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 sociology of expectations in science and technology
20061.2k citationsMads Borup, Nik Brown et al.Technology Analysis and Strategic Managementprofile →
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 Mads Borup'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 Mads Borup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mads Borup more than expected).
This network shows the impact of papers produced by Mads Borup. 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 Mads Borup. The network helps show where Mads Borup may publish in the future.
Co-authorship network of co-authors of Mads Borup
This figure shows the co-authorship network connecting the top 25 collaborators of Mads Borup.
A scholar is included among the top collaborators of Mads Borup 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 Mads Borup. Mads Borup is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Borup, Mads, Antje Klitkou, Maj Munch Andersen, et al.. (2013). Indicators of energy innovation systems and their dynamics: A review of current practice and research in the field. BIBSYS Brage (BIBSYS (Norway)).3 indexed citations
Borup, Mads, Per Dannemand Andersen, Birgitte Gregersen, & Anne Nygaard Tanner. (2009). Ny Energi og Innovation i Danmark. VBN Forskningsportal (Aalborg Universitet).5 indexed citations
9.
Tojo, Naoko, Tareq Emtairah, Åke Thidell, et al.. (2008). Innovation systems and environmental technologies. Cross-sectoral analysis and policy implications. Lund University Publications (Lund University).
10.
Borup, Mads, Birgitte Gregersen, & Anne Nygaard Tanner. (2007). Development Dynamics and Conditions for New Energy Technology seen in an Innovation System Perspective. VBN Forskningsportal (Aalborg Universitet).3 indexed citations
11.
Andersen, Per Dannemand, et al.. (2007). Energy innovation and competitiveness indicators. A contribution to Work Package 8 of the MEI project.1 indexed citations
Andersen, Per Dannemand, et al.. (2007). Foresight in Nordic innovation systems.13 indexed citations
14.
Borup, Mads, Nik Brown, Kornelia Konrad, & Harro van Lente. (2006). The sociology of expectations in science and technology. Technology Analysis and Strategic Management. 18(3-4). 285–298.1201 indexed citations breakdown →
15.
Borup, Mads. (2006). Final report on technology foresight method. NEEDS, deliverable D 2.1 - RS 1a: Life cycle approaches to assess emerging energy technologies.3 indexed citations
16.
Andersen, Per Dannemand & Mads Borup. (2006). Strategy processes and foresight in research councils and national research programmes.3 indexed citations
Wehnert, Timon, et al.. (2004). EurEnDel. Technology and social visions for Europe's energy future. A Europe-wide Delphi study. Final report.10 indexed citations
19.
Borup, Mads. (2003). Green Technology Foresight as Instrument in Governance for Sustainability. 376–398.4 indexed citations
20.
Jørgensen, Michael Søgaard, et al.. (1996). Inventory on cleaner production education and training.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.