Rocco Rongo

1.3k total citations
51 papers, 783 citations indexed

About

Rocco Rongo is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Rocco Rongo has authored 51 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Theory and Mathematics, 18 papers in Computer Networks and Communications and 11 papers in Computational Mechanics. Recurrent topics in Rocco Rongo's work include Cellular Automata and Applications (35 papers), Advanced Data Storage Technologies (16 papers) and Lattice Boltzmann Simulation Studies (9 papers). Rocco Rongo is often cited by papers focused on Cellular Automata and Applications (35 papers), Advanced Data Storage Technologies (16 papers) and Lattice Boltzmann Simulation Studies (9 papers). Rocco Rongo collaborates with scholars based in Italy, United Kingdom and Netherlands. Rocco Rongo's co-authors include William Spataro, Salvatore Di Gregorio, Donato D’Ambrosio, Gino Mirocle Crisci, Giuseppe A. Trunfio, Maria Vittoria Avolio, Domenico Talia, Giandomenico Spezzano, Valeria Lupiano and Giulio Iovine and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geomorphology and Journal of Proteome Research.

In The Last Decade

Rocco Rongo

47 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rocco Rongo Italy 17 323 244 193 138 133 51 783
Donato D’Ambrosio Italy 16 288 0.9× 252 1.0× 157 0.8× 107 0.8× 170 1.3× 49 784
William Spataro Italy 19 457 1.4× 324 1.3× 272 1.4× 157 1.1× 175 1.3× 73 1.1k
Salvatore Di Gregorio Italy 22 496 1.5× 485 2.0× 250 1.3× 234 1.7× 303 2.3× 72 1.4k
David Michéa France 11 50 0.2× 82 0.3× 65 0.3× 72 0.5× 50 0.4× 20 789
B. S. Daya Sagar India 15 51 0.2× 104 0.4× 71 0.4× 71 0.5× 81 0.6× 83 804
Ana Cortés Spain 16 29 0.1× 157 0.6× 138 0.7× 108 0.8× 397 3.0× 84 767
David A. Ham United Kingdom 18 83 0.3× 7 0.0× 53 0.3× 175 1.3× 37 0.3× 53 784
Kevin Amaratunga United States 11 46 0.1× 37 0.2× 5 0.0× 79 0.6× 54 0.4× 20 722
Shu Li China 12 74 0.2× 15 0.1× 141 0.7× 49 0.4× 40 0.3× 47 433
Xinming Tang China 16 18 0.1× 43 0.2× 39 0.2× 117 0.8× 139 1.0× 77 938

Countries citing papers authored by Rocco Rongo

Since Specialization
Citations

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

Fields of papers citing papers by Rocco Rongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rocco Rongo

This figure shows the co-authorship network connecting the top 25 collaborators of Rocco Rongo. A scholar is included among the top collaborators of Rocco Rongo 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 Rocco Rongo. Rocco Rongo 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.
Giordano, Andrea, et al.. (2023). Tailoring load balancing of cellular automata parallel execution to the case of a two-dimensional partitioned domain. The Journal of Supercomputing. 79(8). 9273–9287. 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.
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
4.
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
5.
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
6.
Spataro, William, et al.. (2010). A Multithread Scientific Library for Complex Systems.. 47–54. 1 indexed citations
7.
D’Ambrosio, Donato, et al.. (2009). A Dynamically Load Balanced Cellular Automata Library for Scientific Computing.. 69(6). 322–328. 2 indexed citations
8.
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
9.
D’Ambrosio, Donato, et al.. (2008). An Example of Web Application for Scientific Simulation. Summer Computer Simulation Conference.
10.
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
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, 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
13.
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
14.
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
15.
Crisci, Gino Mirocle, Salvatore Di Gregorio, Rocco Rongo, William Spataro, & Fiore Pasquale Nicoletta. (1999). Analysing Lava Risk for the Etnean Area: Simulation by Cellular Automata Methods. Natural Hazards. 20(2-3). 215–229. 21 indexed citations
16.
Gregorio, Salvatore Di, et al.. (1997). SCIDDICA-3: a cellular automata model for landslide simulation. IOS Press eBooks. 324–330. 7 indexed citations
17.
Gregorio, Salvatore Di, Rocco Rongo, William Spataro, Giandomenico Spezzano, & Domenico Talia. (1997). High performance scientific computing by a parallel cellular environment. Future Generation Computer Systems. 12(5). 357–369. 11 indexed citations
18.
Gregorio, Salvatore Di, Rocco Rongo, Roberto Serra, et al.. (1996). Parallel Simulation of Soil Contamination by Cellular Automata.. 295–297.
19.
Spezzano, Giandomenico, Domenico Talia, Salvatore Di Gregorio, Rocco Rongo, & William Spataro. (1996). A parallel cellular tool for interactive modeling and simulation. 3(3). 33–43. 49 indexed citations
20.
Gregorio, Salvatore Di, Demetrio Carmine Festa, Rocco Rongo, et al.. (1995). A Microscopic Freeway Traffic Simulator on a Highly Parallel System.. 69–76. 7 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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