Maria Groppi

1.3k total citations
76 papers, 912 citations indexed

About

Maria Groppi is a scholar working on Applied Mathematics, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, Maria Groppi has authored 76 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Applied Mathematics, 33 papers in Computational Mechanics and 20 papers in Statistical and Nonlinear Physics. Recurrent topics in Maria Groppi's work include Gas Dynamics and Kinetic Theory (49 papers), Computational Fluid Dynamics and Aerodynamics (20 papers) and Advanced Thermodynamics and Statistical Mechanics (17 papers). Maria Groppi is often cited by papers focused on Gas Dynamics and Kinetic Theory (49 papers), Computational Fluid Dynamics and Aerodynamics (20 papers) and Advanced Thermodynamics and Statistical Mechanics (17 papers). Maria Groppi collaborates with scholars based in Italy, Japan and France. Maria Groppi's co-authors include G. Spiga, Marzia Bisi, Luca Bolzoni, Rossella Della Marca, G. Buffoni, Massimiliano Zaniboni, Kazuo Aoki, Giovanni Russo, A. V. Bobylev and Roberto Monaco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biophysical Journal and Journal of Theoretical Biology.

In The Last Decade

Maria Groppi

73 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Groppi Italy	17	506	342	198	172	163	76	912
Stéphane Génieys France	16	228 0.5×	104 0.3×	64 0.3×	181 1.1×	48 0.3×	23	751
Laurent Gosse Italy	24	666 1.3×	748 2.2×	135 0.7×	174 1.0×	106 0.7×	100	1.8k
Giacomo Dimarco Italy	22	710 1.4×	765 2.2×	258 1.3×	192 1.1×	72 0.4×	60	1.4k
Aizik Volpert Israel	14	756 1.5×	327 1.0×	144 0.7×	285 1.7×	23 0.1×	29	1.7k
Gieri Simonett United States	26	1.2k 2.3×	360 1.1×	54 0.3×	158 0.9×	17 0.1×	55	1.8k
Arnd Scheel United States	27	167 0.3×	184 0.5×	911 4.6×	139 0.8×	111 0.7×	114	2.2k
M. Sammartino Italy	21	764 1.5×	634 1.9×	208 1.1×	237 1.4×	15 0.1×	68	1.6k
Bernard Dacorogna Switzerland	20	1.0k 2.0×	301 0.9×	93 0.5×	46 0.3×	28 0.2×	99	2.5k
E.J. Allen United States	19	95 0.2×	128 0.4×	158 0.8×	318 1.8×	51 0.3×	67	1.4k
D. J. Needham United Kingdom	25	174 0.3×	453 1.3×	313 1.6×	231 1.3×	194 1.2×	107	1.6k

Countries citing papers authored by Maria Groppi

Since Specialization

Citations

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

Fields of papers citing papers by Maria Groppi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Groppi

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

Bisi, Marzia, et al.. (2023). A chemotaxis reaction–diffusion model for Multiple Sclerosis with Allee effect. Ricerche di Matematica. 73(S1). 29–46. 4 indexed citations

Bisi, Marzia, et al.. (2023). A mixed Boltzmann–BGK model for inert gas mixtures. Kinetic and Related Models. 17(5). 674–696.

Buonomo, Bruno, Rossella Della Marca, Alberto d’Onofrio, & Maria Groppi. (2021). A behavioural modelling approach to assess the impact of COVID-19 vaccine hesitancy. Journal of Theoretical Biology. 534. 110973–110973. 37 indexed citations

Bolzoni, Luca, Rossella Della Marca, & Maria Groppi. (2021). On the optimal control of SIR model with Erlang-distributed infectious period: isolation strategies. Journal of Mathematical Biology. 83(4). 36–36. 10 indexed citations

Aoki, Kazuo, Marzia Bisi, Maria Groppi, & Shingo Kosuge. (2021). A Note on the Steady Navier–Stokes Equations Derived from an ES–BGK Model for a Polyatomic Gas. Fluids. 6(1). 32–32. 6 indexed citations

Bisi, Marzia, et al.. (2020). Optimal control of leachate recirculation for anaerobic processes in landfills. Discrete and Continuous Dynamical Systems - B. 26(6). 2957–2976. 4 indexed citations

Bisi, Marzia, et al.. (2020). Macroscopic equations for inert gas mixtures in different hydrodynamic regimes. Journal of Physics A Mathematical and Theoretical. 54(8). 85201–85201. 7 indexed citations

Bolzoni, Luca, et al.. (2019). Optimal control of epidemic size and duration with limited resources. Mathematical Biosciences. 315. 108232–108232. 34 indexed citations

Gerardo‐Giorda, Luca, et al.. (2019). Glioma invasion and its interplay with nervous tissue and therapy: A multiscale model. Journal of Theoretical Biology. 486. 110088–110088. 11 indexed citations

10.

Bolzoni, Luca, et al.. (2017). Time-optimal control strategies in SIR epidemic models. Institutional Research Information System (Università degli Studi di Trento). 61 indexed citations

11.

Buffoni, G., et al.. (2016). Dynamics of predator–prey models with a strong Allee effect on the prey and predator-dependent trophic functions. Nonlinear Analysis Real World Applications. 30. 143–169. 21 indexed citations

12.

Bolzoni, Luca, et al.. (2013). React or wait: which optimal culling strategy to control infectious diseases in wildlife. Journal of Mathematical Biology. 69(4). 1001–1025. 24 indexed citations

13.

Groppi, Maria, et al.. (2011). Kinetic approach to deflagration processes in a recombination reaction. Kinetic and Related Models. 4(1). 259–276. 6 indexed citations

14.

Bisi, Marzia, et al.. (2010). Flame structure from a kinetic model for chemical reactions. Kinetic and Related Models. 3(1). 17–34. 5 indexed citations

15.

Groppi, Maria, A. Rossani, & G. Spiga. (2009). Fluid-dynamc model equations for a gas with slow reversible biomolecular reactions. Communications in Mathematical Sciences. 7(1). 143–163. 4 indexed citations

16.

Groppi, Maria, et al.. (2007). Effects of predation efficiencies on the dynamics of a tritrophic food chain. Mathematical Biosciences & Engineering. 4(3). 431–456. 3 indexed citations

17.

Groppi, Maria, et al.. (2006). Euler closure of the Boltzmann equations for resonant bimolecular reactions. Physics of Fluids. 18(5). 11 indexed citations

18.

Zaniboni, Massimiliano, et al.. (2005). Effect of Input Resistance Voltage-Dependency on DC Estimate of Membrane Capacitance in Cardiac Myocytes. Biophysical Journal. 89(3). 2170–2181. 18 indexed citations

19.

Buffoni, G., et al.. (2005). Modelling of predator–prey trophic interactions. Part I: two trophic levels. Journal of Mathematical Biology. 50(6). 713–732. 11 indexed citations

20.

Bisi, Marzia, Maria Groppi, & G. Spiga. (2005). Fluid-dynamic equations for reacting gas mixtures. Applications of Mathematics. 50(1). 43–62. 12 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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