D. Fusco

487 total citations
39 papers, 376 citations indexed

About

D. Fusco is a scholar working on Statistical and Nonlinear Physics, Applied Mathematics and Control and Systems Engineering. According to data from OpenAlex, D. Fusco has authored 39 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 18 papers in Applied Mathematics and 16 papers in Control and Systems Engineering. Recurrent topics in D. Fusco's work include Navier-Stokes equation solutions (16 papers), Stability and Controllability of Differential Equations (15 papers) and Nonlinear Waves and Solitons (14 papers). D. Fusco is often cited by papers focused on Navier-Stokes equation solutions (16 papers), Stability and Controllability of Differential Equations (15 papers) and Nonlinear Waves and Solitons (14 papers). D. Fusco collaborates with scholars based in Italy, Estonia and United States. D. Fusco's co-authors include N. Manganaro, Carmela Curró, Jüri Engelbrecht, A. Donato, Francesco Oliveri, Alan Jeffrey, W.F. Ames and Andrea Donato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chaos Solitons & Fractals and Physics of The Earth and Planetary Interiors.

In The Last Decade

D. Fusco

38 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Fusco Italy 12 190 166 156 125 96 39 376
N. Manganaro Italy 12 219 1.2× 216 1.3× 220 1.4× 161 1.3× 102 1.1× 41 416
J. L. Joly France 11 91 0.5× 202 1.2× 184 1.2× 99 0.8× 61 0.6× 16 361
V.I. Iudovich Russia 11 74 0.4× 148 0.9× 276 1.8× 249 2.0× 114 1.2× 21 506
John Albert United States 12 441 2.3× 486 2.9× 173 1.1× 71 0.6× 90 0.9× 21 620
S. N. Kruzhkov Russia 10 117 0.6× 260 1.6× 282 1.8× 55 0.4× 83 0.9× 18 474
Lorenzo di Ruvo Italy 14 347 1.8× 385 2.3× 203 1.3× 114 0.9× 59 0.6× 63 583
Jürgen Saal Germany 11 57 0.3× 214 1.3× 302 1.9× 109 0.9× 116 1.2× 30 488
Mitsuru Ikawa Japan 12 98 0.5× 350 2.1× 172 1.1× 22 0.2× 142 1.5× 31 479
Shuji Machihara Japan 12 97 0.5× 372 2.2× 257 1.6× 41 0.3× 79 0.8× 35 468
Olga Krupková Czechia 13 216 1.1× 77 0.5× 63 0.4× 16 0.1× 210 2.2× 46 489

Countries citing papers authored by D. Fusco

Since Specialization
Citations

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

Fields of papers citing papers by D. Fusco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Fusco

This figure shows the co-authorship network connecting the top 25 collaborators of D. Fusco. A scholar is included among the top collaborators of D. Fusco 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 D. Fusco. D. Fusco 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.
Curró, Carmela, D. Fusco, & N. Manganaro. (2015). Exact solutions in ideal chromatography via differential constraints method. SHILAP Revista de lepidopterología. 10 indexed citations
2.
Curró, Carmela, D. Fusco, & N. Manganaro. (2014). Exact description of simple wave interactions in multicomponent chromatography. Journal of Physics A Mathematical and Theoretical. 48(1). 15201–15201. 10 indexed citations
3.
Curró, Carmela & D. Fusco. (2013). Nonlinear wave interactions for quasilinear hyperbolic 2×2 systems. SHILAP Revista de lepidopterología. 2 indexed citations
4.
Curró, Carmela, D. Fusco, & N. Manganaro. (2012). Hodograph transformation and differential constraints for wave solutions to 2 × 2 quasilinear hyperbolic nonhomogeneous systems. Journal of Physics A Mathematical and Theoretical. 45(19). 195207–195207. 23 indexed citations
5.
Fusco, D. & N. Manganaro. (2007). A reduction approach for determining generalized simple waves. Zeitschrift für angewandte Mathematik und Physik. 59(1). 63–75. 9 indexed citations
6.
Curró, Carmela & D. Fusco. (2005). Discontinuous travelling wave solutions for a class of dissipative hyperbolic models. Atti della Accademia Nazionale dei Lincei. Classe di Scienze Fisiche, Matematiche e Naturali. Rendiconti Lincei. Matematica e Applicazioni. 16(1). 61–71. 13 indexed citations
7.
Curró, Carmela, D. Fusco, & N. Manganaro. (1995). Wave features of a class of reducible nonhomogeneous and nonautonomous models. Applicable Analysis. 57(1-2). 47–62. 8 indexed citations
8.
Fusco, D. & N. Manganaro. (1994). A method for determining exact solutions to a class of nonlinear models based on introduction of differential constraints. Journal of Mathematical Physics. 35(7). 3659–3669. 11 indexed citations
9.
Fusco, D., et al.. (1992). Nonlinear Waves and Dissipative Effects. Medical Entomology and Zoology. 11 indexed citations
10.
Engelbrecht, Jüri, D. Fusco, & Francesco Oliveri. (1992). Nerve pulse transmission: Recovery variable and rate-type effects. Chaos Solitons & Fractals. 2(2). 197–209. 4 indexed citations
11.
Fusco, D. & N. Manganaro. (1991). A class of linearizable models and generation of material response functions to nonlinear hyperbolic heat conduction. Journal of Mathematical Physics. 32(11). 3043–3046. 15 indexed citations
12.
Fusco, D. & N. Manganaro. (1989). Linearization of a hyperbolic model for non-linear heat conduction through hodograph-like and Bäcklund transformations. International Journal of Non-Linear Mechanics. 24(2). 99–103. 9 indexed citations
13.
Curró, Carmela & D. Fusco. (1988). Reduction to linear canonical forms and generation of conservation laws for a class of quasilinear hyperbolic systems. International Journal of Non-Linear Mechanics. 23(1). 25–35. 11 indexed citations
14.
Fusco, D.. (1988). Some results concerning continuous media described by quasilinear reducible systems. Physics of The Earth and Planetary Interiors. 50(1). 46–51. 1 indexed citations
15.
Fusco, D., et al.. (1987). Nonlinear wave features of a hyperbolic model describing dissipative magnetofluid dynamics. 6(6). 761–770. 1 indexed citations
16.
Fusco, D., et al.. (1987). On a class of quasilinear hyperbolic reducible systems allowing for special wave interactions. Zeitschrift für angewandte Mathematik und Physik. 38(4). 580–594. 16 indexed citations
17.
Donato, A. & D. Fusco. (1987). Wave features and infinitesimal group analysis for a second order quasilinear equation in conservative form. International Journal of Non-Linear Mechanics. 22(1). 37–46. 5 indexed citations
18.
Fusco, D., A. Donato, & W.F. Ames. (1984). Group analysis for a linear hyperbolic equation arising from a quasilinear reducible system. Wave Motion. 6(5). 517–524. 5 indexed citations
19.
Donato, A. & D. Fusco. (1984). Wave features related to a mathematical model describing pulse transmission in a nerve fibre. International Journal of Non-Linear Mechanics. 19(1). 61–68. 1 indexed citations
20.
Donato, A. & D. Fusco. (1980). Non-linear wave propagation in a layered half space. International Journal of Non-Linear Mechanics. 15(6). 497–503. 1 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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