Marco Romito

931 total citations
41 papers, 437 citations indexed

About

Marco Romito is a scholar working on Applied Mathematics, Finance and Computational Mechanics. According to data from OpenAlex, Marco Romito has authored 41 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Applied Mathematics, 18 papers in Finance and 17 papers in Computational Mechanics. Recurrent topics in Marco Romito's work include Navier-Stokes equation solutions (24 papers), Stochastic processes and financial applications (18 papers) and Fluid Dynamics and Turbulent Flows (16 papers). Marco Romito is often cited by papers focused on Navier-Stokes equation solutions (24 papers), Stochastic processes and financial applications (18 papers) and Fluid Dynamics and Turbulent Flows (16 papers). Marco Romito collaborates with scholars based in Italy, Germany and United Kingdom. Marco Romito's co-authors include Franco Flandoli, Dirk Blömker, David Barbato, Arnaud Debussche, Lihu Xu, Luigi C. Berselli, Massimiliano Gubinelli, Martin Hairer, Axel Röbel and Xavier Rodet and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Communications in Mathematical Physics.

In The Last Decade

Marco Romito

40 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Romito Italy 13 297 203 182 123 113 41 437
Julien Vovelle France 14 450 1.5× 187 0.9× 298 1.6× 121 1.0× 184 1.6× 32 696
Nathan Glatt-Holtz United States 13 214 0.7× 351 1.7× 119 0.7× 173 1.4× 129 1.1× 28 547
Hakima Bessaih United States 13 220 0.7× 247 1.2× 148 0.8× 105 0.9× 116 1.0× 47 417
Annie Millet France 14 109 0.4× 372 1.8× 57 0.3× 101 0.8× 218 1.9× 34 508
Raphael Kruse Germany 11 60 0.2× 307 1.5× 148 0.8× 48 0.4× 51 0.5× 18 434
Nicoletta Tchou France 12 183 0.6× 70 0.3× 33 0.2× 48 0.4× 125 1.1× 51 359
Animikh Biswas United States 13 230 0.8× 27 0.1× 103 0.6× 95 0.8× 168 1.5× 26 373
Benjamin Gess Germany 14 177 0.6× 288 1.4× 30 0.2× 320 2.6× 138 1.2× 37 576
Ismaël Bailleul France 9 59 0.2× 90 0.4× 34 0.2× 44 0.4× 98 0.9× 27 207
Stanislaus Maier‐Paape Germany 13 98 0.3× 62 0.3× 83 0.5× 48 0.4× 66 0.6× 36 446

Countries citing papers authored by Marco Romito

Since Specialization
Citations

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

Fields of papers citing papers by Marco Romito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Romito

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Romito. A scholar is included among the top collaborators of Marco Romito 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 Marco Romito. Marco Romito 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.
Parton, Maurizio, et al.. (2024). Curious Explorer: A Provable Exploration Strategy in Policy Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11422–11431. 1 indexed citations
2.
Mattingly, Jonathan C., et al.. (2022). The Gaussian structure of the singular stochastic Burgers equation. Forum of Mathematics Sigma. 10.
3.
Romito, Marco, et al.. (2021). Limit theorems and fluctuations for point vortices of generalized Euler equations. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
4.
Romito, Marco, et al.. (2020). Point vortices for inviscid generalized surface quasi-geostrophic models. CINECA IRIS Institutial research information system (University of Pisa). 10 indexed citations
5.
Romito, Marco, et al.. (2020). Decay of correlation rate in the mean field limit of point vortices ensembles. CINECA IRIS Institutial research information system (University of Pisa). 5 indexed citations
6.
Romito, Marco, et al.. (2019). The point vortex model for the Euler equation. AIMS Mathematics. 4(3). 534–575. 4 indexed citations
7.
Romito, Marco. (2014). UNCONDITIONAL EXISTENCE OF DENSITIES FOR THE NAVIER-STOKES EQUATIONS WITH NOISE (Mathematical Analysis of Viscous Incompressible Fluid : RIMS研究集会報告集). 数理解析研究所講究録. 1905(1905). 5–17. 1 indexed citations
8.
Blömker, Dirk & Marco Romito. (2013). Local existence and uniqueness for a two-dimensional surface growth equation with space-time white noise. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
9.
Röbel, Axel, et al.. (2013). Automatic Adaptation of the Time-Frequency Resolution for Sound Analysis and Re-Synthesis. IEEE Transactions on Audio Speech and Language Processing. 21(5). 959–970. 12 indexed citations
10.
Romito, Marco & Lihu Xu. (2010). Ergodicity of the 3D stochastic Navier–Stokes equations driven by mildly degenerate noise. Stochastic Processes and their Applications. 121(4). 673–700. 14 indexed citations
11.
Romito, Marco. (2010). An almost sure energy inequality for Markov solutions to the 3D Navier-Stokes equations. CINECA IRIS Institutial research information system (University of Pisa). 25. 243–255. 2 indexed citations
12.
Romito, Marco. (2009). The Uniqueness of Weak Solutions of the Globally Modified Navier-Stokes Equations. Advanced Nonlinear Studies. 9(2). 425–427. 28 indexed citations
13.
Flandoli, Franco & Marco Romito. (2006). Markov selections and their regularity for the three-dimensional stochastic Navier–Stokes equations. Comptes Rendus Mathématique. 343(1). 47–50. 11 indexed citations
14.
Blömker, Dirk, Marco Romito, & Roger Tribe. (2006). A probabilistic representation for the solutions to some non-linear PDEs using pruned branching trees. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 43(2). 175–192. 5 indexed citations
15.
Berselli, Luigi C. & Marco Romito. (2006). On the Existence and Uniqueness of Weak Solutions for a Vorticity Seeding Model. SIAM Journal on Mathematical Analysis. 37(6). 1780–1799. 9 indexed citations
16.
Flandoli, Franco, et al.. (2005). A PROBABILISTIC REPRESENTATION FOR THE VORTICITY OF A THREE-DIMENSIONAL VISCOUS FLUID AND FOR GENERAL SYSTEMS OF PARABOLIC EQUATIONS. Proceedings of the Edinburgh Mathematical Society. 48(2). 295–336. 26 indexed citations
17.
Romito, Marco. (2003). Ergodicity of the Finite Dimensional Approximation of the 3D Navier–Stokes Equations Forced by a Degenerate Noise. Journal of Statistical Physics. 114(1-2). 155–177. 37 indexed citations
18.
Flandoli, Franco & Marco Romito. (2002). Probabilistic analysis of singularities for the 3D Navier-Stokes equations. Mathematica Bohemica. 127(2). 211–218. 3 indexed citations
19.
Romito, Marco. (2001). Partial regularity theory for a stochastic Navier-Stokes system. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
20.
Flandoli, Franco & Marco Romito. (2001). Statistically Stationary Solutions to the 3D Navier-Stokes Equations do not show Singularities. Electronic Journal of Probability. 6(none). 8 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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