Gregorio D’Agostino

1.3k total citations
37 papers, 887 citations indexed

About

Gregorio D’Agostino is a scholar working on Statistical and Nonlinear Physics, Materials Chemistry and Atmospheric Science. According to data from OpenAlex, Gregorio D’Agostino has authored 37 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 13 papers in Materials Chemistry and 7 papers in Atmospheric Science. Recurrent topics in Gregorio D’Agostino's work include Complex Network Analysis Techniques (13 papers), nanoparticles nucleation surface interactions (7 papers) and Opinion Dynamics and Social Influence (7 papers). Gregorio D’Agostino is often cited by papers focused on Complex Network Analysis Techniques (13 papers), nanoparticles nucleation surface interactions (7 papers) and Opinion Dynamics and Social Influence (7 papers). Gregorio D’Agostino collaborates with scholars based in Italy, United Kingdom and United States. Gregorio D’Agostino's co-authors include Antonio Scala, H. Eugene Stanley, Di Zhou, Piet Van Mieghem, Guido Caldarelli, S. Mobilio, Shlomo Havlin, Huijuan Wang, Qian Li and Vinko Zlatić and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

Gregorio D’Agostino

35 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregorio D’Agostino Italy 12 470 181 134 104 75 37 887
G. J. Rodgers United Kingdom 20 877 1.9× 232 1.3× 103 0.8× 14 0.1× 30 0.4× 83 1.5k
David Griffeath United States 26 536 1.1× 104 0.6× 76 0.6× 14 0.1× 67 0.9× 64 1.9k
Jie Zhou China 22 886 1.9× 329 1.8× 101 0.8× 59 0.6× 6 0.1× 118 1.6k
Alfred Hübler United States 20 615 1.3× 380 2.1× 135 1.0× 14 0.1× 20 0.3× 84 1.2k
Supriya Krishnamurthy Sweden 16 383 0.8× 102 0.6× 92 0.7× 42 0.4× 22 0.3× 47 945
Chengjun Zhang China 15 352 0.7× 95 0.5× 44 0.3× 17 0.2× 39 0.5× 60 1.1k
Yan-Dong Chu China 20 476 1.0× 432 2.4× 241 1.8× 29 0.3× 8 0.1× 83 1.1k
Cristian F. Moukarzel Mexico 15 267 0.6× 67 0.4× 395 2.9× 86 0.8× 11 0.1× 53 970
Danilo Sergi Switzerland 7 337 0.7× 53 0.3× 86 0.6× 9 0.1× 45 0.6× 8 746

Countries citing papers authored by Gregorio D’Agostino

Since Specialization
Citations

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

Fields of papers citing papers by Gregorio D’Agostino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregorio D’Agostino

This figure shows the co-authorship network connecting the top 25 collaborators of Gregorio D’Agostino. A scholar is included among the top collaborators of Gregorio D’Agostino 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 Gregorio D’Agostino. Gregorio D’Agostino 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’Agostino, Gregorio, et al.. (2025). OPT-RecSIM: An optimization-simulation integrated system for the repair sequence optimization problem. Electric Power Systems Research. 249. 111995–111995.
2.
D’Agostino, Gregorio, et al.. (2021). Operational Resilience Metrics for Complex Inter-Dependent Electrical Networks. Applied Sciences. 11(13). 5842–5842. 7 indexed citations
3.
D’Agostino, Gregorio & Antonio De Nicola. (2016). Interests diffusion on a semantic multiplex. The European Physical Journal Special Topics. 225(10). 2033–2045. 1 indexed citations
4.
Scala, Antonio, Vinko Zlatić, Guido Caldarelli, & Gregorio D’Agostino. (2016). Mitigating cascades in sandpile models: an immunization strategy for systemic risk?. The European Physical Journal Special Topics. 225(10). 2017–2023. 5 indexed citations
5.
D’Agostino, Gregorio, et al.. (2016). Adopting the cloud to manage the electricity grid. ENEA Open Archive (National Agency for New Technologies, Energy and Sustainable Economic Development). 50. 1–6. 1 indexed citations
6.
Scala, Antonio, et al.. (2015). Cascades in interdependent flow networks. Physica D Nonlinear Phenomena. 323-324. 35–39. 31 indexed citations
7.
D’Agostino, Gregorio, et al.. (2014). Epidemic Fault Propagation and Synchronization for Networks of Networks. Bulletin of the American Physical Society. 2014. 1 indexed citations
8.
Braunstein, Lidia A., et al.. (2014). When a Text Is Translated Does the Complexity of Its Vocabulary Change? Translations and Target Readerships. PLoS ONE. 9(10). e110213–e110213. 7 indexed citations
9.
Wang, H., et al.. (2014). Algebraic connectivity of interdependent networks. Physica A Statistical Mechanics and its Applications. 404. 92–105. 45 indexed citations
10.
Wang, Huijuan, Qian Li, Gregorio D’Agostino, et al.. (2013). Effect of the interconnected network structure on the epidemic threshold. Physical Review E. 88(2). 22801–22801. 120 indexed citations
11.
Zhou, Di, H. Eugene Stanley, Gregorio D’Agostino, & Antonio Scala. (2012). Assortativity decreases the robustness of interdependent networks. Physical Review E. 86(6). 66103–66103. 145 indexed citations
12.
D’Agostino, Gregorio, et al.. (2010). Methodologies for inter-dependency assessment. IRIS Research product catalog (Sapienza University of Rome). 1–7. 12 indexed citations
13.
Caglià, A., et al.. (2004). Typing of 20 Y-chromosome STRs in the Italian population. Forensic Science International. 146. S135–S138. 5 indexed citations
14.
Cleri, Fabrizio & Gregorio D’Agostino. (2002). Multiphase microstructure evolution model including dislocation plasticity. Journal of materials research/Pratt's guide to venture capital sources. 17(8). 1932–1940. 1 indexed citations
15.
Cleri, Fabrizio, Gregorio D’Agostino, A. Satta, & Luciano Colombo. (2002). Microstructure evolution from the atomic scale up. Computational Materials Science. 24(1-2). 21–27. 10 indexed citations
16.
Cardellini, F., V. Contini, Gregorio D’Agostino, & A. Filipponi. (1998). On X-Ray Diffraction and X-Ray Absorption Spectroscopy Characterization of Ball Milled Iron Copper Solid Solution. Materials science forum. 269-272. 473–478. 3 indexed citations
17.
D’Agostino, Gregorio. (1997). Phonon properties of transition-metal clusters. Philosophical Magazine B. 76(4). 433–440. 6 indexed citations
18.
D’Agostino, Gregorio. (1995). Icosahedral Order in Transition Metal Clusters. Materials science forum. 195. 149–154. 9 indexed citations
19.
Pennisi, A., et al.. (1995). Evidence for truncated octahedral structures in supported gold clusters. Physical review. B, Condensed matter. 51(8). 5315–5321. 63 indexed citations
20.
D’Agostino, Gregorio. (1993). Copper clusters simulated by a many-body tight-binding potential. Philosophical Magazine B. 68(6). 903–911. 17 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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