Edmondo Minisci

1.2k total citations
90 papers, 756 citations indexed

About

Edmondo Minisci is a scholar working on Aerospace Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Edmondo Minisci has authored 90 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Aerospace Engineering, 19 papers in Artificial Intelligence and 19 papers in Computational Theory and Mathematics. Recurrent topics in Edmondo Minisci's work include Advanced Multi-Objective Optimization Algorithms (18 papers), Spacecraft Dynamics and Control (17 papers) and Metaheuristic Optimization Algorithms Research (14 papers). Edmondo Minisci is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (18 papers), Spacecraft Dynamics and Control (17 papers) and Metaheuristic Optimization Algorithms Research (14 papers). Edmondo Minisci collaborates with scholars based in United Kingdom, Italy and Germany. Edmondo Minisci's co-authors include Massimiliano Vasile, Marco Locatelli, M. Sergio Campobasso, Giulio Avanzini, Alessio Castorrini, Aldo Bonfiglioli, Annalisa Riccardi, David Camacho, Víctor Rodríguez-Fernández and Piyush M. Mehta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Energy Conversion and Management.

In The Last Decade

Edmondo Minisci

86 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edmondo Minisci United Kingdom 16 410 155 146 105 103 90 756
Seid H. Pourtakdoust Iran 17 486 1.2× 40 0.3× 141 1.0× 115 1.1× 75 0.7× 90 840
E. Andrés Spain 11 118 0.3× 132 0.9× 40 0.3× 57 0.5× 135 1.3× 28 604
Masahiro Kanazaki Japan 12 301 0.7× 175 1.1× 50 0.3× 21 0.2× 107 1.0× 90 549
Mrinal Kumar United States 17 165 0.4× 63 0.4× 206 1.4× 21 0.2× 149 1.4× 118 953
S. V. Utyuzhnikov United Kingdom 15 156 0.4× 121 0.8× 29 0.2× 27 0.3× 68 0.7× 57 620
Peter Sturdza United States 10 274 0.7× 125 0.8× 21 0.1× 24 0.2× 148 1.4× 15 807
Jamshid A. Samareh United States 17 520 1.3× 197 1.3× 18 0.1× 76 0.7× 176 1.7× 60 1.2k
Suzanne Smith United States 21 518 1.3× 16 0.1× 34 0.2× 96 0.9× 132 1.3× 120 1.2k
Domenico Spina Belgium 16 96 0.2× 115 0.7× 84 0.6× 63 0.6× 273 2.7× 63 792
Evin Cramer United States 10 259 0.6× 280 1.8× 44 0.3× 10 0.1× 182 1.8× 26 768

Countries citing papers authored by Edmondo Minisci

Since Specialization
Citations

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

Fields of papers citing papers by Edmondo Minisci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edmondo Minisci

This figure shows the co-authorship network connecting the top 25 collaborators of Edmondo Minisci. A scholar is included among the top collaborators of Edmondo Minisci 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 Edmondo Minisci. Edmondo Minisci 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.
Yuan, Jie, et al.. (2022). A numerical approach to evaluate temperature-dependent peridynamics damage model for destructive atmospheric entry of spacecraft. The Aeronautical Journal. 127(1309). 398–427. 3 indexed citations
2.
Rodríguez-Fernández, Víctor, et al.. (2021). A deep learning approach to solar radio flux forecasting. Acta Astronautica. 193. 595–606. 25 indexed citations
3.
Afsar, Mohammed, et al.. (2021). Assessment of Optimization Methods for Aeroacoustic Prediction of Trailing-Edge Interaction Noise in Axisymmetric Jets. Mathematics. 9(9). 998–998. 2 indexed citations
4.
Vasile, Massimiliano, et al.. (2019). Adaptive multi-population inflationary differential evolution. Soft Computing. 24(5). 3861–3891. 24 indexed citations
5.
Giugliano, Dario, et al.. (2018). Optimisation based analysis of the effect of particle spatial distribution on the elastic behaviour of PRMMC. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 indexed citations
6.
Beck, James, et al.. (2017). GOCE radar-based Orbit Determination for Re-Entry Predictions and comparison with GPS-based POD. 2 indexed citations
7.
Minisci, Edmondo, et al.. (2017). FOSTRAD: An advanced open source tool for re-entry analysis. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 4 indexed citations
8.
Vasile, Massimiliano, Edmondo Minisci, & Ke Tang. (2017). Computational Intelligence in Aerospace Science and Engineering [Guest Editorial]. IEEE Computational Intelligence Magazine. 12(4). 12–13. 3 indexed citations
9.
Mehta, Piyush M., et al.. (2016). Sensitivity analysis and probabilistic re-entry modeling for debris using high dimensional model representation based uncertainty treatment. Advances in Space Research. 59(1). 193–211. 13 indexed citations
10.
Bertetto, Andrea Manuello, et al.. (2015). A novel model for uncertainty propagation analysis applied for human thermal comfort evaluation. WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT. 11. 246–255. 1 indexed citations
11.
Mehta, Piyush M., Andrew Walker, Melrose Brown, Edmondo Minisci, & Massimiliano Vasile. (2015). Sensitivity Analysis towards Probabilistic Re-Entry Modeling of Spacecraft and Space Debris. AIAA Modeling and Simulation Technologies Conference. 6 indexed citations
12.
Minisci, Edmondo, et al.. (2015). HIGH DIMENSIONAL SENSITIVITY ANALYSIS USING SURROGATE MODELING AND HIGH DIMENSIONAL MODEL REPRESENTATION. International Journal for Uncertainty Quantification. 5(5). 393–414. 15 indexed citations
13.
Campobasso, M. Sergio, et al.. (2014). Aerodynamic design optimization of wind turbine rotors under geometric uncertainty. Wind Energy. 19(1). 51–65. 31 indexed citations
14.
Minisci, Edmondo & Massimiliano Vasile. (2014). Adaptive Inflationary Differential Evolution. 10 indexed citations
15.
Minisci, Edmondo, et al.. (2013). Re-entry trajectory optimization for a SSTO vehicle in the presence of atmosheric uncertainties. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 indexed citations
16.
Vasile, Massimiliano, et al.. (2011). Optimal power harness routing for small-scale satellites. Minerva Medica. 72(15). 957–60. 2 indexed citations
17.
Minisci, Edmondo, et al.. (2011). Multi-disciplinary shape optimization of an entry capsule integrated with custom neural network approximation and multi-delity approach. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 indexed citations
18.
Campobasso, M. Sergio, Alessandro Zanon, Edmondo Minisci, & Aldo Bonfiglioli. (2009). Wake-tracking and turbulence modelling in computational aerodynamics of wind turbine aerofoils. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 223(8). 939–951. 3 indexed citations
19.
Minisci, Edmondo, et al.. (2005). Multi-Objective Evolutionary Optimization of Subsonic Airfoils by Kriging Approximation and Evolution Control. 2. 1262–1267. 12 indexed citations
20.
Avanzini, Giulio, et al.. (2003). Minimum-Fuel/Minimum-Time Maneuvers of Formation Flying Satellites. IRIS Research product catalog (Sapienza University of Rome). 16 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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