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 the governance and politics of transformations towards sustainability
2016509 citationsJames Patterson, Karsten Schulz et al.Environmental Innovation and Societal Transitionsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Karsten Schulz
Since
Specialization
Citations
This map shows the geographic impact of Karsten Schulz'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 Karsten Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Schulz more than expected).
This network shows the impact of papers produced by Karsten Schulz. 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 Karsten Schulz. The network helps show where Karsten Schulz may publish in the future.
Co-authorship network of co-authors of Karsten Schulz
This figure shows the co-authorship network connecting the top 25 collaborators of Karsten Schulz.
A scholar is included among the top collaborators of Karsten Schulz 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 Karsten Schulz. Karsten Schulz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Garard, Jennifer, et al.. (2017). Innovative Participatory Research Methods in Earth System Governance. Socio-Environmental Systems Modeling. 12(12). 76–80.2 indexed citations
6.
Patterson, James, Karsten Schulz, Joost Vervoort, et al.. (2016). Exploring the governance and politics of transformations towards sustainability. Environmental Innovation and Societal Transitions. 24. 1–16.509 indexed citations breakdown →
7.
Zagami, Jason, et al.. (2015). Girls and computing: Female participation in computing in schools. Swinburne Research Bank (Swinburne University of Technology). 30(2). 1–14.17 indexed citations
8.
Schulz, Karsten & Rapti Siriwardane-de Zoysa. (2015). Normativity and the politics of transformative adaptation.1 indexed citations
9.
Eguavoen, Irit, et al.. (2013). Political dimensions of climate change adaption: Conceptual reflections and African examples = Dimensions politiques de l'adaptation au changement climatique. Econstor (Econstor).2 indexed citations
10.
Guzmán, et al.. (2008). Critical issues in developing and following community based participatory research principles. 47–62.392 indexed citations
11.
Priesack, Eckart, Heye Bogena, Peter Haschberger, et al.. (2007). TERENO - A new Network of Terrestrial Observatories for Environmental Research. elib (German Aerospace Center). 2007.2 indexed citations
Sadiq, Shazia, Maria E. Orłowska, & Karsten Schulz. (2005). When workflows will not deliver: The case of contradicting work practice. Queensland's institutional digital repository (The University of Queensland). 1. 69–84.17 indexed citations
15.
Sadiq, Shazia, Maria E. Orłowska, & Karsten Schulz. (2004). Collaborative business process management through harmonized messaging. University of Zagreb University Computing Centre (SRCE). 28(8). 151–164.
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.