Hy Dao

3.7k total citations · 2 hit papers
39 papers, 2.4k citations indexed

About

Hy Dao is a scholar working on Global and Planetary Change, Sociology and Political Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Hy Dao has authored 39 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 9 papers in Sociology and Political Science and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Hy Dao's work include Flood Risk Assessment and Management (7 papers), Climate Change and Health Impacts (6 papers) and Geographic Information Systems Studies (6 papers). Hy Dao is often cited by papers focused on Flood Risk Assessment and Management (7 papers), Climate Change and Health Impacts (6 papers) and Geographic Information Systems Studies (6 papers). Hy Dao collaborates with scholars based in Switzerland, Netherlands and United States. Hy Dao's co-authors include Pascal Peduzzi, Christian Herold, Frédéric Mouton, Andrea Bono, Bruno Chatenoux, James P. Kossin, Mark Pelling, Lisa J. Hall, Stéphane Kluser and Andrew Maskrey and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Nature Climate Change.

In The Last Decade

Hy Dao

38 papers receiving 2.3k citations

Hit Papers

Global trends in tropical cyclone risk 2004 2026 2011 2018 2012 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hy Dao Switzerland 20 1.3k 754 670 254 225 39 2.4k
Li Peng China 29 1.6k 1.2× 728 1.0× 671 1.0× 153 0.6× 260 1.2× 165 3.0k
Jan Corfee-Morlot France 18 2.2k 1.7× 1.1k 1.4× 866 1.3× 243 1.0× 261 1.2× 41 3.9k
John McAneney Australia 21 1.5k 1.2× 781 1.0× 501 0.7× 96 0.4× 112 0.5× 43 2.4k
Mahé Perrette Germany 12 1.4k 1.1× 1.1k 1.4× 391 0.6× 429 1.7× 507 2.3× 18 3.0k
Dominic Kniveton United Kingdom 32 1.3k 1.0× 1.2k 1.6× 1.4k 2.1× 247 1.0× 97 0.4× 90 3.6k
Silvia Torresan Italy 29 1.2k 0.9× 527 0.7× 375 0.6× 152 0.6× 185 0.8× 70 2.3k
David N. Bresch Switzerland 27 2.5k 1.9× 1.5k 1.9× 586 0.9× 348 1.4× 153 0.7× 95 3.7k
Ning Li China 30 890 0.7× 395 0.5× 462 0.7× 199 0.8× 76 0.3× 133 2.5k
Roger Jones Australia 26 1.9k 1.5× 633 0.8× 348 0.5× 498 2.0× 207 0.9× 96 3.2k
Richard A. Matthew United States 24 1.5k 1.1× 873 1.2× 643 1.0× 64 0.3× 213 0.9× 75 2.4k

Countries citing papers authored by Hy Dao

Since Specialization
Citations

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

Fields of papers citing papers by Hy Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hy Dao. 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 Hy Dao. The network helps show where Hy Dao may publish in the future.

Co-authorship network of co-authors of Hy Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Hy Dao. A scholar is included among the top collaborators of Hy Dao 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 Hy Dao. Hy Dao 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.
Dao, Hy, et al.. (2024). Flood Extent Delineation and Exposure Assessment in Senegal Using the Google Earth Engine: The 2022 Event. Water. 16(15). 2201–2201. 2 indexed citations
2.
Gensel, Jérôme, et al.. (2024). Towards semantic enrichment of Earth Observation data: The LEODS framework. SPIRE - Sciences Po Institutional REpository. 5. 1–12. 1 indexed citations
3.
Frischknecht, Corine, et al.. (2020). Reconstituting past flood events: the contribution of citizen science. Hydrology and earth system sciences. 24(1). 61–74. 23 indexed citations
4.
Rohat, Guillaume, Olga Wilhelmi, Johannes Flacke, et al.. (2019). Characterizing the role of socioeconomic pathways in shaping future urban heat-related challenges. The Science of The Total Environment. 695. 133941–133941. 34 indexed citations
5.
Rohat, Guillaume, Johannes Flacke, Alessandro Dosio, et al.. (2018). Influence of changes in socioeconomic and climatic conditions on future heat-related health impacts in Europe. University of Twente Research Information. 1 indexed citations
6.
Dao, Hy, Pascal Peduzzi, & Damien Friot. (2018). National environmental limits and footprints based on the Planetary Boundaries framework: The case of Switzerland. Global Environmental Change. 52. 49–57. 88 indexed citations
7.
Giuliani, Grégory, Bruno Chatenoux, Andrea Bono, et al.. (2017). Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD). Big Earth Data. 1(1-2). 100–117. 152 indexed citations
8.
Boillat, Sébastien, Hy Dao, Patrick Bottazzi, et al.. (2015). Integrating Forest Cover Change with Census Data: Drivers and Contexts from Bolivia and the Lao PDR. Land. 4(1). 45–82. 11 indexed citations
9.
Bottazzi, Patrick, et al.. (2014). Carbon Sequestration in Community Forests: Trade‐offs, Multiple Outcomes and Institutional Diversity in the Bolivian Amazon. Development and Change. 45(1). 105–131. 28 indexed citations
10.
Dao, Hy, et al.. (2012). INTERCO - Indicators of territorial cohesion. Final Report. Archive ouverte UNIGE (University of Geneva). 1 indexed citations
11.
Bono, Andrea, et al.. (2011). Proposed demographic scenario analysis and overview of driving forces and justification, model input parameters and allocation rules. Archive ouverte UNIGE (University of Geneva). 2 indexed citations
12.
Lehmann, Anthony, et al.. (2010). Swiss Environmental Domains: A new spatial framework for reporting on the environment. QUT ePrints (Queensland University of Technology). 9 indexed citations
13.
Peduzzi, Pascal, Uwe Deichmann, Hy Dao, et al.. (2009). 2009 Global Assessment Report on Disaster Risk Reduction: patterns, trends and drivers. Archive ouverte UNIGE (University of Geneva). 2 indexed citations
14.
Peduzzi, Pascal, Hy Dao, Christian Herold, & Frédéric Mouton. (2009). Assessing global exposure and vulnerability towards natural hazards: the Disaster Risk Index. Natural hazards and earth system sciences. 9(4). 1149–1159. 402 indexed citations
15.
Pelling, Mark, Andrew Maskrey, Lisa J. Hall, et al.. (2004). Reducing Disaster Risk: a challenge for development. Archive ouverte UNIGE (University of Geneva). 469 indexed citations breakdown →
16.
Dao, Hy, et al.. (2004). Envirocat: a Swiss Catalogue for Sharing Environmental Information. 482–491. 1 indexed citations
17.
Peduzzi, Pascal, Hy Dao, Christian Herold, & Frédéric Mouton. (2003). Global Risk And Vulnerability Index Trends per Year (GRAVITY) Phase III: Drought analysis. Archive ouverte UNIGE (University of Geneva). 1 indexed citations
18.
Dao, Hy & Pascal Peduzzi. (2003). Global Risk And Vulnerability Index Trends per Year (GRAVITY) Phase IV: Annex to WVR and Multi Risk Integration. Archive ouverte UNIGE (University of Geneva). 5 indexed citations
19.
Peduzzi, Pascal, et al.. (2002). Global Risk And Vulnerability Index Trends per Year (GRAVITY) Phase II: Development, analysis and results. Archive ouverte UNIGE (University of Geneva). 14 indexed citations
20.
Peduzzi, Pascal, et al.. (2001). Feasibility Study Report On Global Risk And Vulnerability Index – Trends per year (GRAVITY). Archive ouverte UNIGE (University of Geneva). 10 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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