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.
Can Protection Motivation Theory predict pro-environmental behavior? Explaining the adoption of electric vehicles in the Netherlands
2014301 citationsM. Bočkarjova, Linda StegGlobal Environmental Changeprofile →
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 M. Bočkarjova'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 M. Bočkarjova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bočkarjova more than expected).
This network shows the impact of papers produced by M. Bočkarjova. 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 M. Bočkarjova. The network helps show where M. Bočkarjova may publish in the future.
Co-authorship network of co-authors of M. Bočkarjova
This figure shows the co-authorship network connecting the top 25 collaborators of M. Bočkarjova.
A scholar is included among the top collaborators of M. Bočkarjova 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 M. Bočkarjova. M. Bočkarjova is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bočkarjova, M. & W. J. Wouter Botzen. (2017). Review of economic valuation of nature based solutions in urban areas. VU Research Portal.8 indexed citations
4.
Bočkarjova, M. & Linda Steg. (2014). Can Protection Motivation Theory predict pro-environmental behavior? Explaining the adoption of electric vehicles in the Netherlands. Global Environmental Change. 28. 276–288.301 indexed citations breakdown →
Ierland, E.C. van, Hans‐Peter Weikard, Justus Wesseler, et al.. (2012). Cost benefit analysis for climate change adaption. Socio-Environmental Systems Modeling.
Bočkarjova, M., et al.. (2010). Mag het wat kosten. Data Archiving and Networked Services (DANS).1 indexed citations
10.
Bočkarjova, M., Albert E. Steenge, & Arjen Y. Hoekstra. (2009). Management of catastrophes: a paradigm shift in thinking about flood risk. University of Twente Research Information.1 indexed citations
11.
Bočkarjova, M., Anne van der Veen, & Peter Geurts. (2009). A Flood disaster in the Netherlands : a trade-off between paying for protection and undertaking action?. University of Twente Research Information.1 indexed citations
12.
Bočkarjova, M., Anne van der Veen, & Peter Geurts. (2009). A PMT - TTM model of protective motivation for flood danger in the Netherlands. University of Twente Research Information.8 indexed citations
Bočkarjova, M., Anne van der Veen, & Peter Geurts. (2009). Reporting on flood risk perception in The Netherlands : an issue of time, place and measurement. University of Twente Research Information.3 indexed citations
Bočkarjova, M., et al.. (2004). Dijkdoorbraak bij Capelle treft gehele Nederlandse economie. University of Twente Research Information. 2004(5). 28–29.1 indexed citations
17.
Jonkman, Sebastiaan N., et al.. (2003). Consequences of floods: Visits to other countries. Distributed Computing.1 indexed citations
18.
Veen, A. van der, et al.. (2003). Structural economic effects of large scale inundation: A simulation of the Krimpen dike breakage. Distributed Computing.13 indexed citations
19.
Veen, Anne van der, E.E. van der Hoek, N.E.M. Asselman, et al.. (2003). The role of flood impact assessment in flood defence policies. Data Archiving and Networked Services (DANS).1 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.