Gianluca Martelloni

723 total citations
20 papers, 425 citations indexed

About

Gianluca Martelloni is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering and Computational Mechanics. According to data from OpenAlex, Gianluca Martelloni has authored 20 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management, Monitoring, Policy and Law, 5 papers in Civil and Structural Engineering and 4 papers in Computational Mechanics. Recurrent topics in Gianluca Martelloni's work include Landslides and related hazards (8 papers), Soil and Unsaturated Flow (5 papers) and Adaptive optics and wavefront sensing (3 papers). Gianluca Martelloni is often cited by papers focused on Landslides and related hazards (8 papers), Soil and Unsaturated Flow (5 papers) and Adaptive optics and wavefront sensing (3 papers). Gianluca Martelloni collaborates with scholars based in Italy, Spain and Austria. Gianluca Martelloni's co-authors include Riccardo Fanti, Filippo Catani, Samuele Segoni, Franco Bagnoli, Domenico Seminara, Luca Griguolo, Elena Masciadri, Alessio Turchi, Daniela Lagomarsino and Jordi Solé and has published in prestigious journals such as PLoS ONE, Monthly Notices of the Royal Astronomical Society and Physics Letters B.

In The Last Decade

Gianluca Martelloni

18 papers receiving 419 citations

Peers

Gianluca Martelloni

MMPL

GPC

CSE

SRRQ

Gloria Faccanoni France

Shuai Sun China

Isabel Herreros Spain

Ying Peng China

Chuanyin Wang China

Lucas Girard France

Jin Ma China

Benjamin Miquel France

Michele Barsanti Italy

Theodor H. Erismann Switzerland

Gloria Faccanoni France

Gianluca Martelloni

224 ×0.9

MMPL

27 ×0.2

GPC

49 ×0.3

55 ×0.7

CSE

18 ×0.3

SRRQ

Citations per year, relative to Gianluca Martelloni Gianluca Martelloni (= 1×) peers Gloria Faccanoni

Countries citing papers authored by Gianluca Martelloni

Since Specialization

Citations

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

Fields of papers citing papers by Gianluca Martelloni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Martelloni

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Martelloni. A scholar is included among the top collaborators of Gianluca Martelloni 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 Gianluca Martelloni. Gianluca Martelloni 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

Perissi, Ilaria, Gianluca Martelloni, Ugo Bardi, et al.. (2021). Cross-Validation of the MEDEAS Energy-Economy-Environment Model with the Integrated MARKAL-EFOM System (TIMES) and the Long-Range Energy Alternatives Planning System (LEAP). Sustainability. 13(4). 1967–1967. 15 indexed citations

Martelloni, Gianluca, et al.. (2020). Analysis of the evolution of the Sars-Cov-2 in Italy, the role of the asymptomatics and the success of Logistic model. Chaos Solitons & Fractals. 140. 110150–110150. 12 indexed citations

Martelloni, Gianluca, et al.. (2020). Modelling the downhill of the Sars-Cov-2 in Italy and a universal forecast of the epidemic in the world. Chaos Solitons & Fractals. 139. 110064–110064. 14 indexed citations

Samsó, Roger, Ignacio de Blas, Ilaria Perissi, Gianluca Martelloni, & Jordi Solé. (2020). Scenario analysis and sensitivity exploration of the MEDEAS Europe energy-economy-environment model. Energy Strategy Reviews. 32. 100582–100582. 19 indexed citations

Masciadri, Elena, Gianluca Martelloni, & Alessio Turchi. (2020). Optical Turbulence forecast: new perspectives. Imaging and Applied Optics Congress. 436. JW1G.1–JW1G.1. 1 indexed citations

Masciadri, Elena, Gianluca Martelloni, & Alessio Turchi. (2019). Filtering techniques to enhance optical turbulence forecast performances at short time-scales. Monthly Notices of the Royal Astronomical Society. 492(1). 140–152. 19 indexed citations

Turchi, Alessio, Elena Masciadri, F. Kerber, & Gianluca Martelloni. (2018). Forecasting water vapour above the sites of ESO’s Very Large Telescope (VLT) and the Large Binocular Telescope (LBT). Monthly Notices of the Royal Astronomical Society. 9 indexed citations

Martelloni, Gianluca, Franco Bagnoli, & Alessio Guarino. (2017). A 3D model for rain-induced landslides based on molecular dynamics with fractal and fractional water diffusion. Communications in Nonlinear Science and Numerical Simulation. 50. 311–329. 7 indexed citations

Martelloni, Gianluca, et al.. (2016). Generalized maximum entropy approach to quasistationary states in long-range systems. Physical review. E. 93(2). 22107–22107. 4 indexed citations

10.

Martelloni, Gianluca, et al.. (2014). Modeling Warfare in Social Animals: A "Chemical" Approach. PLoS ONE. 9(11). e111310–e111310. 8 indexed citations

11.

Martelloni, Gianluca & Franco Bagnoli. (2013). Particle-based models for hydrologically triggered deep seated landslides. EGU General Assembly Conference Abstracts.

12.

Martelloni, Gianluca & Franco Bagnoli. (2013). Infiltration effects on a two-dimensional molecular dynamics model of landslides. Natural Hazards. 73(1). 37–62. 5 indexed citations

13.

Martelloni, Gianluca, Samuele Segoni, Daniela Lagomarsino, Riccardo Fanti, & Filippo Catani. (2013). Snow accumulation/melting model (SAMM) for integrated use in regional scale landslide early warning systems. Hydrology and earth system sciences. 17(3). 1229–1240. 28 indexed citations

14.

Garfagnoli, Francesca, Gianluca Martelloni, Andrea Ciampalini, Luca Innocenti, & Sandro Moretti. (2013). Two GUIs-based analysis tool for spectroradiometer data pre-processing. Earth Science Informatics. 6(4). 227–240. 7 indexed citations

15.

Martelloni, Gianluca, et al.. (2012). Computational modelling for landslide: molecular dynamic 2D application to shallow and deep landslides. EGU General Assembly Conference Abstracts. 14. 12219.

16.

Martelloni, Gianluca, et al.. (2012). A dynamical population modeling of invasive species with reference to the crayfish Procambarus clarkii.. PubMed. 105(2). 47–69. 3 indexed citations

17.

Griguolo, Luca, et al.. (2012). New supersymmetric Wilson loops in ABJ(M) theories. Physics Letters B. 718(2). 615–619. 45 indexed citations

18.

Martelloni, Gianluca, Franco Bagnoli, & Emanuele Massaro. (2012). A computational toy model for shallow landslides: Molecular dynamics approach. Communications in Nonlinear Science and Numerical Simulation. 18(9). 2479–2492. 8 indexed citations

19.

Massaro, Emanuele, Gianluca Martelloni, & Franco Bagnoli. (2011). Particle based method for shallow landslides: modeling sliding surface lubrication by rainfall. Florence Research (University of Florence). 6 indexed citations

20.

Martelloni, Gianluca, Samuele Segoni, Riccardo Fanti, & Filippo Catani. (2011). Rainfall thresholds for the forecasting of landslide occurrence at regional scale. Landslides. 9(4). 485–495. 215 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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