Francesco Manzo

521 total citations
13 papers, 302 citations indexed

About

Francesco Manzo is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistics and Probability. According to data from OpenAlex, Francesco Manzo has authored 13 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Condensed Matter Physics, 8 papers in Mathematical Physics and 5 papers in Statistics and Probability. Recurrent topics in Francesco Manzo's work include Stochastic processes and statistical mechanics (8 papers), Theoretical and Computational Physics (8 papers) and Markov Chains and Monte Carlo Methods (5 papers). Francesco Manzo is often cited by papers focused on Stochastic processes and statistical mechanics (8 papers), Theoretical and Computational Physics (8 papers) and Markov Chains and Monte Carlo Methods (5 papers). Francesco Manzo collaborates with scholars based in Italy, France and Netherlands. Francesco Manzo's co-authors include Raphaël Cerf, Anton Bovier, Enzo Olivieri, Francesca R. Nardi, Elisabetta Scoppola, Mostafa Kermani, Luigi Martirano, Roberto Fernández, Domenico Luca Carnì and Paolo Buttà and has published in prestigious journals such as Energies, Journal of Statistical Physics and The Annals of Probability.

In The Last Decade

Francesco Manzo

12 papers receiving 290 citations

Peers

Francesco Manzo

CMP

SNP

EEE

Hari Manassery Koduvely Israel

Vladimir Belitsky Brazil

Markus Heydenreich Netherlands

Enrique D. Andjel Brazil

F. Redig Netherlands

Samuel Herrmann France

Justin Salez France

Ben Mestel United Kingdom

Pei Hsu United States

Hari Manassery Koduvely Israel

Francesco Manzo

159 ×0.8

203 ×1.1

CMP

58 ×0.4

87 ×1.2

SNP

19 ×0.4

EEE

Citations per year, relative to Francesco Manzo Francesco Manzo (= 1×) peers Hari Manassery Koduvely

Countries citing papers authored by Francesco Manzo

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Manzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Manzo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Manzo. A scholar is included among the top collaborators of Francesco Manzo 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 Francesco Manzo. Francesco Manzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Kermani, Mostafa, et al.. (2020). A Nearly Zero-Energy Microgrid Testbed Laboratory: Centralized Control Strategy Based on SCADA System. Energies. 13(8). 2106–2106. 40 indexed citations

Martirano, Luigi, et al.. (2019). Implementation of SCADA Systems for a Real Microgrid Lab Testbed. IRIS Research product catalog (Sapienza University of Rome). 1–6. 10 indexed citations

Manzo, Francesco & Elisabetta Scoppola. (2019). Exact Results on the First Hitting via Conditional Strong Quasi-Stationary Times and Applications to Metastability. Journal of Statistical Physics. 174(6). 1239–1262. 1 indexed citations

Fernández, Roberto, et al.. (2016). Conditioned, quasi-stationary, restricted measures and escape from metastable states. The Annals of Applied Probability. 26(2). 14 indexed citations

Fernández, Roberto, Francesco Manzo, Francesca R. Nardi, & Elisabetta Scoppola. (2015). Asymptotically exponential hitting times and metastability: a pathwise approach without reversibility. Electronic Journal of Probability. 20(none). 20 indexed citations

Cerf, Raphaël & Francesco Manzo. (2013). Nucleation and growth for the Ising model in $d$ dimensions at very low temperatures. The Annals of Probability. 41(6). 18 indexed citations

Cerf, Raphaël & Francesco Manzo. (2011). A d-dimensional nucleation and growth model. Probability Theory and Related Fields. 155(1-2). 427–449. 5 indexed citations

Buttà, Paolo, Francesco Manzo, & Carlo Marchioro. (2005). A SIMPLE HAMILTONIAN MODEL OF RUNAWAY PARTICLE WITH SINGULAR INTERACTION. Mathematical Models and Methods in Applied Sciences. 15(5). 753–766. 5 indexed citations

Manzo, Francesco, Francesca R. Nardi, Enzo Olivieri, & Elisabetta Scoppola. (2004). On the Essential Features of Metastability: Tunnelling Time and Critical Configurations. Journal of Statistical Physics. 115(1-2). 591–642. 44 indexed citations

10.

Cerf, Raphaël & Francesco Manzo. (2002). The threshold regime of finite volume bootstrap percolation. Stochastic Processes and their Applications. 101(1). 69–82. 57 indexed citations

11.

Bovier, Anton & Francesco Manzo. (2002). Metastability in Glauber Dynamics in the Low-Temperature Limit: Beyond Exponential Asymptotics. Journal of Statistical Physics. 107(3-4). 757–779. 64 indexed citations

12.

Manzo, Francesco & Enzo Olivieri. (2001). Dynamical Blume–Capel Model: Competing Metastable States at Infinite Volume. Journal of Statistical Physics. 104(5-6). 1029–1090. 24 indexed citations

13.

Bagnasco, S., et al.. (1985). Requirements and Design for a Distributed Computerized System for Safety and Control Applications. IFAC Proceedings Volumes. 18(12). 85–93.

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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