Marco Verdecchia

1.7k total citations
40 papers, 1.1k citations indexed

About

Marco Verdecchia is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Marco Verdecchia has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 22 papers in Global and Planetary Change and 11 papers in Water Science and Technology. Recurrent topics in Marco Verdecchia's work include Meteorological Phenomena and Simulations (16 papers), Climate variability and models (11 papers) and Hydrology and Watershed Management Studies (10 papers). Marco Verdecchia is often cited by papers focused on Meteorological Phenomena and Simulations (16 papers), Climate variability and models (11 papers) and Hydrology and Watershed Management Studies (10 papers). Marco Verdecchia collaborates with scholars based in Italy, France and United Kingdom. Marco Verdecchia's co-authors include Barbara Tomassetti, Erika Coppola, Guido Visconti, Filippo Giorgi, Fabio Biancofiore, Piero Di Carlo, Marcella Busilacchio, Carlo Colangeli, Eleonora Aruffo and D. I. F. Grimes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Marco Verdecchia

40 papers receiving 1.0k citations

Peers

Marco Verdecchia

GPC

HTM

WST

Barbara Tomassetti Italy

Theodore M. Giannaros Greece

Christos Spyrou Greece

Roberto San José Spain

Jamil Amanollahi Iran

Marina Astitha United States

Kaixu Bai China

P. Suppan Germany

Juan L. Pérez Spain

Azizan Abu Samah Malaysia

Barbara Tomassetti Italy

Marco Verdecchia

296 ×0.6

GPC

225 ×0.5

380 ×0.8

301 ×1.0

HTM

206 ×0.8

WST

Citations per year, relative to Marco Verdecchia Marco Verdecchia (= 1×) peers Barbara Tomassetti

Countries citing papers authored by Marco Verdecchia

Since Specialization

Citations

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

Fields of papers citing papers by Marco Verdecchia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Verdecchia

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

All Works

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20 of 20 papers shown

Tomassetti, Barbara, et al.. (2022). Evaluating the Response of Hydrological Stress Indices Using the CHyM Model over a Wide Area in Central Italy. Hydrology. 9(8). 139–139. 1 indexed citations

Verdecchia, Marco, et al.. (2021). User-oriented hydrological indices for early warning systems with validation using post-event surveys: flood case studies in the Central Apennine District. Hydrology and earth system sciences. 25(4). 1969–1992. 10 indexed citations

Ferretti, Rossella, et al.. (2020). A meteorological–hydrological regional ensemble forecast for an early-warning system over small Apennine catchments in Central Italy. Hydrology and earth system sciences. 24(6). 3135–3156. 14 indexed citations

Sangelantoni, Lorenzo, et al.. (2019). On the Use of Original and Bias-Corrected Climate Simulations in Regional-Scale Hydrological Scenarios in the Mediterranean Basin. Atmosphere. 10(12). 799–799. 13 indexed citations

Ferretti, Rossella, et al.. (2019). Regional ensemble forecast for early warning system over smallApennine catchments on Central Italy. 10 indexed citations

Tomassetti, Barbara, et al.. (2018). Increasing of severe hydrological events in the Po basin under global warming. EGUGA. 6354. 1 indexed citations

Brossier, Cindy Lebeaupin, Véronique Ducrocq, Marie‐Noëlle Bouin, et al.. (2018). Impact of the representation of the freshwater river input in the Western Mediterranean Sea. Ocean Modelling. 131. 115–131. 5 indexed citations

Aruffo, Eleonora, Fabio Biancofiore, Piero Di Carlo, et al.. (2016). Impact of biomass burning emission on total peroxy nitrates: fire plume identification during the BORTAS campaign. Atmospheric measurement techniques. 9(11). 5591–5606. 6 indexed citations

Fantini, Adriano, Francesca Raffaele, Csaba Zsolt Torma, et al.. (2016). Assessment of multiple daily precipitation statistics in ERA-Interim driven Med-CORDEX and EURO-CORDEX experiments against high resolution observations. Climate Dynamics. 51(3). 877–900. 84 indexed citations

10.

Biancofiore, Fabio, Marco Verdecchia, Piero Di Carlo, et al.. (2015). Analysis of surface ozone using a recurrent neural network. The Science of The Total Environment. 514. 379–387. 65 indexed citations

11.

Coppola, Erika, et al.. (2014). Changing hydrological conditions in the Po basin under global warming. The Science of The Total Environment. 493. 1183–1196. 54 indexed citations

12.

Tomassetti, Barbara, Marco Verdecchia, & Filippo Giorgi. (2009). NN5: A neural network based approach for the downscaling of precipitation fields – Model description and preliminary results. Journal of Hydrology. 367(1-2). 14–26. 29 indexed citations

13.

Coppola, Erika, Barbara Tomassetti, Laura Mariotti, Marco Verdecchia, & Guido Visconti. (2007). Cellular automata algorithms for drainage network extraction and rainfall data assimilation. Hydrological Sciences Journal. 52(3). 579–592. 33 indexed citations

14.

Pace, Loretta, Barbara Tomassetti, Erika Coppola, et al.. (2007). Estimation of fungal spore concentrations associated to meteorological variables. Aerobiologia. 23(3). 221–228. 21 indexed citations

15.

Marzano, Frank S., et al.. (2006). Artificial neural-network technique for precipitation nowcasting from satellite imagery. Advances in geosciences. 7. 97–103. 42 indexed citations

16.

Marzano, Frank S., Domenico Cimini, Erika Coppola, et al.. (2005). Satellite radiometric remote sensing of rainfall fields: multi-sensor retrieval techniques at geostationary scale. Advances in geosciences. 2. 267–272. 7 indexed citations

17.

Tomassetti, Barbara, Erika Coppola, Marco Verdecchia, & Guido Visconti. (2005). Coupling a distributed grid based hydrological model and MM5 meteorological model for flooding alert mapping. Advances in geosciences. 2. 59–63. 20 indexed citations

18.

Tomassetti, Barbara, Filippo Giorgi, Marco Verdecchia, & Guido Visconti. (2003). Regional model simulation of the hydrometeorological effects of the Fucino Lake on the surrounding region. Annales Geophysicae. 21(11). 2219–2232. 10 indexed citations

19.

Grimes, D. I. F., Emery A. Coppola, Marco Verdecchia, & Guido Visconti. (2003). A neural network approach to real-time rainfall estimation for Africa.. 3 indexed citations

20.

Pitari, Giovanni, Guido Visconti, & Marco Verdecchia. (1992). Global ozone depletion and the Antarctic ozone hole. Journal of Geophysical Research Atmospheres. 97(D8). 8075–8082. 5 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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