W. J. Wouter Botzen

17.5k total citations · 8 hit papers
216 papers, 11.7k citations indexed

About

W. J. Wouter Botzen is a scholar working on Global and Planetary Change, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, W. J. Wouter Botzen has authored 216 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Global and Planetary Change, 78 papers in Sociology and Political Science and 67 papers in Economics and Econometrics. Recurrent topics in W. J. Wouter Botzen's work include Flood Risk Assessment and Management (119 papers), Disaster Management and Resilience (67 papers) and Agricultural risk and resilience (46 papers). W. J. Wouter Botzen is often cited by papers focused on Flood Risk Assessment and Management (119 papers), Disaster Management and Resilience (67 papers) and Agricultural risk and resilience (46 papers). W. J. Wouter Botzen collaborates with scholars based in Netherlands, United States and Germany. W. J. Wouter Botzen's co-authors include Jeroen C. J. H. Aerts, Jeroen C.J.M. van den Bergh, Philip Bubeck, Hans de Moel, Brenden Jongman, Jennifer K. Poussin, Erwann Michel‐Kerjan, Toon Haer, Heidi Kreibich and Francisco Estrada and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

W. J. Wouter Botzen

204 papers receiving 11.3k citations

Hit Papers

A Review of Risk Perceptions and Other Factors that Influ... 2012 2026 2016 2021 2012 2014 2014 2014 2018 250 500 750
What are hit papers?

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.

  1. A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior
    2012 861 citations Philip Bubeck, W. J. Wouter Botzen et al. Risk Analysis profile →
  2. Combining hazard, exposure and social vulnerability to provide lessons for flood risk management
    2014 479 citations W. J. Wouter Botzen et al. profile →
  3. Evaluating Flood Resilience Strategies for Coastal Megacities
    2014 441 citations Jeroen C. J. H. Aerts, W. J. Wouter Botzen et al. profile →
  4. Increasing stress on disaster-risk finance due to large floods
    2014 427 citations Jeroen C. J. H. Aerts, W. J. Wouter Botzen et al. profile →
  5. Integrating human behaviour dynamics into flood disaster risk assessment
    2018 399 citations Jeroen C. J. H. Aerts, W. J. Wouter Botzen et al. profile →
  6. The Economic Impacts of Natural Disasters: A Review of Models and Empirical Studies
    2019 383 citations W. J. Wouter Botzen et al. profile →
  7. Factors of influence on flood damage mitigation behaviour by households
    2014 339 citations W. J. Wouter Botzen, Jeroen C. J. H. Aerts et al. profile →
  8. Heat stress causes substantial labour productivity loss in Australia
    2015 337 citations W. J. Wouter Botzen et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
W. J. Wouter Botzen Netherlands 55 7.5k 5.0k 2.4k 1.9k 1.3k 216 11.7k
Stéphane Hallegatte United States 59 8.4k 1.1× 4.2k 0.8× 3.3k 1.4× 4.4k 2.3× 1.4k 1.1× 231 18.2k
Marshall Burke United States 50 4.9k 0.7× 3.1k 0.6× 1.3k 0.5× 2.7k 1.4× 2.5k 1.9× 129 16.9k
Suraje Dessai United Kingdom 49 5.2k 0.7× 3.9k 0.8× 966 0.4× 1.1k 0.5× 473 0.4× 132 10.0k
Susan L. Cutter United States 63 11.3k 1.5× 16.5k 3.3× 3.1k 1.3× 1.7k 0.9× 1.3k 1.0× 190 25.1k
Osvaldo Canziani 5 4.7k 0.6× 1.7k 0.3× 2.0k 0.8× 917 0.5× 1.1k 0.8× 5 11.7k
Joern Birkmann Germany 39 4.4k 0.6× 3.7k 0.7× 1.1k 0.5× 885 0.5× 601 0.5× 141 8.9k
Jeroen C. J. H. Aerts Netherlands 68 12.4k 1.6× 4.9k 1.0× 5.1k 2.1× 1.1k 0.6× 1.2k 0.9× 223 16.9k
Richard H. Moss United States 27 7.8k 1.0× 1.1k 0.2× 4.0k 1.7× 1.3k 0.7× 679 0.5× 62 13.5k
Timothy R. Carter Finland 44 8.5k 1.1× 1.1k 0.2× 3.7k 1.6× 1.7k 0.9× 865 0.7× 110 15.7k
Brian C. O’Neill United States 52 9.0k 1.2× 1.7k 0.3× 3.3k 1.4× 3.8k 2.0× 490 0.4× 168 17.3k

Countries citing papers authored by W. J. Wouter Botzen

Since Specialization
Citations

This map shows the geographic impact of W. J. Wouter Botzen'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. J. Wouter Botzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. J. Wouter Botzen more than expected).

