Donato D’Ambrosio

1.3k total citations
49 papers, 784 citations indexed

About

Donato D’Ambrosio is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Donato D’Ambrosio has authored 49 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Theory and Mathematics, 20 papers in Computer Networks and Communications and 14 papers in Computational Mechanics. Recurrent topics in Donato D’Ambrosio's work include Cellular Automata and Applications (35 papers), Advanced Data Storage Technologies (17 papers) and Lattice Boltzmann Simulation Studies (13 papers). Donato D’Ambrosio is often cited by papers focused on Cellular Automata and Applications (35 papers), Advanced Data Storage Technologies (17 papers) and Lattice Boltzmann Simulation Studies (13 papers). Donato D’Ambrosio collaborates with scholars based in Italy, United Kingdom and Netherlands. Donato D’Ambrosio's co-authors include William Spataro, Salvatore Di Gregorio, Giulio Iovine, Rocco Rongo, Giuseppe A. Trunfio, Salvatore Gabriele, Roberto Gaudio, Valeria Lupiano, Maria Vittoria Avolio and Hideaki Miyamoto and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geomorphology and Geological Society London Special Publications.

In The Last Decade

Donato D’Ambrosio

45 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donato D’Ambrosio Italy 16 288 252 170 157 151 49 784
Rocco Rongo Italy 17 323 1.1× 244 1.0× 133 0.8× 193 1.2× 129 0.9× 51 783
William Spataro Italy 19 457 1.6× 324 1.3× 175 1.0× 272 1.7× 196 1.3× 73 1.1k
B. S. Daya Sagar India 15 51 0.2× 104 0.4× 81 0.5× 71 0.5× 20 0.1× 83 804
Jérôme Leroux France 10 133 0.5× 206 0.8× 73 0.4× 22 0.1× 19 0.1× 34 1.2k
Ana Cortés Spain 16 29 0.1× 157 0.6× 397 2.3× 138 0.9× 26 0.2× 84 767
Christopher Gold United Kingdom 16 19 0.1× 31 0.1× 66 0.4× 71 0.5× 64 0.4× 46 895
Daniel W. Watson United States 13 33 0.1× 21 0.1× 107 0.6× 131 0.8× 27 0.2× 31 641
Xinming Tang China 16 18 0.1× 43 0.2× 139 0.8× 39 0.2× 27 0.2× 77 938
Éric Galin France 22 17 0.1× 78 0.3× 79 0.5× 11 0.1× 606 4.0× 70 1.5k
Jinghui Fan China 14 65 0.2× 99 0.4× 26 0.2× 13 0.1× 6 0.0× 58 576

Countries citing papers authored by Donato D’Ambrosio

Since Specialization
Citations

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

Fields of papers citing papers by Donato D’Ambrosio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donato D’Ambrosio

