Davide Muraro

949 total citations · 1 hit paper
5 papers, 532 citations indexed

About

Davide Muraro is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology. According to data from OpenAlex, Davide Muraro has authored 5 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Global and Planetary Change, 3 papers in Water Science and Technology and 2 papers in Ecology. Recurrent topics in Davide Muraro's work include Hydrology and Watershed Management Studies (3 papers), Flood Risk Assessment and Management (3 papers) and Climate variability and models (2 papers). Davide Muraro is often cited by papers focused on Hydrology and Watershed Management Studies (3 papers), Flood Risk Assessment and Management (3 papers) and Climate variability and models (2 papers). Davide Muraro collaborates with scholars based in Italy, United Kingdom and Sweden. Davide Muraro's co-authors include Florian Pappenberger, Lorenzo Alfieri, Peter Burek, J. Thielen, Emanuel Dutra, Blazej Krzeminski, Hannah Cloke, Peter Salamon, Ervin Zsótér and Rebecca Emerton and has published in prestigious journals such as Hydrology and earth system sciences, Environmental Modelling & Software and Geoscientific model development.

In The Last Decade

Davide Muraro

5 papers receiving 518 citations

Hit Papers

align trajectories

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.

GloFAS – global ensemble streamflow forecasting and flood early warning

2013 413 citations Lorenzo Alfieri, Peter Burek et al. Hydrology and earth system sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Davide Muraro Italy	5	452	345	218	116	38	5	532
Dinuke Munasinghe United States	10	409 0.9×	266 0.8×	185 0.8×	81 0.7×	82 2.2×	18	467
Hapu Arachchige Prasantha Hapuarachchi Australia	9	648 1.4×	497 1.4×	273 1.3×	201 1.7×	46 1.2×	14	768
Holger Maiwald Germany	10	416 0.9×	125 0.4×	193 0.9×	65 0.6×	40 1.1×	33	539
Amanda Markert United States	9	232 0.5×	124 0.4×	114 0.5×	108 0.9×	48 1.3×	15	351
Eyüp Şişman Türkiye	14	568 1.3×	188 0.5×	151 0.7×	123 1.1×	16 0.4×	47	739
Fabio Cian United States	8	302 0.7×	99 0.3×	130 0.6×	88 0.8×	39 1.0×	9	383
Hakim Farooq India	8	322 0.7×	192 0.6×	86 0.4×	107 0.9×	36 0.9×	9	391
Stefan Lüdtke Germany	11	323 0.7×	193 0.6×	145 0.7×	65 0.6×	19 0.5×	24	428
Kimiteru Sado Japan	8	359 0.8×	195 0.6×	115 0.5×	103 0.9×	37 1.0×	19	421
Paúl Muñoz Ecuador	9	248 0.5×	150 0.4×	129 0.6×	135 1.2×	31 0.8×	18	348

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-authorship network of co-authors of Davide Muraro

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

d’Andrimont, Raphaël, Martin Claverie, Pieter Kempeneers, et al.. (2023). AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography. Earth system science data. 15(1). 317–329. 13 indexed citations

2.

See, Linda, Momchil Yordanov, Astrid Verhegghen, et al.. (2023). Automatic classification of land cover from LUCAS in-situ landscape photos using semantic segmentation and a Random Forest model. Environmental Modelling & Software. 172. 105931–105931. 12 indexed citations

3.

Emerton, Rebecca, Ervin Zsótér, Louise Arnal, et al.. (2018). Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0. Geoscientific model development. 11(8). 3327–3346. 77 indexed citations

4.

Alfieri, Lorenzo, Peter Burek, Emanuel Dutra, et al.. (2013). GloFAS – global ensemble streamflow forecasting and flood early warning. Hydrology and earth system sciences. 17(3). 1161–1175. 413 indexed citations breakdown →

5.

Roo, Ad de, Jutta Thielen, Peter Salamon, et al.. (2011). Quality control, validation and user feedback of the European Flood Alert System (EFAS). International Journal of Digital Earth. 4(sup1). 77–90. 17 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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