Fields of papers citing papers by W. J. Wouter Botzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. J. Wouter Botzen. 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. J. Wouter Botzen. The network helps show where W. J. Wouter Botzen may publish in the future.

Co-authorship network of co-authors of W. J. Wouter Botzen

This figure shows the co-authorship network connecting the top 25 collaborators of W. J. Wouter Botzen. A scholar is included among the top collaborators of W. J. Wouter Botzen 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. J. Wouter Botzen. W. J. Wouter Botzen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Estrada, Francisco, Richard S.J. Tol, & W. J. Wouter Botzen. (2025). Economic consequences of spatial variation and temporal variability of climate change. Annals of the New York Academy of Sciences. 1547(1). 170–182.
2.
Osberghaus, Daniel, W. J. Wouter Botzen, & Martin Kesternich. (2025). The intention-behavior gap in climate change adaptation: Evidence from longitudinal survey data. Ecological Economics. 231. 108543–108543. 5 indexed citations
3.
Botzen, W. J. Wouter, et al.. (2024). Preferences for drought risk adaptation support in Kenya: Evidence from a discrete choice experiment and three decision-making theories. Ecological Economics. 227. 108425–108425. 3 indexed citations
4.
Bruijn, Jens de, et al.. (2024). A global dataset of 7 billion individuals with socio-economic characteristics. Scientific Data. 11(1). 1096–1096. 3 indexed citations
5.
Moel, Hans de, et al.. (2024). Economic damage from natural hazards and internal migration in the United States. Natural Hazards. 121(4). 4985–5005.
6.
Botzen, W. J. Wouter, et al.. (2024). Enhancing resilience: Understanding the impact of flood hazard and vulnerability on business interruption and losses. Water Resources and Economics. 46. 100244–100244. 3 indexed citations
7.
Botzen, W. J. Wouter, et al.. (2023). Flood Vulnerability Models and Household Flood Damage Mitigation Measures: An Econometric Analysis of Survey Data. Water Resources Research. 59(8). 21 indexed citations
8.
Botzen, W. J. Wouter, et al.. (2023). Drought risk attitudes in pastoral and agro-pastoral communities in Kenya. Journal of Behavioral and Experimental Economics. 108. 102143–102143. 4 indexed citations
9.
Botzen, W. J. Wouter, et al.. (2023). Flood insurance is a driver of population growth in European floodplains. Nature Communications. 14(1). 7483–7483. 9 indexed citations
10.
Duijndam, Sem, et al.. (2023). Drivers of migration intentions in coastal Vietnam under increased flood risk from sea level rise. Climatic Change. 176(2). 17 indexed citations
11.
Botzen, W. J. Wouter, et al.. (2023). Assessing key behavioural theories of drought risk adaptation: Evidence from rural Kenya. Risk Analysis. 44(7). 1681–1699. 4 indexed citations
12.
Brito, Mariana Madruga de, Christian Kuhlicke, Bartosz Bartkowski, et al.. (2023). A systematic review of the use of theories in social vulnerability, resilience, and adaptation research.
13.
Duijndam, Sem, et al.. (2021). Anticipating sea‐level rise and human migration: A review of empirical evidence and avenues for future research. Wiley Interdisciplinary Reviews Climate Change. 13(1). e747–e747. 28 indexed citations
14.
15.
Ginkel, Kees van, W. J. Wouter Botzen, Marjolijn Haasnoot, et al.. (2019). Climate change induced socio-economic tipping points: review and stakeholder consultation for policy relevant research. Environmental Research Letters. 15(2). 23001–23001. 64 indexed citations
16.
Kind, Jarl, W. J. Wouter Botzen, & Jeroen C. J. H. Aerts. (2019). Social vulnerability in cost-benefit analysis for flood risk management. Environment and Development Economics. 25(2). 115–134. 31 indexed citations
17.
Estrada, Francisco, Richard S.J. Tol, & W. J. Wouter Botzen. (2019). Extending integrated assessment models′ damage functions to include adaptation and dynamic sensitivity. Environmental Modelling & Software. 121. 104504–104504. 10 indexed citations
18.
Botzen, W. J. Wouter, et al.. (2018). A global review of the impact of basis risk on the functioning of and demand for index insurance. International Journal of Disaster Risk Reduction. 28. 845–853. 83 indexed citations
19.
Vasileiadou, Eleftheria & W. J. Wouter Botzen. (2014). Framing adaptation with emotions: The role of intense experiences for concern about extreme weather. VU Research Portal. 24 indexed citations
20.
Botzen, W. J. Wouter & Jeroen C.J.M. van den Bergh. (2009). Managing natural disaster risks in a changing climate. Environmental Hazards. 8(3). 209–225. 73 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.

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