Robert Muir‐Wood

5.0k total citations · 2 hit papers
27 papers, 2.8k citations indexed

About

Robert Muir‐Wood is a scholar working on Global and Planetary Change, Sociology and Political Science and Geophysics. According to data from OpenAlex, Robert Muir‐Wood has authored 27 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 5 papers in Sociology and Political Science and 4 papers in Geophysics. Recurrent topics in Robert Muir‐Wood's work include Flood Risk Assessment and Management (8 papers), Disaster Management and Resilience (5 papers) and Agricultural risk and resilience (4 papers). Robert Muir‐Wood is often cited by papers focused on Flood Risk Assessment and Management (8 papers), Disaster Management and Resilience (5 papers) and Agricultural risk and resilience (4 papers). Robert Muir‐Wood collaborates with scholars based in United Kingdom, United States and Austria. Robert Muir‐Wood's co-authors include G. C. P. King, Reinhard Mechler, Shinjiro Kanae, Neville Nicholls, Zbigniew W. Kundzewicz, Wolfgang Kron, Pascal Peduzzi, Gerardo Benito, Kiyoshi Takahashi and Katharine J. Mach and has published in prestigious journals such as Nature, Science and Journal of Geophysical Research Atmospheres.

In The Last Decade

Robert Muir‐Wood

27 papers receiving 2.7k citations

Hit Papers

Flood risk and climate change: global and regional perspe... 2013 2026 2017 2021 2013 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Muir‐Wood United Kingdom 11 1.4k 516 513 457 440 27 2.8k
Edward Maltby United Kingdom 25 1.3k 0.9× 267 0.5× 671 1.3× 121 0.3× 132 0.3× 64 3.7k
Tin Lukić Serbia 27 594 0.4× 211 0.4× 345 0.7× 163 0.4× 253 0.6× 102 1.9k
Joel B. Smith United States 38 2.3k 1.6× 492 1.0× 760 1.5× 125 0.3× 938 2.1× 103 5.2k
Pascal Peduzzi Switzerland 27 2.9k 2.1× 684 1.3× 1.5k 2.9× 134 0.3× 986 2.2× 62 5.1k
Grégory Giuliani Switzerland 37 1.1k 0.8× 323 0.6× 670 1.3× 989 2.2× 128 0.3× 179 4.1k
Ning Li China 30 890 0.6× 124 0.2× 395 0.8× 85 0.2× 462 1.1× 133 2.5k
Hy Dao Switzerland 20 1.3k 0.9× 147 0.3× 754 1.5× 73 0.2× 670 1.5× 39 2.4k
Russell Blong Australia 29 1.1k 0.8× 141 0.3× 1.0k 2.0× 489 1.1× 413 0.9× 91 3.0k
John McAneney Australia 21 1.5k 1.1× 191 0.4× 781 1.5× 75 0.2× 501 1.1× 43 2.4k
Christopher Lloyd United Kingdom 30 700 0.5× 244 0.5× 440 0.9× 40 0.1× 444 1.0× 126 3.0k

Countries citing papers authored by Robert Muir‐Wood

Since Specialization
Citations

This map shows the geographic impact of Robert Muir‐Wood'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 Robert Muir‐Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Muir‐Wood more than expected).

Fields of papers citing papers by Robert Muir‐Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Muir‐Wood. 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 Robert Muir‐Wood. The network helps show where Robert Muir‐Wood may publish in the future.

