Davide Muraro

975 citations
8 papers · 639 · 1 hit paper · h-index 6

Impact in

Papers in

Davide Muraro

7 papers receiving 625 citations

Davide Muraro's Hit Papers

GloFAS – global ensemble streamflow forecasting and flood early warning 2013 · 440 citations
4400+4+8Years since publication100200300400

Peers

Davide Muraro
Comparison fields: 5 of 46
  • Water Science and Technology 390
  • Global and Planetary Change 540
  • Atmospheric Science 255
  • Environmental Engineering 130
  • Ocean Engineering 26
Replace Dinuke Munasinghe with:
Dinuke Munasinghe United States
Priyank J. Sharma India
Nazmus Sazib United States
Amanda Markert United States
Boosik Kang South Korea
G. Srinivasa Rao India
Stefan Lüdtke Germany
Fabio Cian United States
Michael Cranston United Kingdom
Rafael Pimentel Spain
Davide Muraro relative to Dinuke Munasinghe United States Dinuke Munasinghe's profile →
Citations per field
00.5×2.6×
Dinuke Munasinghe · 1×
Citations per year

Countries citing papers authored by Davide Muraro

Since Specialization
Citations

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

Fields of papers citing papers by Davide Muraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Davide Muraro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Davide Muraro Line = papers co-authored together Davide Muraro links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
GloFAS – global ensemble streamflow forecasting and flood early warning
Hit paper breakdown →
2013440
2 201880
3 201660
4 201123
5 202318
6 202313
7 20125
8
Advances in Global Flood Forecasting Systems
20120

About Davide Muraro

Davide Muraro is a scholar working on Global and Planetary Change, Water Science and Technology, Ecology, Atmospheric Science and Media Technology, having authored 8 papers that have together received 639 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (4 papers), Flood Risk Assessment and Management (4 papers), Climate variability and models (2 papers), Remote Sensing in Agriculture (2 papers), Land Use and Ecosystem Services (2 papers), Remote-Sensing Image Classification (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Meteorological Phenomena and Simulations (1 paper). The work is most often cited by research in Water Science and Technology (390 citations), Global and Planetary Change (540 citations), Atmospheric Science (255 citations), Environmental Engineering (130 citations) and Ocean Engineering (26 citations). Davide Muraro has collaborated with scholars based in Italy, United Kingdom and Austria. Frequent co-authors include Florian Pappenberger, Blazej Krzeminski, Peter Burek, J. Thielen, Lorenzo Alfieri, Emanuel Dutra, Peter Salamon, Hannah Cloke, Milan Kalaš and Rebecca Emerton. Their work appears in journals such as Geoscientific model development, International Journal of Digital Earth, Environmental Modelling & Software, Hydrology and earth system sciences and Earth system science data.

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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