Elena Raponi

456 citations
22 papers · 256 · h-index 9

Impact in

Papers in

Elena Raponi

21 papers receiving 251 citations

Peers

Elena Raponi
Comparison fields: 5 of 65
  • Polymers and Plastics 71
  • Civil and Structural Engineering 95
  • Computational Theory and Mathematics 61
  • Mechanics of Materials 91
  • Statistics, Probability and Uncertainty 18
Replace Vincent K. Maes with:
Vincent K. Maes United Kingdom
Bogdan Bochenek Poland
Mishal Thapa United States
Tianshuang Xu China
Soo‐Chang Kang South Korea
Xun’an Zhang China
S. Dey India
R. A. Gellatly United Kingdom
Theodore F. Johnson United States
Xin Xiao China
Elena Raponi relative to Vincent K. Maes United Kingdom Vincent K. Maes's profile →
Citations per field
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Vincent K. Maes · 1×
Citations per year

Countries citing papers authored by Elena Raponi

Since Specialization
Citations

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

Fields of papers citing papers by Elena Raponi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Elena Raponi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Elena Raponi Line = papers co-authored together Elena Raponi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201978
2 202233
3 202317
4 202117
5 201916
6 201815
7 202114
8 201912
9 202411
10 20228
11 20236
12 20216
13
Kriging-guided level set method for crash topology optimization
20176
14 20196
15 20233
16 20242
17 20222
18 20231
19 20241
20 20221

About Elena Raponi

Elena Raponi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Civil and Structural Engineering, Mechanics of Materials and Polymers and Plastics, having authored 22 papers that have together received 256 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (10 papers), Natural Fiber Reinforced Composites (6 papers), Mechanical Behavior of Composites (5 papers), Topology Optimization in Engineering (4 papers), Metaheuristic Optimization Algorithms Research (3 papers), Machine Learning and Data Classification (3 papers), Structural Response to Dynamic Loads (2 papers) and Mechanical Engineering and Vibrations Research (2 papers). The work is most often cited by research in Polymers and Plastics (71 citations), Civil and Structural Engineering (95 citations), Computational Theory and Mathematics (61 citations), Mechanics of Materials (91 citations) and Statistics, Probability and Uncertainty (18 citations). Elena Raponi has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Simonetta Boria, Fabian Duddeck, Mariusz Bujny, Markus Olhofer, Nikola Aulig, Jacopo Tirillò, Fabrizio Sarasini, Bas van Stein, Thomas Bäck and Zahra Sadeghi. Their work appears in journals such as Composite Structures, Journal of Composite Materials, Computer Methods in Applied Mechanics and Engineering, Optimization and Engineering and IEEE Access.

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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