Co-authorship network of co-authors of Robert Muir‐Wood

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Muir‐Wood. A scholar is included among the top collaborators of Robert Muir‐Wood 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 Robert Muir‐Wood. Robert Muir‐Wood 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.
Hsiang, Solomon, Robert E. Kopp, Amir Jina, et al.. (2017). Estimating economic damage from climate change in the United States. Science. 356(6345). 1362–1369. 730 indexed citations breakdown →
2.
Muir‐Wood, Robert. (2016). The Cure for Catastrophe: How We Can Stop Manufacturing Natural Disasters. 7 indexed citations
3.
Muir‐Wood, Robert, et al.. (2016). What constitutes a global baseline for worldwide casualties from catastrophes?. International Journal of Disaster Risk Reduction. 17. 123–127. 2 indexed citations
4.
Muir‐Wood, Robert, et al.. (2015). Comprehensive Disaster Risk Modeling for Agriculture. 3(1). 1 indexed citations
5.
Nyst, M., et al.. (2014). Quantifying the Earthquake Clustering that Independent Sources with Stationary Rates (as Included in Current Risk Models) Can Produce.. 2014 AGU Fall Meeting. 2014. 1 indexed citations
6.
Houser, Trevor, Solomon Hsiang, Klaus Steenberg Larsen, et al.. (2014). Risky Business and the American Climate Prospectus: Economic Risks of Climate Change in the United States". AGU Fall Meeting Abstracts. 2014. 2 indexed citations
7.
Mitchell, Tom, et al.. (2014). Setting, measuring and monitoring targets for reducing disaster risk : Recommendations for post-2015 international policy frameworks. DIAL (Catholic University of Leuven). 8 indexed citations
8.
Kundzewicz, Zbigniew W., Shinjiro Kanae, Sonia I. Seneviratne, et al.. (2013). Flood risk and climate change: global and regional perspectives. Hydrological Sciences Journal. 59(1). 1–28. 1136 indexed citations breakdown →
9.
Shepherd, Andrew, Tom Mitchell, Kirsty Lewis, et al.. (2013). The geography of poverty, disasters and climate extremes in 2030. 77 indexed citations
10.
Sparks, R. S. J., Susan Loughlin, Elizabeth Cottrell, et al.. (2012). Global Volcano Model. EGUGA. 13299. 1 indexed citations
11.
Michel‐Kerjan, Erwann, Stefan Hochrainer‐Stigler, Howard Kunreuther, et al.. (2012). Catastrophe Risk Models for Evaluating Disaster Risk Reduction Investments in Developing Countries. Risk Analysis. 33(6). 984–999. 93 indexed citations
12.
Mignan, Arnaud, et al.. (2010). Risk assessment of Tunguska-type airbursts. Natural Hazards. 56(3). 869–880. 10 indexed citations
13.
Hallegatte, Stéphane, Nicola Patmore, Olivier Mestre, et al.. (2009). Assessing climate change impacts, sea level rise and storm surge risk in port cities: A case study on Copenhagen. IOP Conference Series Earth and Environmental Science. 6(33). 332021–332021. 29 indexed citations
14.
Hallegatte, Stéphane, Nicola Patmore, Olivier Mestre, et al.. (2009). Assessing climate change impacts, sea level rise and storm surge risk in port cities: A case study on Copenhagen. IOP Conference Series Earth and Environmental Science. 6(33). 332021–332021. 10 indexed citations
15.
Herweijer, Celine, Robert J. Nicholls, Susan Hanson, et al.. (2008). How do our coastal cities fare under rising flood risk?. ePrints Soton (University of Southampton). 2 indexed citations
16.
Lonfat, Manuel, et al.. (2007). Atlantic basin, U.S. and Caribbean landfall activity rates over the 2006–2010 period: an insurance industry perspective. Tellus A Dynamic Meteorology and Oceanography. 59(4). 499–499. 8 indexed citations
17.
Wilbanks, Thomas J., Patricia Romero‐Lankao, Frans Berkhout, et al.. (2007). Industry, settlement and society. Data Archiving and Networked Services (DANS). 357–390. 143 indexed citations
18.
Muir‐Wood, Robert & G. C. P. King. (1993). Hydrological signatures of earthquake strain. Journal of Geophysical Research Atmospheres. 98(B12). 22035–22068. 381 indexed citations
19.
Muir‐Wood, Robert. (1989). EUROPEAN EARTH SCIENCES (or how to convert a suspect terrane into a craton). Terra Nova. 1(1). 7–14. 1 indexed citations
20.
Muir‐Wood, Robert, et al.. (1989). TERRA BOOK. Terra Nova. 1(1). 100–101. 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.

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