Simone Venturi

423 total citations
27 papers, 295 citations indexed

About

Simone Venturi is a scholar working on Applied Mathematics, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, Simone Venturi has authored 27 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Applied Mathematics, 11 papers in Atomic and Molecular Physics, and Optics and 7 papers in Computational Mechanics. Recurrent topics in Simone Venturi's work include Gas Dynamics and Kinetic Theory (21 papers), Quantum, superfluid, helium dynamics (6 papers) and Catalytic Processes in Materials Science (4 papers). Simone Venturi is often cited by papers focused on Gas Dynamics and Kinetic Theory (21 papers), Quantum, superfluid, helium dynamics (6 papers) and Catalytic Processes in Materials Science (4 papers). Simone Venturi collaborates with scholars based in United States, Italy and South Korea. Simone Venturi's co-authors include Marco Panesi, Maitreyee Sharma Priyadarshini, Richard L. Jaffe, Bruno López, David W. Schwenke, Maninder S. Grover, Paolo Valentini, Alessandro Munafò, Thomas E. Schwartzentruber and Jae Gang Kim and has published in prestigious journals such as The Journal of Chemical Physics, Scientific Reports and Physical Chemistry Chemical Physics.

In The Last Decade

Simone Venturi

26 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Venturi United States 9 177 102 82 73 60 27 295
Wolfgang Ebeling Germany 12 37 0.2× 59 0.6× 16 0.2× 52 0.7× 48 0.8× 58 533
Frank G. Lether United States 11 94 0.5× 82 0.8× 39 0.5× 16 0.2× 24 0.4× 37 308
E. Kestemont Belgium 10 71 0.4× 91 0.9× 124 1.5× 64 0.9× 145 2.4× 22 355
N. N. Kalitkin Russia 8 60 0.3× 65 0.6× 105 1.3× 28 0.4× 32 0.5× 95 358
A. Rossani Italy 10 152 0.9× 118 1.2× 85 1.0× 28 0.4× 165 2.8× 42 302
Jacques Schneider France 10 349 2.0× 144 1.4× 271 3.3× 21 0.3× 103 1.7× 17 470
Wilhelmus M. Ruyten United States 12 38 0.2× 200 2.0× 49 0.6× 19 0.3× 9 0.1× 39 379
Tomasz Dobrowolski Poland 11 29 0.2× 75 0.7× 11 0.1× 14 0.2× 65 1.1× 54 299
Manaure Francisquez United States 11 18 0.1× 34 0.3× 45 0.5× 73 1.0× 29 0.5× 32 357

Countries citing papers authored by Simone Venturi

Since Specialization
Citations

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

Fields of papers citing papers by Simone Venturi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Venturi

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Venturi. A scholar is included among the top collaborators of Simone Venturi 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 Simone Venturi. Simone Venturi 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.
Priyadarshini, Maitreyee Sharma, et al.. (2023). Efficient quasi-classical trajectory calculations by means of neural operator architectures. Physical Chemistry Chemical Physics. 25(20). 13902–13912. 6 indexed citations
2.
Venturi, Simone, et al.. (2023). Rovibrational internal energy transfer and dissociation of high-temperature oxygen mixture. The Journal of Chemical Physics. 158(6). 64305–64305. 13 indexed citations
3.
Venturi, Simone, et al.. (2023). An uncertainty-aware strategy for plasma mechanism reduction with directed weighted graphs. Physics of Plasmas. 30(4). 6 indexed citations
4.
5.
Venturi, Simone, et al.. (2023). Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows. Scientific Reports. 13(1). 15497–15497. 12 indexed citations
6.
Venturi, Simone, et al.. (2022). Rovibrational-Specific QCT and Master Equation Study on N2(X1Σg+) + O(3P) and NO(X2Π) + N(4S) Systems in High-Energy Collisions. The Journal of Physical Chemistry A. 126(21). 3273–3290. 27 indexed citations
7.
Venturi, Simone, et al.. (2022). SVD perspectives for augmenting DeepONet flexibility and interpretability. Computer Methods in Applied Mechanics and Engineering. 403. 115718–115718. 31 indexed citations
8.
Priyadarshini, Maitreyee Sharma, et al.. (2022). Comprehensive Study of HCN: Potential Energy Surfaces, State-to-State Kinetics, and Master Equation Analysis. The Journal of Physical Chemistry A. 126(44). 8249–8265. 7 indexed citations
9.
Munafò, Alessandro, et al.. (2022). Rovibrational-Specific Master Equation Analysis of High-Temperature Air Mixture. AIAA SCITECH 2022 Forum. 1 indexed citations
10.
Priyadarshini, Maitreyee Sharma, Simone Venturi, Richard L. Jaffe, David W. Schwenke, & Marco Panesi. (2022). Importance of Exchange Processes in Earth and Mars Atmospheric Kinetics: Application to HCN System. AIAA SCITECH 2022 Forum. 1 indexed citations
11.
Venturi, Simone, Marco Di Felice, Michele Lombardi, et al.. (2022). Towards Smart Cities for Tourism: the POLIS-EYE Project. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–7. 1 indexed citations
12.
Priyadarshini, Maitreyee Sharma, et al.. (2021). Application of DeepOnet to model inelastic scattering probabilities in air mixtures. AIAA AVIATION 2021 FORUM. 9 indexed citations
13.
Venturi, Simone, Richard L. Jaffe, & Marco Panesi. (2020). Bayesian Machine Learning Approach to the Quantification of Uncertainties on Ab Initio Potential Energy Surfaces. The Journal of Physical Chemistry A. 124(25). 5129–5146. 54 indexed citations
14.
Venturi, Simone, Maitreyee Sharma Priyadarshini, Bruno López, & Marco Panesi. (2020). Data-Inspired and Physics-Driven Model Reduction for Dissociation: Application to the O2 + O System. The Journal of Physical Chemistry A. 124(41). 8359–8372. 40 indexed citations
15.
Munafò, Alessandro, Simone Venturi, Maitreyee Sharma Priyadarshini, & Marco Panesi. (2020). Reduced-Order Modeling for Non-equilibrium Air Flows. AIAA Scitech 2020 Forum. 3 indexed citations
16.
Priyadarshini, Maitreyee Sharma, Simone Venturi, Alessandro Munafò, & Marco Panesi. (2019). Application of ab-initio based grouped rates for modeling non-equilibrium flow physics. AIAA Scitech 2019 Forum.
17.
Venturi, Simone, et al.. (2018). Calibration and Uncertainty Quantification of VISTA Ablator Material Database Using Bayesian Inference. Journal of Thermophysics and Heat Transfer. 33(2). 356–369. 8 indexed citations
18.
Venturi, Simone & Marco Panesi. (2018). Investigating CO Dissociation by means of Coarse Grained Ab-Initio Rate Constants. 2018 AIAA Aerospace Sciences Meeting. 4 indexed citations
19.
Jaffe, Richard L., Maninder S. Grover, Simone Venturi, et al.. (2018). Comparison of Potential Energy Surface and Computed Rate Coefficients for N2 Dissociation. Journal of Thermophysics and Heat Transfer. 32(4). 869–881. 29 indexed citations
20.
Jaffe, Richard L., David W. Schwenke, Maninder S. Grover, et al.. (2016). Comparison of quantum mechanical and empirical potential energy surfaces and computed rate coefficients for N2dissociation. 54th AIAA Aerospace Sciences Meeting. 12 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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