This figure shows the co-authorship network connecting the top 25 collaborators of Donato D’Ambrosio. A scholar is included among the top collaborators of Donato D’Ambrosio 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 Donato D’Ambrosio. Donato D’Ambrosio 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.
D’Ambrosio, Donato, et al.. (2025). GA SAKe 2.0-An Advanced Hydrological Model for Predicting the Timing of Landslide Activations. Journal of Environmental Informatics. 1 indexed citations
2.
Giordano, Andrea, et al.. (2023). OpenCAL++: An object-oriented architecture for transparent Parallel Execution of Cellular Automata models. UPCommons institutional repository (Universitat Politècnica de Catalunya). 244–251.
3.
Napoli, Pietro Emanuele, et al.. (2018). Structured Grid-Based Parallel Simulation of a Simple DEM Model on Heterogeneous Systems. 588–595. 5 indexed citations
4.
Spataro, William, et al.. (2018). A first multi-GPU/multi-node implementation of the open computing abstraction layer. Journal of Computational Science. 32. 115–124. 11 indexed citations
5.
Senatore, Alfonso, Donato D’Ambrosio, Rocco Rongo, et al.. (2016). Accelerating a three-dimensional eco-hydrological cellular automaton on GPGPU with OpenCL. AIP conference proceedings. 1776. 80003–80003. 3 indexed citations
6.
Spataro, William, et al.. (2015). CUDA Dynamic Active Thread List Strategy to Accelerate Debris Flow Simulations. 316–320. 4 indexed citations
7.
Lucà, Federica, Donato D’Ambrosio, Gaetano Robustelli, Rocco Rongo, & William Spataro. (2014). Integrating geomorphology, statistic and numerical simulations for landslide invasion hazard scenarios mapping: An example in the Sorrento Peninsula (Italy). Computers & Geosciences. 67. 163–172. 26 indexed citations
8.
D’Ambrosio, Donato, et al.. (2013). Non-uniform grid-based susceptibility evaluations: an application to flow-type phenomena at Mount Etna. Bollettino Della Societa Geologica Italiana. 1 indexed citations
9.
Spataro, William, et al.. (2010). A Multithread Scientific Library for Complex Systems.. 47–54. 1 indexed citations
10.
D’Ambrosio, Donato, et al.. (2009). A Dynamically Load Balanced Cellular Automata Library for Scientific Computing.. 69(6). 322–328. 2 indexed citations
11.
Spataro, William, Donato D’Ambrosio, Maria Vittoria Avolio, Rocco Rongo, & Salvatore Di Gregorio. (2008). Complex Systems Modeling with Cellular Automata and Genetic Algorithms: An Application to Lava Flows.. 35(31). 44–50. 3 indexed citations
12.
D’Ambrosio, Donato, et al.. (2008). An Example of Web Application for Scientific Simulation. Summer Computer Simulation Conference.
13.
D’Ambrosio, Donato, et al.. (2008). Modeling Complex Natural Phenomena with the libAuToti Cellular Automata Library: An example of Application to Lava Flows Simulation.. Parallel and Distributed Processing Techniques and Applications. 277–283. 8 indexed citations
14.
Rongo, Rocco, William Spataro, Donato D’Ambrosio, et al.. (2008). Lava Flow Hazard Evaluation Through Cellular Automata and Genetic Algorithms: an Application to Mt Etna Volcano. Fundamenta Informaticae. 87(2). 247–267. 26 indexed citations
15.
D’Ambrosio, Donato, Giulio Iovine, William Spataro, & Hideaki Miyamoto. (2006). A macroscopic collisional model for debris-flows simulation. Environmental Modelling & Software. 22(10). 1417–1436. 43 indexed citations
16.
D’Ambrosio, Donato, William Spataro, Salvatore Di Gregorio, Gino Mirocle Crisci, & Rocco Rongo. (2005). Parallel Genetic Algorithms for calibrating Cellular Automata models: Application to lava flows. 28(2). 115. 5 indexed citations
17.
Iovine, Giulio, Donato D’Ambrosio, & Salvatore Di Gregorio. (2004). Applying genetic algorithms for calibrating a hexagonal cellular automata model for the simulation of debris flows characterised by strong inertial effects. Geomorphology. 66(1-4). 287–303. 58 indexed citations
18.
D’Ambrosio, Donato & Giulio Iovine. (2003). Applying genetic algorithms in a parallel computing environment for optimising parameters of complex cellular automata models: the case of SCIDDICA S3hex. EAEJA. 2807. 1 indexed citations
19.
Avolio, Maria Vittoria, Gino Mirocle Crisci, Donato D’Ambrosio, et al.. (2003). An extended notion of Cellular Automata for surface flows modelling. 1080–1085. 10 indexed citations
20.
D’Ambrosio, Donato, Salvatore Di Gregorio, Giulio Iovine, et al.. (2002). Simulating the Curti–Sarno debris flow through cellular automata: the model SCIDDICA (release S2). Physics and Chemistry of the Earth Parts A/B/C. 27(36). 1577–1585. 15 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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