Marco Cucchi

618 total citations · 1 hit paper
7 papers, 323 citations indexed

About

Marco Cucchi is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Marco Cucchi has authored 7 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Global and Planetary Change, 3 papers in Water Science and Technology and 2 papers in Atmospheric Science. Recurrent topics in Marco Cucchi's work include Hydrology and Watershed Management Studies (3 papers), Flood Risk Assessment and Management (3 papers) and Climate variability and models (3 papers). Marco Cucchi 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 (3 papers). Marco Cucchi collaborates with scholars based in Italy, United Kingdom and Germany. Marco Cucchi's co-authors include Carlo Buontempo, Hannes Müller Schmied, A. Amici, Nicolas Bellouin, Stefan Lange, Graham P. Weedon, Hans Hersbach, Marcello Petitta, Elisa Arnone and Sandro Calmanti and has published in prestigious journals such as Water Resources Management, European Journal of Public Health and Earth system science data.

In The Last Decade

Marco Cucchi

6 papers receiving 316 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.

WFDE5: bias-adjusted ERA5 reanalysis data for impact studies

2020 292 citations Marco Cucchi, Graham P. Weedon et al. Earth system science data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Cucchi Italy	4	210	123	97	55	38	7	323
Doina Cristina Burada Romania	5	271 1.3×	98 0.8×	71 0.7×	55 1.0×	33 0.9×	6	355
Mamadou Mbaye Senegal	9	209 1.0×	101 0.8×	116 1.2×	53 1.0×	19 0.5×	20	317
Lisi Pei United States	7	211 1.0×	116 0.9×	109 1.1×	39 0.7×	47 1.2×	9	325
Hanqing Xu China	9	193 0.9×	96 0.8×	67 0.7×	44 0.8×	57 1.5×	22	313
Sonia I. Seneviratne Switzerland	4	220 1.0×	155 1.3×	43 0.4×	67 1.2×	43 1.1×	6	359
José Pesquero Brazil	4	361 1.7×	178 1.4×	160 1.6×	38 0.7×	33 0.9×	5	513
Philbert Luhunga South Africa	9	221 1.1×	111 0.9×	54 0.6×	105 1.9×	16 0.4×	22	324
R. A. Betts United Kingdom	3	305 1.5×	217 1.8×	82 0.8×	51 0.9×	59 1.6×	3	428
Anshul Agarwal Thailand	10	253 1.2×	121 1.0×	161 1.7×	47 0.9×	53 1.4×	15	360

Countries citing papers authored by Marco Cucchi

Since Specialization

Citations

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

Fields of papers citing papers by Marco Cucchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Cucchi

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Cucchi. A scholar is included among the top collaborators of Marco Cucchi 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 Marco Cucchi. Marco Cucchi 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:

7 of 7 papers shown

1.

Arnone, Elisa, et al.. (2020). The drought-alert decision support system for water resources management. Desalination and Water Treatment. 194. 304–314. 5 indexed citations

2.

Cucchi, Marco, Graham P. Weedon, A. Amici, et al.. (2020). WFDE5: bias-adjusted ERA5 reanalysis data for impact studies. Earth system science data. 12(3). 2097–2120. 292 indexed citations breakdown →

3.

Arnone, Elisa, et al.. (2020). Droughts Prediction: a Methodology Based on Climate Seasonal Forecasts. Water Resources Management. 34(14). 4313–4328. 17 indexed citations

4.

Cucchi, Marco, et al.. (2020). Climate change and health: time for action!. European Journal of Public Health. 30(Supplement_5).

5.

Arnone, Elisa, et al.. (2018). A Multi-Hazard Extreme Climate Index across Europe. EPiC series in engineering. 3 indexed citations

6.

Cucchi, Marco, Marcello Petitta, & Sandro Calmanti. (2016). The Extreme Climate Index: a novel and multi-hazard index for extreme weather events.. EGU General Assembly Conference Abstracts. 6761. 4 indexed citations

7.

Freppaz, Michele, et al.. (2008). Artificial snow production with respect to the altitude: a case study in the Italian Western Alps. 10. 9801–9801. 2 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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