Marta D’Elia

2.6k total citations
72 papers, 1.5k citations indexed

About

Marta D’Elia is a scholar working on Mechanics of Materials, Computational Mechanics and Modeling and Simulation. According to data from OpenAlex, Marta D’Elia has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mechanics of Materials, 22 papers in Computational Mechanics and 18 papers in Modeling and Simulation. Recurrent topics in Marta D’Elia's work include Numerical methods in engineering (30 papers), Fractional Differential Equations Solutions (18 papers) and Advanced Numerical Methods in Computational Mathematics (17 papers). Marta D’Elia is often cited by papers focused on Numerical methods in engineering (30 papers), Fractional Differential Equations Solutions (18 papers) and Advanced Numerical Methods in Computational Mathematics (17 papers). Marta D’Elia collaborates with scholars based in United States, Italy and Germany. Marta D’Elia's co-authors include Max Gunzburger, Qiang Du, Alessandro Veneziani, Xiaochuan Tian, Mauro Perego, Richard B. Lehoucq, Huaiqian You, George Em Karniadakis, Pavel Bochev and Stewart Silling and has published in prestigious journals such as Acta Materialia, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Marta D’Elia

68 papers receiving 1.4k citations

Peers

Marta D’Elia
Comparison fields: 5 of 96
  • Mechanics of Materials 591
  • Modeling and Simulation 354
  • Computational Mechanics 348
  • Statistical and Nonlinear Physics 270
  • Numerical Analysis 215
Replace Dong Liang with:
Dong Liang China
D.L. Young Taiwan
Mohammed Seaı̈d United Kingdom
Chia‐Cheng Tsai Taiwan
Dean G. Duffy United States
Marcelo H. Kobayashi United States
Andrew P. Bassom Australia
M. Zerroukat United Kingdom
R. Peyret France
Juan E. Santos Argentina
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Citations per field, relative to Marta D’Elia
Marta D’Elia · 1×
Citations per year, relative to Marta D’Elia
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Countries citing papers authored by Marta D’Elia

Since Specialization
Citations

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

Fields of papers citing papers by Marta D’Elia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta D’Elia. 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 Marta D’Elia. The network helps show where Marta D’Elia may publish in the future.

Co-authorship network of co-authors of Marta D’Elia

This figure shows the co-authorship network connecting the top 25 collaborators of Marta D’Elia. A scholar is included among the top collaborators of Marta D’Elia 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 Marta D’Elia. Marta D’Elia 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
# Work Indexed citations
1 11
2 6
3 0
4 0
5 5
6 7
7 1
8 1
9 15
10 2
11 3
12
Data-driven learning of Reynolds stress tensor using nonlocal models
1
13 37
14 12
15 9
16 37
17
Finite range jump processes and volume–constrained diffusion problems
10
18 139
19 60
20
Reduced Basis Method for Parametrized Differential Algebraic Equations
3

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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