Marco Berardi

2.0k total citations · 1 hit paper
27 papers, 989 citations indexed

About

Marco Berardi is a scholar working on Civil and Structural Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Marco Berardi has authored 27 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 7 papers in Computational Mechanics and 7 papers in Environmental Engineering. Recurrent topics in Marco Berardi's work include Soil and Unsaturated Flow (9 papers), Advanced Numerical Methods in Computational Mathematics (5 papers) and Numerical methods for differential equations (4 papers). Marco Berardi is often cited by papers focused on Soil and Unsaturated Flow (9 papers), Advanced Numerical Methods in Computational Mathematics (5 papers) and Numerical methods for differential equations (4 papers). Marco Berardi collaborates with scholars based in Italy, Canada and Brazil. Marco Berardi's co-authors include Michele Vurro, L. Lopez, Marcello D’Abbicco, Nicoletta Del Buono, Matteo Icardi, Giuseppe Calamita, Patrizia Gena, Costantino Masciopinto, Maria Clementina Caputo and Lorenzo De Carlo and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Sensors and Computer Physics Communications.

In The Last Decade

Marco Berardi

25 papers receiving 905 citations

Hit Papers

Credit Rationing in Markets With Imperfect Information 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Berardi Italy 14 401 363 308 99 85 27 989
Thierry Roncalli France 19 850 2.1× 186 0.5× 1.5k 4.8× 22 0.2× 27 0.3× 95 2.0k
Elisa Luciano Italy 20 1.1k 2.6× 200 0.6× 1.4k 4.7× 21 0.2× 79 0.9× 85 2.3k
Emiliano A. Valdez United States 24 974 2.4× 238 0.7× 1.1k 3.6× 24 0.2× 11 0.1× 88 2.7k
Steven C. Hillmer United States 18 593 1.5× 71 0.2× 317 1.0× 27 0.3× 37 0.4× 39 1.7k
Manfred Gilli Switzerland 15 566 1.4× 47 0.1× 555 1.8× 21 0.2× 12 0.1× 64 1.2k
Ajai K. Singh United States 23 453 1.1× 2.1k 5.9× 1.4k 4.6× 64 0.6× 35 0.4× 76 2.7k
Kilani Ghoudi United Arab Emirates 13 374 0.9× 23 0.1× 881 2.9× 19 0.2× 39 0.5× 44 1.6k
Robert F. Nau United States 17 560 1.4× 49 0.1× 471 1.5× 83 0.8× 31 0.4× 32 1.2k
Zhenyu Gao China 11 506 1.3× 147 0.4× 347 1.1× 20 0.2× 8 0.1× 46 1.0k

Countries citing papers authored by Marco Berardi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Berardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Berardi

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

All Works

20 of 20 papers shown
1.
Alla, Alessandro, et al.. (2025). State Dependent Riccati for dynamic boundary control to optimize irrigation in Richards’ equation framework. Mathematics and Computers in Simulation. 232. 261–275.
2.
Masciopinto, Costantino & Marco Berardi. (2025). Bridging the lab- to field-scale solutions of Navier–Stokes equations to study seawater intrusion in fractures. Engineering With Computers. 41(6). 3985–4001.
3.
Berardi, Marco, et al.. (2024). Inverse Physics-Informed Neural Networks for transport models in porous materials. Computer Methods in Applied Mechanics and Engineering. 435. 117628–117628. 13 indexed citations
4.
Cola, Vincenzo Schiano Di, et al.. (2024). Investigating neural networks with groundwater flow equation loss. Mathematics and Computers in Simulation. 230. 80–93. 2 indexed citations
5.
Berardi, Marco, et al.. (2023). A preliminary model for optimal control of moisture content in unsaturated soils. Computational Geosciences. 27(6). 1133–1144. 5 indexed citations
6.
Berardi, Marco, et al.. (2023). Network dynamics for modelling artificial groundwater recharge by a cluster of infiltration basins. Hydrological Processes. 37(5). 6 indexed citations
7.
Berardi, Marco, et al.. (2023). A numerical method for a nonlocal form of Richards' equation based on peridynamic theory. Computers & Mathematics with Applications. 143. 23–32. 9 indexed citations
8.
Berardi, Marco, et al.. (2023). Modeling plant water deficit by a non-local root water uptake term in the unsaturated flow equation. Communications in Nonlinear Science and Numerical Simulation. 128. 107583–107583. 11 indexed citations
9.
Buono, Nicoletta Del, et al.. (2022). Soil Moisture Sensor Information Enhanced by Statistical Methods in a Reclaimed Water Irrigation Framework. Sensors. 22(20). 8062–8062. 2 indexed citations
10.
Berardi, Marco, et al.. (2022). A quadrature-based scheme for numerical solutions to Kirchhoff transformed Richards' equation. 9(2). 69–69. 14 indexed citations
11.
Masciopinto, Costantino, et al.. (2021). Shooting the Numerical Solution of Moisture Flow Equation with Root Water Uptake Models: A Python Tool. Water Resources Management. 35(8). 2553–2567. 16 indexed citations
12.
Berardi, Marco, et al.. (2019). A mixed MoL–TMoL for the numerical solution of the 2D Richards’ equation in layered soils. Computers & Mathematics with Applications. 79(7). 1990–2001. 33 indexed citations
13.
Carlo, Lorenzo De, Marco Berardi, Michele Vurro, & Maria Clementina Caputo. (2018). Geophysical and hydrological data assimilation to monitor water content dynamics in the rocky unsaturated zone. Environmental Monitoring and Assessment. 190(5). 310–310. 13 indexed citations
14.
Berardi, Marco, et al.. (2018). A transversal method of lines for the numerical modeling of vertical infiltration into the vadose zone. Applied Numerical Mathematics. 135. 264–275. 21 indexed citations
15.
Gena, Patrizia, Nicoletta Del Buono, Marcello D’Abbicco, et al.. (2016). Dynamical modeling of liver Aquaporin-9 expression and glycerol permeability in hepatic glucose metabolism. European Journal of Cell Biology. 96(1). 61–69. 22 indexed citations
16.
Berardi, Marco, et al.. (2016). A new data assimilation technique based on ensemble Kalman filter and Brownian bridges: An application to Richards’ equation. Computer Physics Communications. 208. 43–53. 22 indexed citations
17.
D’Abbicco, Marcello, Nicoletta Del Buono, Patrizia Gena, et al.. (2015). A model for the hepatic glucose metabolism based on Hill and step functions. Journal of Computational and Applied Mathematics. 292. 746–759. 8 indexed citations
18.
Berardi, Marco. (2013). Rosenbrock-type methods applied to discontinuous differential systems. Mathematics and Computers in Simulation. 95. 229–243. 10 indexed citations
19.
Berardi, Marco & L. Lopez. (2011). On the continuous extension of Adams–Bashforth methods and the event location in discontinuous ODEs. Applied Mathematics Letters. 25(6). 995–999. 19 indexed citations
20.
Berardi, Marco. (2007). Credit Rationing in Markets With Imperfect Information. SSRN Electronic Journal. 668 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026