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.
Mapping citizen science contributions to the UN sustainable development goals
2020246 citationsDilek Fraisl, Linda See et al.profile →
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 Uta Wehn'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 Uta Wehn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta Wehn more than expected).
This network shows the impact of papers produced by Uta Wehn. 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 Uta Wehn. The network helps show where Uta Wehn may publish in the future.
Co-authorship network of co-authors of Uta Wehn
This figure shows the co-authorship network connecting the top 25 collaborators of Uta Wehn.
A scholar is included among the top collaborators of Uta Wehn 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 Uta Wehn. Uta Wehn is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wehn, Uta, Joan Masó, Rianne Giesen, et al.. (2018). The Ground Truth 2.0 generic methodology tested in six citizen observatories. EGU General Assembly Conference Abstracts. 5259.1 indexed citations
7.
Moorthy, Inian, Steffen Fritz, Linda See, et al.. (2018). WeObserve: An Ecosystem of Citizen Observatories for Environmental Monitoring. IIASA PURE (International Institute of Applied Systems Analysis). 14026.3 indexed citations
Wehn, Uta, et al.. (2016). Article in press. Knowledge transfer dynamics and innovation: Behaviour, interactions and aggregated outcomes. Journal of Cleaner Production. 1.1 indexed citations
Lanfranchi, Vitaveska, Stuart N. Wrigley, Neil Ireson, Uta Wehn, & Fabio Ciravegna. (2014). Citizens' observatories for situation awareness in flooding. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).28 indexed citations
15.
Ballon, Pieter, Erik Bohlin, Simon Forge, et al.. (2006). Mapping the European Wireless Trends and Drivers: Synthesis Report. Chalmers Publication Library (Chalmers University of Technology).4 indexed citations
16.
Lindmark, Sven, et al.. (2006). Alternative Wireless Technologies Status, Trends and Policy Implications for Europe (*). Communications & stratégies. 62(62). 127–145.2 indexed citations
17.
Lindmark, Sven, Pieter Ballon, Colin Blackman, et al.. (2006). Alternative Wireless Technologies - Trends, Drivers and European Policy Implications. Chalmers Publication Library (Chalmers University of Technology). 127–145.2 indexed citations
18.
Wehn, Uta, et al.. (2003). Network Formation for Provision of Mobile Information and Entertainment Services.. Journal of the Association for Information Systems. 42.7 indexed citations
19.
Wehn, Uta. (2001). Crossing organisational boundaries : prerequisites for spatial data sharing in South Africa..1 indexed citations
20.
Mansell, Robin & Uta Wehn. (1998). Knowledge Societies: Information Technology for Sustainable Development. Oxford University Press eBooks.414 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.