Marco D’Oria

957 total citations
42 papers, 682 citations indexed

About

Marco D’Oria is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Marco D’Oria has authored 42 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 18 papers in Environmental Engineering and 16 papers in Water Science and Technology. Recurrent topics in Marco D’Oria's work include Hydrology and Watershed Management Studies (16 papers), Groundwater flow and contamination studies (16 papers) and Flood Risk Assessment and Management (13 papers). Marco D’Oria is often cited by papers focused on Hydrology and Watershed Management Studies (16 papers), Groundwater flow and contamination studies (16 papers) and Flood Risk Assessment and Management (13 papers). Marco D’Oria collaborates with scholars based in Italy, Spain and Germany. Marco D’Oria's co-authors include Maria Giovanna Tanda, Andrea Maranzoni, Valeria Todaro, A. Zanini, Paolo Mignosa, J. Jaime Gómez‐Hernández, Maurizio Mazzoleni, Michael N. Fienen, J. E. Doherty and Randall J. Hunt and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Journal of Hydrology.

In The Last Decade

Marco D’Oria

40 papers receiving 657 citations

Peers

Marco D’Oria

GPC

WST

Carolina Guardiola‐Albert Spain

Jonathan Mackay United Kingdom

Maria Giovanna Tanda Italy

Zhenxiang Xing China

Jens‐Olaf Delfs Germany

Giorgio Galeati Italy

Adrien Guyot Australia

Mary C. Hill United States

Amai Mahesha India

Fatemeh Falah Iran

Carolina Guardiola‐Albert Spain

Marco D’Oria

220 ×0.6

GPC

166 ×0.6

WST

274 ×1.2

114 ×0.8

137 ×1.3

Citations per year, relative to Marco D’Oria Marco D’Oria (= 1×) peers Carolina Guardiola‐Albert

Countries citing papers authored by Marco D’Oria

Since Specialization

Citations

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

Fields of papers citing papers by Marco D’Oria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco D’Oria

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

D’Oria, Marco, Alberto Viglione, Nadım K. Copty, et al.. (2025). Direct impact of climate change on groundwater levels in the Iberian Peninsula. The Science of The Total Environment. 970. 179009–179009. 3 indexed citations

Zanini, A. & Marco D’Oria. (2024). Special Issue: Geostatistics Applied to Environmental Applications. Mathematical Geosciences. 56(1). 1–2. 1 indexed citations

Todaro, Valeria, Marco D’Oria, A. Zanini, J. Jaime Gómez‐Hernández, & Maria Giovanna Tanda. (2023). Experimental sandbox tracer tests to characterize a two-facies aquifer via an ensemble smoother. Hydrogeology Journal. 31(6). 1665–1678. 7 indexed citations

Todaro, Valeria, et al.. (2023). Combining Hydrological Modeling and Regional Climate Projections to Assess the Climate Change Impact on the Water Resources of Dam Reservoirs. Water. 15(24). 4243–4243. 6 indexed citations

Maranzoni, Andrea, et al.. (2023). Probabilistic mapping of life loss due to dam-break flooding. Natural Hazards. 120(3). 2433–2460. 9 indexed citations

Maranzoni, Andrea, et al.. (2023). Probabilistic mapping and sensitivity assessment of dam-break flood hazard. Hydrological Sciences Journal. 68(5). 700–718. 14 indexed citations

Todaro, Valeria, et al.. (2022). Climate Change over the Mediterranean Region: Local Temperature and Precipitation Variations at Five Pilot Sites. Water. 14(16). 2499–2499. 70 indexed citations

Todaro, Valeria, Marco D’Oria, Maria Giovanna Tanda, & J. Jaime Gómez‐Hernández. (2022). genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation. Computers & Geosciences. 167. 105210–105210. 10 indexed citations

D’Oria, Marco, Paolo Mignosa, Maria Giovanna Tanda, & Valeria Todaro. (2021). Estimation of levee breach discharge hydrographs: comparison of inverse approaches. Hydrological Sciences Journal. 67(1). 54–64. 5 indexed citations

10.

Zanini, A., Marco D’Oria, Maria Giovanna Tanda, & Allan D. Woodbury. (2020). Coupling Empirical Bayes and Akaike’s Bayesian Information Criterion to Estimate Aquifer Transmissivity Fields. Mathematical Geosciences. 52(3). 425–441. 4 indexed citations

11.

D’Oria, Marco & A. Zanini. (2019). Characterization of Hydraulic Heterogeneity of Alluvial Aquifer Using Natural Stimuli: A Field Experience of Northern Italy. Water. 11(1). 176–176. 9 indexed citations

12.

D’Oria, Marco, Maria Giovanna Tanda, & Valeria Todaro. (2018). Assessment of Local Climate Change: Historical Trends and RCM Multi-Model Projections Over the Salento Area (Italy). Water. 10(8). 978–978. 14 indexed citations

13.

Ferrari, Alessia, Marco D’Oria, Renato Vacondio, et al.. (2018). Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model. Hydrology and earth system sciences. 22(10). 5299–5316. 8 indexed citations

14.

D’Oria, Marco, et al.. (2018). Quantifying the impacts of climate change on water resources in northern Tuscany, Italy, using high‐resolution regional projections. Hydrological Processes. 33(6). 978–993. 15 indexed citations

15.

D’Oria, Marco, et al.. (2017). Oscillatory Pumping Test to Estimate Aquifer Hydraulic Parameters in a Bayesian Geostatistical Framework. Mathematical Geosciences. 50(2). 169–186. 15 indexed citations

16.

D’Oria, Marco, Alessia Ferrari, Paolo Mignosa, Maria Giovanna Tanda, & Renato Vacondio. (2017). Reverse Flow Routing in a Bayesian Framework Using a GPU-accelerated 2D Shallow Water Model. AGUFM. 2017. 1 indexed citations

17.

D’Oria, Marco, Paolo Mignosa, & Maria Giovanna Tanda. (2016). Evaluation of the flow released from a levee breach through a Bayesian inverse methodology. 33. 1958–1966. 3 indexed citations

18.

D’Oria, Marco & Michael N. Fienen. (2011). MODFLOW‐Style Parameters in Underdetermined Parameter Estimation. Ground Water. 50(1). 149–153. 5 indexed citations

19.

D’Oria, Marco. (2001). La marina mercantile a vela in Liguria dalla metà dell’Ottocento alla prima guerra mondiale. CINECA IRIS Institutial Research Information System (University of Genoa). 83–107. 1 indexed citations

20.

D’Oria, Marco. (1989). Ansaldo (1853-1966) : L'impresa e lo Stato. Cadmus - EUI Research Repository (European University Institute). 4 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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