Massimo Materassi

1.2k total citations
51 papers, 813 citations indexed

About

Massimo Materassi is a scholar working on Astronomy and Astrophysics, Geophysics and Molecular Biology. According to data from OpenAlex, Massimo Materassi has authored 51 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 18 papers in Geophysics and 14 papers in Molecular Biology. Recurrent topics in Massimo Materassi's work include Ionosphere and magnetosphere dynamics (22 papers), Earthquake Detection and Analysis (18 papers) and Solar and Space Plasma Dynamics (12 papers). Massimo Materassi is often cited by papers focused on Ionosphere and magnetosphere dynamics (22 papers), Earthquake Detection and Analysis (18 papers) and Solar and Space Plasma Dynamics (12 papers). Massimo Materassi collaborates with scholars based in Italy, United Kingdom and United States. Massimo Materassi's co-authors include Antonio Cicone, Lucilla Alfonsi, A. W. Wernik, Cathryn N. Mitchell, Giuseppe Consolini, Mirko Piersanti, Nathan D. Smith, Luca Spogli, P. Spalla and Roberta Tozzi and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Massimo Materassi

50 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Materassi Italy 17 426 274 213 141 101 51 813
M.J.A. Bolzan Brazil 18 522 1.2× 302 1.1× 122 0.6× 247 1.8× 40 0.4× 62 796
Alain Vincent Canada 15 255 0.6× 198 0.7× 113 0.5× 105 0.7× 75 0.7× 53 1.6k
F. Cavallini Italy 23 540 1.3× 648 2.4× 44 0.2× 117 0.8× 61 0.6× 87 1.6k
Margarete Oliveira Domingues Brazil 13 236 0.6× 187 0.7× 18 0.1× 144 1.0× 32 0.3× 67 666
Zhou Chen China 14 460 1.1× 238 0.9× 125 0.6× 127 0.9× 57 0.6× 87 713
S.P. Kingsley United Kingdom 18 260 0.6× 247 0.9× 405 1.9× 49 0.3× 202 2.0× 66 997
Zebing Zhou China 20 446 1.0× 210 0.8× 406 1.9× 113 0.8× 338 3.3× 136 1.3k
Robert M. Manning United States 18 1.5k 3.5× 148 0.5× 596 2.8× 220 1.6× 63 0.6× 66 2.1k
Koji Ohkitani Japan 20 295 0.7× 32 0.1× 60 0.3× 104 0.7× 81 0.8× 81 1.7k
K. R. Sreenivasan United States 19 197 0.5× 48 0.2× 299 1.4× 47 0.3× 44 0.4× 58 1.6k

Countries citing papers authored by Massimo Materassi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Materassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Materassi

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Materassi. A scholar is included among the top collaborators of Massimo Materassi 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 Massimo Materassi. Massimo Materassi 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.
Materassi, Massimo, Yenca Migoya‐Orué, S. M. Radicella, Tommaso Alberti, & Giuseppe Consolini. (2024). Multi-Time-Scale Analysis of Chaos and Predictability in vTEC. Atmosphere. 15(1). 84–84. 1 indexed citations
2.
Consolini, Giuseppe, et al.. (2024). On the evolution equations of velocity field gradient tensor invariants in different turbulent heliospheric regions. Chaos Solitons & Fractals. 191. 115900–115900.
3.
Materassi, Massimo, Tommaso Alberti, Yenca Migoya‐Orué, S. M. Radicella, & Giuseppe Consolini. (2023). Chaos and Predictability in Ionospheric Time Series. Entropy. 25(2). 368–368. 6 indexed citations
4.
Carbone, V., Mirko Piersanti, Massimo Materassi, et al.. (2021). A mathematical model of lithosphere–atmosphere coupling for seismic events. Scientific Reports. 11(1). 8682–8682. 23 indexed citations
5.
Materassi, Massimo. (2020). Stochastic Lagrangians for noisy dynamics. Chaos Solitons & Fractals. 134. 109713–109713. 1 indexed citations
6.
Piersanti, Mirko, Massimo Materassi, R. Battiston, et al.. (2020). Magnetospheric–Ionospheric–Lithospheric Coupling Model. 1: Observations during the 5 August 2018 Bayan Earthquake. Remote Sensing. 12(20). 3299–3299. 46 indexed citations
7.
Consolini, Giuseppe & Massimo Materassi. (2020). A stretched logistic equation for pandemic spreading. Chaos Solitons & Fractals. 140. 110113–110113. 13 indexed citations
8.
Cicone, Antonio, et al.. (2020). New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms. Scientific Reports. 10(1). 15161–15161. 121 indexed citations
9.
Consolini, Giuseppe, et al.. (2019). On Geometrical Invariants of the Magnetic Field Gradient Tensor in Turbulent Space Plasmas: Scale Variability in the Inertial Range. The Astrophysical Journal. 878(2). 124–124. 10 indexed citations
10.
Materassi, Massimo. (2019). Stochastic field theory for the ionospheric fluctuations in Equatorial Spread F. Chaos Solitons & Fractals. 121. 186–210. 2 indexed citations
11.
Spogli, Luca, Mirko Piersanti, Claudio Cesaroni, et al.. (2019). Role of the external drivers in the occurrence of low-latitude ionospheric scintillation revealed by multi-scale analysis. Journal of Space Weather and Space Climate. 9. A35–A35. 16 indexed citations
13.
Materassi, Massimo, Giuseppe Consolini, Nathan D. Smith, & Rossana De Marco. (2014). Information Theory Analysis of Cascading Process in a Synthetic Model of Fluid Turbulence. Entropy. 16(3). 1272–1286. 19 indexed citations
14.
Materassi, Massimo, et al.. (2012). Algebrizing friction: a brief look at the Metriplectic Formalism. 1(3). 45–52. 1 indexed citations
15.
Materassi, Massimo. (2010). Stochastic Lagrangian for the 2D Visco-Resistive Magneto-Hydrodynamics. EGU General Assembly Conference Abstracts. 10892. 1 indexed citations
16.
Michelis, Paola De, Giuseppe Consolini, Massimo Materassi, & Roberta Tozzi. (2008). An Information Theory Approach to Storm-Substorm Relationship. AGU Fall Meeting Abstracts. 2008. 3 indexed citations
17.
Materassi, Massimo & Giuseppe Consolini. (2008). Turning the resistive MHD into a stochastic field theory. Nonlinear processes in geophysics. 15(4). 701–709. 7 indexed citations
18.
Materassi, Massimo, et al.. (2006). Imaging of the equatorial ionospheric anomaly over South America—A simulation study of total electron content. Journal of Atmospheric and Solar-Terrestrial Physics. 68(16). 1819–1833. 16 indexed citations
19.
Yordanova, Emiliya, J. BERGMAN, Giuseppe Consolini, et al.. (2005). Anisotropic scaling features and complexity in magnetospheric-cusp: a case study. Nonlinear processes in geophysics. 12(6). 817–825. 14 indexed citations
20.
Wernik, A. W., Lucilla Alfonsi, & Massimo Materassi. (2004). Ionospheric irregularities, scintillation and its effect on systems. 52. 237–249. 46 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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