Eduardo N. Dvorkin

5.2k total citations · 3 hit papers
64 papers, 4.0k citations indexed

About

Eduardo N. Dvorkin is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Eduardo N. Dvorkin has authored 64 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanics of Materials, 31 papers in Mechanical Engineering and 19 papers in Civil and Structural Engineering. Recurrent topics in Eduardo N. Dvorkin's work include Composite Structure Analysis and Optimization (19 papers), Numerical methods in engineering (13 papers) and Metal Forming Simulation Techniques (12 papers). Eduardo N. Dvorkin is often cited by papers focused on Composite Structure Analysis and Optimization (19 papers), Numerical methods in engineering (13 papers) and Metal Forming Simulation Techniques (12 papers). Eduardo N. Dvorkin collaborates with scholars based in Argentina, United States and China. Eduardo N. Dvorkin's co-authors include Klaus‐Jürgen Bathe, Miloš Kojić, Alberto M. Cuitiño, Gustavo Gioia, Marcela B. Goldschmit, Daniel Pantuso, E.A. Repetto, J. Oliver, Klaus Jürgen Bathe and Rubén A. Toscano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cement and Concrete Research and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Eduardo N. Dvorkin

59 papers receiving 3.6k citations

Hit Papers

A continuum mechanics based four‐node shell element for g... 1984 2026 1998 2012 1984 1985 1986 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo N. Dvorkin Argentina 21 3.1k 2.1k 953 771 735 64 4.0k
Mostafa Abdalla Netherlands 35 3.2k 1.0× 2.6k 1.3× 922 1.0× 794 1.0× 621 0.8× 138 4.6k
T. H. H. Pian United States 33 4.4k 1.4× 2.6k 1.2× 805 0.8× 952 1.2× 836 1.1× 100 5.2k
Werner Wagner Germany 30 2.4k 0.8× 1.5k 0.7× 552 0.6× 301 0.4× 564 0.8× 147 3.1k
F. Armero United States 34 3.5k 1.1× 1.1k 0.6× 742 0.8× 1.6k 2.1× 648 0.9× 63 4.9k
Y.K. Cheung Hong Kong 34 2.3k 0.7× 2.5k 1.2× 752 0.8× 482 0.6× 1.4k 1.9× 155 4.2k
V. V. Bolotin Russia 24 2.2k 0.7× 1.5k 0.7× 828 0.9× 535 0.7× 1.7k 2.3× 86 4.0k
L. Vu‐Quoc United States 31 2.4k 0.8× 1.9k 0.9× 994 1.0× 1.3k 1.7× 2.3k 3.1× 90 5.2k
E. Riks Netherlands 12 1.8k 0.6× 1.6k 0.8× 617 0.6× 249 0.3× 483 0.7× 22 2.7k
Z. Mróz Poland 37 3.8k 1.2× 3.3k 1.6× 1.6k 1.7× 672 0.9× 180 0.2× 204 6.4k
Donald W. Kelly Australia 21 1.9k 0.6× 875 0.4× 513 0.5× 1.1k 1.4× 288 0.4× 54 2.9k

Countries citing papers authored by Eduardo N. Dvorkin

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo N. Dvorkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo N. Dvorkin. 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 Eduardo N. Dvorkin. The network helps show where Eduardo N. Dvorkin may publish in the future.

Co-authorship network of co-authors of Eduardo N. Dvorkin

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo N. Dvorkin. A scholar is included among the top collaborators of Eduardo N. Dvorkin 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 Eduardo N. Dvorkin. Eduardo N. Dvorkin 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.
Dvorkin, Eduardo N.. (2021). Estilos tecnológicos y desarrollo autónomo. SHILAP Revista de lepidopterología. 4(6). 53–53.
2.
Radovitzky, Raùl, et al.. (2021). A parallel staggered hydraulic fracture simulator incorporating fluid lag. Computer Methods in Applied Mechanics and Engineering. 384. 114003–114003. 7 indexed citations
3.
Dvorkin, Eduardo N., et al.. (2019). On the finite element modeling of COPVs. Computers & Structures. 220. 1–13. 9 indexed citations
4.
Dvorkin, Eduardo N., et al.. (2013). Finite Element Analysis of the Collapse and Post-Collapse Behavior of Steel Pipes: Applications to the Oil Industry. SpringerBriefs in applied sciences and technology. 9 indexed citations
5.
Dvorkin, Eduardo N., et al.. (2007). A shell element for finite strain analyses: hyperelastic material models. Engineering Computations. 24(5). 514–535. 11 indexed citations
6.
Toscano, Rubén A. & Eduardo N. Dvorkin. (2006). Deepwater Pipelines: Reliability of Finite Element Models in the Prediction of Collapse and Collapse Propagation Loads. 159–167. 1 indexed citations
8.
Dvorkin, Eduardo N., et al.. (2003). Determination of the Collapse and Propagation Pressure of Ultra-Deepwater Pipelines. 721–729. 10 indexed citations
9.
Dvorkin, Eduardo N., et al.. (2003). Finite element models in the steel industry. Computers & Structures. 81(8-11). 559–573. 16 indexed citations
10.
Dvorkin, Eduardo N.. (2001). On the convergence of incompressible finite element formulations. Engineering Computations. 18(3/4). 539–556. 13 indexed citations
11.
Dvorkin, Eduardo N., et al.. (2001). Modeling of metal forming processes: implementation of an iterative solver in the flow formulation. Computers & Structures. 79(20-21). 1933–1942. 10 indexed citations
12.
Goldschmit, Marcela B., et al.. (2001). Finite element analysis of steel rolling processes. Computers & Structures. 79(22-25). 2075–2089. 43 indexed citations
13.
Armero, F. & Eduardo N. Dvorkin. (2000). On finite elements for nonlinear solid mechanics. Computers & Structures. 75(3). 235–235. 4 indexed citations
14.
Dvorkin, Eduardo N.. (1996). Finite strain elasto-plastic formulations using the method of mixed interpolation of tensorial components. Computational Mechanics. 18(4). 290–301. 4 indexed citations
15.
Dvorkin, Eduardo N.. (1995). Nonlinear analysis of shells using the MITC formulation. Archives of Computational Methods in Engineering. 2(2). 1–50. 22 indexed citations
16.
Goldschmit, Marcela B., Eduardo N. Dvorkin, & Daniel Pantuso. (1994). Comentarios sobre algunas herramientas utilizadas en la resolución de problemas no-lineales de mecánica del continuo. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 10(1). 47–66. 3 indexed citations
17.
Radovitzky, Raùl & Eduardo N. Dvorkin. (1994). A 3D element for non‐linear analysis of solids. Communications in Numerical Methods in Engineering. 10(3). 183–194. 6 indexed citations
18.
Dvorkin, Eduardo N., Daniel Pantuso, & E.A. Repetto. (1994). A finite element formulation for finite strain elasto-plastic analysis based on mixed interpolation of tensorial components. Computer Methods in Applied Mechanics and Engineering. 114(1-2). 35–54. 17 indexed citations
19.
Bathe, Klaus‐Jürgen & Eduardo N. Dvorkin. (1985). A four‐node plate bending element based on Mindlin/Reissner plate theory and a mixed interpolation. International Journal for Numerical Methods in Engineering. 21(2). 367–383. 821 indexed citations breakdown →
20.
Dvorkin, Eduardo N. & Klaus‐Jürgen Bathe. (1984). A continuum mechanics based four‐node shell element for general non‐linear analysis. Engineering Computations. 1(1). 77–88. 1005 indexed citations breakdown →

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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