Daniële Peri

1.5k total citations
58 papers, 1.1k citations indexed

About

Daniële Peri is a scholar working on Ocean Engineering, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Daniële Peri has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Ocean Engineering, 27 papers in Computational Theory and Mathematics and 12 papers in Artificial Intelligence. Recurrent topics in Daniële Peri's work include Ship Hydrodynamics and Maneuverability (36 papers), Advanced Multi-Objective Optimization Algorithms (26 papers) and Metaheuristic Optimization Algorithms Research (12 papers). Daniële Peri is often cited by papers focused on Ship Hydrodynamics and Maneuverability (36 papers), Advanced Multi-Objective Optimization Algorithms (26 papers) and Metaheuristic Optimization Algorithms Research (12 papers). Daniële Peri collaborates with scholars based in Italy, United States and Japan. Daniële Peri's co-authors include Emilio F. Campana, Frederick Stern, Yusuke Tahara, Matteo Diez, Gustavo Adolfo Saavedra Pinto, Emiliano Cristiani, Giovanni Fasano, Veronica Piccialli, Giampaolo Liuzzi and Stefano Lucidi and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and Computers & Industrial Engineering.

In The Last Decade

Daniële Peri

52 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniële Peri Italy 17 771 389 383 199 178 58 1.1k
Weilin Luo China 16 515 0.7× 78 0.2× 79 0.2× 110 0.6× 115 0.6× 53 864
Katherine Dykes United States 22 138 0.2× 94 0.2× 644 1.7× 339 1.7× 67 0.4× 76 1.6k
Nateri K. Madavan United States 16 229 0.3× 215 0.6× 48 0.1× 763 3.8× 263 1.5× 56 1.3k
John J. Korte United States 14 79 0.1× 655 1.7× 94 0.2× 389 2.0× 276 1.6× 40 1.6k
Xiao Liang China 16 375 0.5× 55 0.1× 129 0.3× 43 0.2× 78 0.4× 75 1.0k
Panagiotis Kaklis Greece 20 233 0.3× 84 0.2× 83 0.2× 681 3.4× 207 1.2× 56 1.0k
Nam-Kyun Im South Korea 17 678 0.9× 60 0.2× 124 0.3× 49 0.2× 140 0.8× 77 1.0k
Mark Savill United Kingdom 20 63 0.1× 171 0.4× 227 0.6× 776 3.9× 280 1.6× 131 1.4k
Søren R. K. Nielsen Denmark 22 221 0.3× 79 0.2× 145 0.4× 488 2.5× 271 1.5× 81 1.5k
Vicente Romero United States 14 65 0.1× 235 0.6× 52 0.1× 169 0.8× 96 0.5× 87 859

Countries citing papers authored by Daniële Peri

Since Specialization
Citations

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

Fields of papers citing papers by Daniële Peri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniële Peri

This figure shows the co-authorship network connecting the top 25 collaborators of Daniële Peri. A scholar is included among the top collaborators of Daniële Peri 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 Daniële Peri. Daniële Peri 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.
Peri, Daniële. (2024). Multi-objective optimization of the appendages of a sailing yacht using the Normal Boundary Intersection method. Mathematics and Computers in Simulation. 229. 885–895.
2.
Peri, Daniële. (2023). Machine learning algorithms in ship design optimization. Ship Technology Research. 71(1). 1–13.
3.
Bretti, Gabriella, et al.. (2021). Estimation Algorithm for a Hybrid PDE–ODE Model Inspired by Immunocompetent Cancer-on-Chip Experiment. Axioms. 10(4). 243–243. 12 indexed citations
4.
Pontrelli, Giuseppe, et al.. (2021). Mathematical modelling of drug delivery from pH-responsive nanocontainers. Computers in Biology and Medicine. 131. 104238–104238. 21 indexed citations
5.
Peri, Daniële. (2020). Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem. Journal of Marine Science and Engineering. 8(9). 699–699. 7 indexed citations
6.
Peri, Daniële. (2019). Hybridization of the imperialist competitive algorithm and local search with application to ship design optimization. Computers & Industrial Engineering. 137. 106069–106069. 9 indexed citations
7.
Cristiani, Emiliano & Daniële Peri. (2019). Robust design optimization for egressing pedestrians in unknown environments. Applied Mathematical Modelling. 72. 553–568. 9 indexed citations
8.
Peri, Daniële. (2017). Easy-to-implement multidimensional spline interpolation with application to ship design optimisation. Ship Technology Research. 65(1). 32–46. 6 indexed citations
9.
Cristiani, Emiliano & Daniële Peri. (2016). Handling obstacles in pedestrian simulations: Models and optimization. Applied Mathematical Modelling. 45. 285–302. 45 indexed citations
10.
Peri, Daniële. (2016). Robust Design Optimization for the refit of a cargo ship using real seagoing data. Ocean Engineering. 123. 103–115. 13 indexed citations
11.
Peri, Daniële, Nicola Parolini, & F. Fossati. (2015). Multidisciplinary design optimization of a sailplan. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 177–187. 1 indexed citations
12.
Kandasamy, Manivannan, Daniële Peri, Yusuke Tahara, et al.. (2013). Simulation based design optimization of waterjet propelled Delft catamaran. International Shipbuilding Progress. 60. 277–308. 23 indexed citations
13.
Peri, Daniële, et al.. (2012). A multistart gradient-based algorithm with surrogate model for global optimization. 3(1). 24 indexed citations
14.
Tahara, Yusuke, et al.. (2012). Optimization of Waterjet Propelled High Speed Ships - JHSS and Delft Catamatran. 11(3). 318. 5 indexed citations
15.
Tahara, Yusuke, et al.. (2012). CFD-Based Multiobjective Stochastic Optimization of a Waterjet Propelled High Speed Ship(Summaries of Papers published by Staff of National Maritime Research Institute at Outside Organizations). 12(2). 143.
16.
Peri, Daniële. (2012). Conformal Free Form Deformation for the Optimisation of Complex Geometries. Ship Technology Research. 59(1). 36–41. 5 indexed citations
17.
Diez, Matteo, Daniële Peri, Emilio F. Campana, & Umberto Iemma. (2010). Robust Decision Making in Aerial and Marine Vehicles Optimization: a Designer's Viewpoint. 2(1). 68–86. 4 indexed citations
18.
Diez, Matteo & Daniële Peri. (2010). Robust optimization for ship conceptual design. Ocean Engineering. 37(11-12). 966–977. 59 indexed citations
19.
Peri, Daniële & Emilio F. Campana. (2005). High-Fidelity Models and Multiobjective Global Optimization Algorithms in Simulation-Based Design. Journal of Ship Research. 49(3). 159–175. 54 indexed citations
20.
Peri, Daniële, et al.. (2004). Multidiscilplinary Design Optimization of a Naval Frigate. 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 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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