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 Process of Entrepreneurial Learning: A Conceptual Framework
2005902 citationsDiamanto PolitisEntrepreneurship Theory and Practiceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Diamanto Politis
Since
Specialization
Citations
This map shows the geographic impact of Diamanto Politis'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 Diamanto Politis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diamanto Politis more than expected).
Fields of papers citing papers by Diamanto Politis
This network shows the impact of papers produced by Diamanto Politis. 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 Diamanto Politis. The network helps show where Diamanto Politis may publish in the future.
Co-authorship network of co-authors of Diamanto Politis
This figure shows the co-authorship network connecting the top 25 collaborators of Diamanto Politis.
A scholar is included among the top collaborators of Diamanto Politis 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 Diamanto Politis. Diamanto Politis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gabrielsson, Jonas, et al.. (2017). Entrepreneurial learning and innovation. International Journal of Entrepreneurial Behaviour & Research. 23(3). 381–405.49 indexed citations
Hägg, Gustav & Diamanto Politis. (2015). Mentorship in entrepreneurship education : Examining conditions for entrepreneurial learning among students. Lund University Publications (Lund University).3 indexed citations
9.
Gabrielsson, Jonas, Åsa Lindholm Dahlstrand, & Diamanto Politis. (2014). Sustainable High-Growth Entrepreneurship. The International Journal of Entrepreneurship and Innovation. 15(1). 29–40.10 indexed citations
Politis, Diamanto, Joakim Winborg, & Åsa Lindholm Dahlstrand. (2008). Exploring the mindset of university entrepreneurs : Do they have a different resource logic?. Frontiers of entrepreneurship research. 28(4). 14.3 indexed citations
Gabrielsson, Jonas & Diamanto Politis. (2007). The impact of ownership and board governance on firm-level entrepreneurship in small technology based firms. Lund University Publications (Lund University).3 indexed citations
Gabrielsson, Jonas & Diamanto Politis. (2006). Board control and corporate innovation: an empirical study of small technology-based firms. RePEc: Research Papers in Economics.3 indexed citations
18.
Politis, Diamanto. (2005). Determinants of exploration and exploitation in the process of entrepreneurial learning. SSRN Electronic Journal. 16–29.1 indexed citations
19.
Politis, Diamanto. (2005). The Process of Entrepreneurial Learning: A Conceptual Framework. SSRN Electronic Journal.10 indexed citations
20.
Politis, Diamanto. (2005). The Process of Entrepreneurial Learning: A Conceptual Framework. Entrepreneurship Theory and Practice. 29(4). 399–424.902 indexed citations breakdown →
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.