Marco Fuhrman

1.3k total citations
49 papers, 711 citations indexed

About

Marco Fuhrman is a scholar working on Finance, Control and Systems Engineering and Mathematical Physics. According to data from OpenAlex, Marco Fuhrman has authored 49 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Finance, 15 papers in Control and Systems Engineering and 12 papers in Mathematical Physics. Recurrent topics in Marco Fuhrman's work include Stochastic processes and financial applications (38 papers), Stability and Controllability of Differential Equations (15 papers) and Mathematical Biology Tumor Growth (12 papers). Marco Fuhrman is often cited by papers focused on Stochastic processes and financial applications (38 papers), Stability and Controllability of Differential Equations (15 papers) and Mathematical Biology Tumor Growth (12 papers). Marco Fuhrman collaborates with scholars based in Italy, France and United Kingdom. Marco Fuhrman's co-authors include Gianmario Tessitore, Ying Hu, Michael Röckner, Andrea Cosso, Huyên Pham, Arnaud Debussche, Jean Jacod, Paul Malliavin, Giuseppe Da Prato and Jerzy Zabczyk and has published in prestigious journals such as SIAM Journal on Control and Optimization, Journal of Functional Analysis and The Annals of Probability.

In The Last Decade

Marco Fuhrman

46 papers receiving 640 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 Fuhrman Italy 18 581 269 196 145 145 49 711
Gianmario Tessitore Italy 16 516 0.9× 320 1.2× 266 1.4× 114 0.8× 107 0.7× 44 703
Aurel Răşcanu Romania 13 632 1.1× 190 0.7× 223 1.1× 319 2.2× 106 0.7× 32 842
Salah-Eldin A. Mohammed United States 15 443 0.8× 226 0.8× 168 0.9× 123 0.8× 81 0.6× 28 620
Youssef Ouknine Morocco 15 756 1.3× 121 0.4× 89 0.5× 164 1.1× 112 0.8× 107 804
Beniamin Gołdys Australia 19 689 1.2× 287 1.1× 325 1.7× 316 2.2× 75 0.5× 58 980
Salah Mohammed United States 8 365 0.6× 246 0.9× 136 0.7× 171 1.2× 62 0.4× 18 590
Philippe Briand France 13 714 1.2× 154 0.6× 93 0.5× 185 1.3× 76 0.5× 17 764
Andreas Neuenkirch Germany 17 589 1.0× 96 0.4× 106 0.5× 67 0.5× 71 0.5× 34 716
José‐Luis Menaldi United States 12 355 0.6× 147 0.5× 173 0.9× 156 1.1× 48 0.3× 30 545
Frank Proske Norway 14 713 1.2× 88 0.3× 120 0.6× 169 1.2× 59 0.4× 57 840

Countries citing papers authored by Marco Fuhrman

Since Specialization
Citations

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

Fields of papers citing papers by Marco Fuhrman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Fuhrman

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Fuhrman. A scholar is included among the top collaborators of Marco Fuhrman 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 Fuhrman. Marco Fuhrman 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.
Fuhrman, Marco. (2025). The randomization method in stochastic optimal control. Numerical Algebra Control and Optimization. 0(0). 0–0.
2.
Cosso, Andrea, Marco Fuhrman, & Huyên Pham. (2016). Long time asymptotics for fully nonlinear Bellman equations: A backward SDE approach. Stochastic Processes and their Applications. 126(7). 1932–1973. 18 indexed citations
3.
Fuhrman, Marco, et al.. (2016). Reflected BSDEs, optimal control and stopping for infinite-dimensional systems. ESAIM Control Optimisation and Calculus of Variations. 23(4). 1419–1445. 2 indexed citations
4.
Fuhrman, Marco, et al.. (2015). Randomized and backward SDE representation for optimal control of non-Markovian SDEs. The Annals of Applied Probability. 25(4). 18 indexed citations
5.
Fuhrman, Marco, et al.. (2013). Backward stochastic differential equations associated to jump Markov processes and applications. Stochastic Processes and their Applications. 124(1). 289–316. 11 indexed citations
6.
Fuhrman, Marco, et al.. (2012). Filtering of continuous-time Markov chains with noise-free observation and applications. Stochastics. 85(2). 216–251. 7 indexed citations
7.
Bonaccorsi, Stefano & Marco Fuhrman. (2004). INTEGRATION BY PARTS AND SMOOTHNESS OF THE LAW FOR A CLASS OF STOCHASTIC EVOLUTION EQUATIONS. Infinite Dimensional Analysis Quantum Probability and Related Topics. 7(1). 89–129.
8.
Fuhrman, Marco. (2003). A class of stochastic optimal control problems in Hilbert spaces: BSDEs and optimal control laws, state constraints, conditioned processes. Stochastic Processes and their Applications. 108(2). 263–298. 10 indexed citations
9.
Fuhrman, Marco. (2003). A class of stochastic optimal control problems in Hilbert spaces: BSDEs and optimal control laws, state constraints, conditioned processes. Stochastic Processes and their Applications. 108(2). 263–298. 1 indexed citations
10.
Fuhrman, Marco. (2001). Logarithmic derivatives of invariant measure for stochastic differential equations in hilbert spaces. Stochastics and stochastics reports. 71(3-4). 269–290. 2 indexed citations
11.
Bonaccorsi, Stefano & Marco Fuhrman. (1999). Regularity results for infinite dimensional diffusions. A Malliavin calculus approach. Institutional Research Information System (Università degli Studi di Trento). 10(1). 35–45. 5 indexed citations
12.
Prato, Giuseppe Da, Marco Fuhrman, & Paul Malliavin. (1999). Asymptotic Ergodicity of the Process of Conditional Law in Some Problem of Non-linear Filtering. Journal of Functional Analysis. 164(2). 356–377. 9 indexed citations
13.
Favini, Angelo & Marco Fuhrman. (1998). Approximation results for semigroups generated by multivalued linear operators and applications. Differential and Integral Equations. 11(5). 3 indexed citations
14.
Fuhrman, Marco. (1997). Sums of generators of analytic semigroups and multivalued linear operators. Annali di Matematica Pura ed Applicata (1923 -). 173(1). 63–105. 3 indexed citations
15.
Ahmed, N. U., Marco Fuhrman, & Jerzy Zabczyk. (1997). On Filtering Equations in Infinite Dimensions. Journal of Functional Analysis. 143(1). 180–204. 11 indexed citations
16.
Prato, Giuseppe Da, Marco Fuhrman, & Paul Malliavin. (1995). Asymptotic ergodicity for the Zakai filtering equation.. 321(5). 613–616. 6 indexed citations
17.
Fuhrman, Marco. (1995). Analyticity of transition semigroups and closability of bilinear forms in Hilbert spaces. Studia Mathematica. 115(1). 53–71. 21 indexed citations
18.
Fuhrman, Marco. (1994). Bounded imaginary powers of abstract differential operators.. Evolution equations and control theory. 155. 215–223. 1 indexed citations
19.
Fuhrman, Marco. (1994). Sums of operators of parabolic type in a Hilbert space: strict solutions and maximal regularity.. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–34.
20.
Fuhrman, Marco. (1993). Sums of linear operators of parabolic type: a priori estimates and strong solutions. Annali di Matematica Pura ed Applicata (1923 -). 164(1). 229–257. 2 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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