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.
How open is innovation?
20101.7k citationsLinus Dahlander, David GannResearch Policyprofile →
Distant Search, Narrow Attention: How Crowding Alters Organizations’ Filtering of Suggestions in Crowdsourcing
2014357 citationsHenning Piezunka, Linus DahlanderAcademy of Management Journalprofile →
Ties That Last
2013276 citationsLinus Dahlander, Daniel A. McFarlandprofile →
How open is innovation? A retrospective and ideas forward
2021159 citationsLinus Dahlander, David Gann et al.Research Policyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Linus Dahlander
Since
Specialization
Citations
This map shows the geographic impact of Linus Dahlander'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 Linus Dahlander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linus Dahlander more than expected).
This network shows the impact of papers produced by Linus Dahlander. 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 Linus Dahlander. The network helps show where Linus Dahlander may publish in the future.
Co-authorship network of co-authors of Linus Dahlander
This figure shows the co-authorship network connecting the top 25 collaborators of Linus Dahlander.
A scholar is included among the top collaborators of Linus Dahlander 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 Linus Dahlander. Linus Dahlander is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dahlander, Linus, David Gann, & Martin W. Wallin. (2021). How open is innovation? A retrospective and ideas forward. Research Policy. 50(4). 104218–104218.159 indexed citations breakdown →
Wallin, Martin W. & Linus Dahlander. (2018). The barriers to recruiting and employing digital talent. Chalmers Research (Chalmers University of Technology).3 indexed citations
9.
Wallin, Martin W. & Linus Dahlander. (2018). The barriers to recruiting and employing digital talent: Observations based on a dozen industrial firms in Europe. Harvard business review.1 indexed citations
Criscuolo, Paola, Linus Dahlander, Thorsten Grohsjean, & Ammon Salter. (2017). The Biases That Keep Good R&D Projects from Getting Funded. Harvard business review.2 indexed citations
12.
Knippenberg, Daan van, Linus Dahlander, Martine R. Haas, & Gerard George. (2015). Information, Attention, and Decision Making. Academy of Management Journal. 58(3). 649–657.146 indexed citations
Dahlander, Linus, Lars Frederiksen, & Francesco Rullani. (2008). Online Communities and Open Innovation. Industry and Innovation. 15(2). 115–123.104 indexed citations
Dahlander, Linus & Maureen McKelvey. (2005). CREATING, SHARING AND TRANSFERRING KNOWLEDGE: The role of Geography, Institutions, Organizations. Technology Analysis and Strategic Management.
20.
Dahlander, Linus. (2005). Relationships Between Open Source Software Companies and Communities: Observations from Nordic Firms. SSRN Electronic Journal.16 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.