruptive innovations in incumbent organizations. Portland International Conference on Management of Engineering and Technology. 1–7.2 indexed citations
15.
Kanniainen, Juho, Saku Mäkinen, Robert Piché, & Alok K. Chakrabarti. (2011). Forecasting the Diffusion of Innovation: A Stochastic Bass Model with Log-Normal and Mean-Reverting Error Process. SSRN Electronic Journal.1 indexed citations
16.
Seppänen, Marko, et al.. (2011). User experience in complex systems: crafting a conceptual framework. 333–346.5 indexed citations
Mäkinen, Saku & Marko Seppänen. (2008). Assessing Business Model Concepts with Taxonomical Research Criteria - A Preliminary Study. SSRN Electronic Journal.4 indexed citations
19.
Seppänen, Marko & Saku Mäkinen. (2007). Towards Classification of Resources for the Business Model Concept. SSRN Electronic Journal.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.