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.
Opening up knowledge systems for better responses to global environmental change
2013392 citationsSarah Cornell, Frans Berkhout et al.Environmental Science & Policyprofile →
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 W. Tuinstra'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 W. Tuinstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Tuinstra more than expected).
This network shows the impact of papers produced by W. Tuinstra. 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 W. Tuinstra. The network helps show where W. Tuinstra may publish in the future.
Co-authorship network of co-authors of W. Tuinstra
This figure shows the co-authorship network connecting the top 25 collaborators of W. Tuinstra.
A scholar is included among the top collaborators of W. Tuinstra 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 W. Tuinstra. W. Tuinstra is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Vasileiadou, Eleftheria & W. Tuinstra. (2014). Stakeholder Consultations: Mainstreaming Climate Policy in the Energy Directorate?. SSRN Electronic Journal.
Tuinstra, W. & Maarten A. Hajer. (2014). Deliberatie over klimaatkennis. Bestuurskunde. 23(2). 38–45.2 indexed citations
6.
Cornell, Sarah, Frans Berkhout, W. Tuinstra, et al.. (2013). Opening up knowledge systems for better responses to global environmental change. Environmental Science & Policy. 28. 60–70.392 indexed citations breakdown →
Tuinstra, W., Michael Berk, M. Hisschemöller, et al.. (2002). Climate OptiOns for the Long-term - final Report, Vol. A, COOL - synthesis report. Socio-Environmental Systems Modeling.5 indexed citations
12.
Tuinstra, W., et al.. (2002). Conclusions and lessons for participatory integrated assessment. VU Research Portal. 93–102.3 indexed citations
13.
Tuinstra, W., Michael Berk, M. Hisschemöller, et al.. (2001). Climate OptiOns for the Long-term (COOL) - Synthesis Report. Socio-Environmental Systems Modeling.3 indexed citations
14.
Tuinstra, W., et al.. (2001). Climate Options for the Long-Term (COOL) - European Dialogue.. Socio-Environmental Systems Modeling.1 indexed citations
15.
Tuinstra, W., et al.. (2001). COOL Europe; Report of Workshop 3: Options and key issues. Socio-Environmental Systems Modeling.1 indexed citations
16.
Andersson, Magnus & W. Tuinstra. (2001). Towards Strategic Visions; COOL Europe Workshop 4 Report. Socio-Environmental Systems Modeling.1 indexed citations
17.
Tuinstra, W., et al.. (1999). Using computer models in international negotiations. Environment Science and Policy for Sustainable Development. 41(9). 33–42.20 indexed citations
Berk, Michael, et al.. (1999). Climate Options for the Long term (COOL), Interim phase report.3 indexed citations
20.
Berk, Maurice, L. Hordijk, M. Hisschemöller, et al.. (1999). Climate Options for the Long Term (COOL). Socio-Environmental Systems Modeling.13 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.