Marco Ferrante

865 total citations
43 papers, 432 citations indexed

About

Marco Ferrante is a scholar working on Finance, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Marco Ferrante has authored 43 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Finance, 10 papers in Artificial Intelligence and 7 papers in Mathematical Physics. Recurrent topics in Marco Ferrante's work include Stochastic processes and financial applications (17 papers), Nonlinear Differential Equations Analysis (6 papers) and Information Retrieval and Search Behavior (6 papers). Marco Ferrante is often cited by papers focused on Stochastic processes and financial applications (17 papers), Nonlinear Differential Equations Analysis (6 papers) and Information Retrieval and Search Behavior (6 papers). Marco Ferrante collaborates with scholars based in Italy, Spain and Germany. Marco Ferrante's co-authors include Carles Rovira, Nicola Ferro, Maria Maistro, Marta Sanz–Solé, Paolo Vidoni, David Nualart, Norbert Fuhr, Xavier Bardina, Wolfgang J. Runggaldier and Alessandro Berti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biophysical Journal and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Marco Ferrante

41 papers receiving 411 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 Ferrante Italy 13 173 101 91 65 65 43 432
Peter Spreij Netherlands 13 256 1.5× 124 1.2× 34 0.4× 42 0.6× 9 0.1× 79 584
Khai T. Nguyen United States 11 14 0.1× 80 0.8× 98 1.1× 54 0.8× 29 0.4× 56 363
Peng Zhao China 22 216 1.2× 78 0.8× 62 0.7× 32 0.5× 12 0.2× 102 1.5k
Zhenting Hou China 13 72 0.4× 16 0.2× 114 1.3× 141 2.2× 6 0.1× 47 476
Shurong Zheng China 14 63 0.4× 202 2.0× 40 0.4× 19 0.3× 7 0.1× 57 657
Yuan‐Hua Ni China 11 232 1.3× 37 0.4× 18 0.2× 254 3.9× 3 0.0× 28 592
Vladimir Boginski United States 4 37 0.2× 44 0.4× 15 0.2× 10 0.2× 17 0.3× 6 283
V. S. Korolyuk Ukraine 9 107 0.6× 47 0.5× 27 0.3× 36 0.6× 3 0.0× 70 395
Pier Luigi Novi Inverardi Italy 8 11 0.1× 152 1.5× 29 0.3× 16 0.2× 128 2.0× 27 424
Łukasz Stettner Poland 14 252 1.5× 47 0.5× 29 0.3× 120 1.8× 72 487

Countries citing papers authored by Marco Ferrante

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ferrante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ferrante

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Ferrante. A scholar is included among the top collaborators of Marco Ferrante 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 Ferrante. Marco Ferrante 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.
Ferrante, Marco, et al.. (2021). s-AWARE: Using Crowd Judgements in Supervised Measure-Based Methods for IR Evaluation.. 162–168. 1 indexed citations
2.
Ferrante, Marco, Nicola Ferro, & Norbert Fuhr. (2021). Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales. SHILAP Revista de lepidopterología. 17 indexed citations
3.
Bardina, Xavier, Marco Ferrante, & Carles Rovira. (2020). Strong approximations of Brownian sheet by uniform transport processes. Research Padua Archive (University of Padua). 1 indexed citations
4.
Bardina, Xavier, Marco Ferrante, & Carles Rovira. (2020). A stochastic epidemic model of COVID-19 disease. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 13 indexed citations
5.
Ferrante, Marco & Nicola Ferro. (2020). Exploiting Stopping Time to Evaluate Accumulated Relevance. Research Padua Archive (University of Padua). 169–176. 3 indexed citations
6.
Ferrante, Marco, et al.. (2018). A General Theory of IR Evaluation Measures. IEEE Transactions on Knowledge and Data Engineering. 31(3). 409–422. 12 indexed citations
7.
Ferrante, Marco, et al.. (2017). A new markovian model for tennis matches. Electronic journal of applied statistical analysis. 10(3). 693–711. 6 indexed citations
8.
Montefusco, Francesco, et al.. (2017). Concise Whole-Cell Modeling of BK Ca -CaV Activity Controlled by Local Coupling and Stoichiometry. Biophysical Journal. 112(11). 2387–2396. 12 indexed citations
9.
Ferrante, Marco, et al.. (2017). An Interval-Like Scale Property for I. R. Evaluation Measures.. Research Padua Archive (University of Padua). 2008. 10–15. 2 indexed citations
10.
Bardina, Xavier, Marco Ferrante, & Carles Rovira. (2017). Stochastic Epidemic SEIRS Models with a Constant Latency Period. Mediterranean Journal of Mathematics. 14(4).
11.
Ferrante, Marco, et al.. (2017). Are IR Evaluation Measures on an Interval Scale?. Padua Research Archive (University of Padova). 67–74. 11 indexed citations
12.
Berti, Alessandro, et al.. (2015). No-Free-Lunch theorems in the continuum. Theoretical Computer Science. 600. 98–106. 15 indexed citations
13.
Ferrante, Marco, Nicola Ferro, & Maria Maistro. (2014). Injecting user models and time into precision via Markov chains. Research Padua Archive (University of Padua). 597–606. 10 indexed citations
14.
Ferrante, Marco & Carles Rovira. (2010). Convergence of delay differential equations driven by fractional Brownian motion. Journal of Evolution Equations. 10(4). 761–783. 39 indexed citations
15.
Ferrante, Marco & Carles Rovira. (2006). Stochastic delay differential equations driven by fractional Brownian motion with Hurst parameter H. Bernoulli. 12(1). 85–100. 57 indexed citations
16.
Ferrante, Marco, et al.. (2003). Linear stochastic differential equations with functional boundary conditions. The Annals of Probability. 31(4). 4 indexed citations
17.
Ferrante, Marco, Carles Rovira, & Marta Sanz–Solé. (2000). Stochastic Delay Equations with Hereditary Drift: Estimates of the Density. Journal of Functional Analysis. 177(1). 138–177. 3 indexed citations
18.
Ferrante, Marco & Paolo Vidoni. (1999). A Gaussian-generalized inverse Gaussian finite-dimensional filter. Stochastic Processes and their Applications. 84(1). 165–176. 4 indexed citations
19.
Ferrante, Marco, Arturo Kohatsu‐Higa, & Marta Sanz–Solé. (1996). Strong approximations for stochastic differential equations with boundary conditions. Stochastic Processes and their Applications. 61(2). 323–337. 5 indexed citations
20.
Ferrante, Marco. (1993). Triangular stochastic differential equations with boundary conditions. Rendiconti del Seminario Matematico della Università di Padova. 90. 159–188. 3 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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