Enrico Schiassi

869 total citations
23 papers, 567 citations indexed

About

Enrico Schiassi is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Enrico Schiassi has authored 23 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 7 papers in Electrical and Electronic Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Enrico Schiassi's work include Model Reduction and Neural Networks (14 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers) and Thermal properties of materials (4 papers). Enrico Schiassi is often cited by papers focused on Model Reduction and Neural Networks (14 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers) and Thermal properties of materials (4 papers). Enrico Schiassi collaborates with scholars based in United States, Italy and Canada. Enrico Schiassi's co-authors include Roberto Furfaro, Mario De Florio, Daniele Mortari, Andrea D’Ambrosio, B. D. Ganapol, Hunter Johnston, Carl Leake, Fabio Curti, Jeffrey S. Kargel and Dan H. Shugar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Remote Sensing.

In The Last Decade

Enrico Schiassi

21 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enrico Schiassi United States 13 293 134 102 100 73 23 567
Mario De Florio United States 12 273 0.9× 81 0.6× 103 1.0× 91 0.9× 14 0.2× 19 460
Roberto Molinaro Switzerland 9 347 1.2× 66 0.5× 103 1.0× 177 1.8× 18 0.2× 10 539
Bing Yu China 4 655 2.2× 67 0.5× 160 1.6× 293 2.9× 20 0.3× 9 848
Jens Berg Sweden 9 419 1.4× 57 0.4× 95 0.9× 279 2.8× 10 0.1× 11 656
Wouter Edeling Netherlands 12 169 0.6× 133 1.0× 41 0.4× 267 2.7× 62 0.8× 27 599
Nathaniel Trask United States 19 221 0.8× 81 0.6× 55 0.5× 578 5.8× 25 0.3× 51 1.1k
George Em Karniadakis United States 6 219 0.7× 47 0.4× 63 0.6× 126 1.3× 15 0.2× 14 369
Xueyu Zhu United States 16 123 0.4× 26 0.2× 74 0.7× 109 1.1× 38 0.5× 44 577
Eric Parish United States 9 404 1.4× 151 1.1× 53 0.5× 419 4.2× 58 0.8× 27 648

Countries citing papers authored by Enrico Schiassi

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Schiassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Schiassi

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Schiassi. A scholar is included among the top collaborators of Enrico Schiassi 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 Enrico Schiassi. Enrico Schiassi 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.
Schiassi, Enrico, et al.. (2025). Least squares with equality constraints extreme learning machines for the resolution of PDEs. Journal of Computational Physics. 547. 114553–114553.
2.
Florio, Mario De, et al.. (2024). Hybrid Chemical and Data-Driven Model for Stiff Chemical Kinetics Using a Physics-Informed Neural Network. SHILAP Revista de lepidopterología. 40–40.
3.
Drozd, Kristofer, Roberto Furfaro, Enrico Schiassi, & Andrea D’Ambrosio. (2023). Physics-Informed Neural Networks and Functional Interpolation for Solving the Matrix Differential Riccati Equation. Mathematics. 11(17). 3635–3635. 1 indexed citations
4.
Florio, Mario De, Enrico Schiassi, Francesco Calabrò, & Roberto Furfaro. (2023). Physics-Informed Neural Networks for 2nd order ODEs with sharp gradients. Journal of Computational and Applied Mathematics. 436. 115396–115396. 24 indexed citations
5.
Schiassi, Enrico, et al.. (2023). Physics-Informed Neural Networks for 1-D Steady-State Diffusion-Advection-Reaction Equations. Nuclear Science and Engineering. 197(9). 2373–2403. 4 indexed citations
6.
D’Ambrosio, Andrea, Enrico Schiassi, Hunter Johnston, et al.. (2022). Time-energy optimal landing on planetary bodies via theory of functional connections. Advances in Space Research. 69(12). 4198–4220. 5 indexed citations
7.
Florio, Mario De, Enrico Schiassi, B. D. Ganapol, & Roberto Furfaro. (2022). Physics-Informed Neural Networks for rarefied-gas dynamics: Poiseuille flow in the BGK approximation. Zeitschrift für angewandte Mathematik und Physik. 73(3). 14 indexed citations
8.
Schiassi, Enrico, Andrea D’Ambrosio, Kristofer Drozd, Fabio Curti, & Roberto Furfaro. (2022). Physics-Informed Neural Networks for Optimal Planar Orbit Transfers. Journal of Spacecraft and Rockets. 59(3). 834–849. 33 indexed citations
9.
Schiassi, Enrico, Andrea D’Ambrosio, & Roberto Furfaro. (2022). Bellman Neural Networks for the Class of Optimal Control Problems With Integral Quadratic Cost. IEEE Transactions on Artificial Intelligence. 5(3). 1016–1025. 13 indexed citations
10.
Furfaro, Roberto, Andrea D’Ambrosio, Enrico Schiassi, & Andrea Scorsoglio. (2022). Physics-Informed Neural Networks for Closed-Loop Guidance and Control in Aerospace Systems. AIAA SCITECH 2022 Forum. 10 indexed citations
11.
Florio, Mario De, Enrico Schiassi, B. D. Ganapol, & Roberto Furfaro. (2021). Physics-informed neural networks for rarefied-gas dynamics: Thermal creep flow in the Bhatnagar–Gross–Krook approximation. Physics of Fluids. 33(4). 48 indexed citations
12.
Schiassi, Enrico, Mario De Florio, Andrea D’Ambrosio, Daniele Mortari, & Roberto Furfaro. (2021). Physics-Informed Neural Networks and Functional Interpolation for Data-Driven Parameters Discovery of Epidemiological Compartmental Models. Mathematics. 9(17). 2069–2069. 41 indexed citations
13.
Schiassi, Enrico, Roberto Furfaro, Carl Leake, et al.. (2021). Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations. Neurocomputing. 457. 334–356. 128 indexed citations
14.
Florio, Mario De, Enrico Schiassi, Andrea D’Ambrosio, Daniele Mortari, & Roberto Furfaro. (2021). Theory of Functional Connections Applied to Linear ODEs Subject to Integral Constraints and Linear Ordinary Integro-Differential Equations. Mathematical and Computational Applications. 26(3). 65–65. 12 indexed citations
15.
Drozd, Kristofer, Roberto Furfaro, Enrico Schiassi, Hunter Johnston, & Daniele Mortari. (2021). Energy-optimal trajectory problems in relative motion solved via Theory of Functional Connections. Acta Astronautica. 182. 361–382. 23 indexed citations
16.
Florio, Mario De, Enrico Schiassi, Roberto Furfaro, B. D. Ganapol, & D. Mostacci. (2020). Solutions of Chandrasekhar’s basic problem in radiative transfer via theory of functional connections. Journal of Quantitative Spectroscopy and Radiative Transfer. 259. 107384–107384. 24 indexed citations
17.
Watson, C. Scott, Jeffrey S. Kargel, Dan H. Shugar, et al.. (2020). Mass Loss From Calving in Himalayan Proglacial Lakes. Frontiers in Earth Science. 7. 68 indexed citations
18.
19.
Schiassi, Enrico, Roberto Furfaro, Jeffrey S. Kargel, et al.. (2019). GLAM Bio-Lith RT: A Tool for Remote Sensing Reflectance Simulation and Water Components Concentration Retrieval in Glacial Lakes. Frontiers in Earth Science. 7. 3 indexed citations
20.
Schiassi, Enrico, Roberto Furfaro, & D. Mostacci. (2016). Bayesian inversion of coupled radiative and heat transfer models for asteroid regoliths and lakes. Radiation effects and defects in solids. 171(9-10). 736–745. 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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