E. Nadal

643 total citations
47 papers, 443 citations indexed

About

E. Nadal is a scholar working on Computational Mechanics, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, E. Nadal has authored 47 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 17 papers in Mechanics of Materials and 13 papers in Electrical and Electronic Engineering. Recurrent topics in E. Nadal's work include Advanced Numerical Methods in Computational Mathematics (16 papers), Electromagnetic Simulation and Numerical Methods (12 papers) and Numerical methods in engineering (11 papers). E. Nadal is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (16 papers), Electromagnetic Simulation and Numerical Methods (12 papers) and Numerical methods in engineering (11 papers). E. Nadal collaborates with scholars based in Spain, France and United Kingdom. E. Nadal's co-authors include F.J. Fuenmayor, Juan José Ródenas, M. Tur, Francisco Chinesta, Stéphane Bordas, Pierre Kerfriden, Octavio Andrés González‐Estrada, José Vicente Aguado, J.E. Tarancón and Antonio Huerta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Sensors.

In The Last Decade

E. Nadal

45 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. Nadal Spain	12	188	166	121	68	63	47	443
Jean Louis Duval France	10	143 0.8×	63 0.4×	169 1.4×	83 1.2×	57 0.9×	31	487
Geoffrey Bomarito United States	11	103 0.5×	50 0.3×	155 1.3×	63 0.9×	36 0.6×	28	398
Xiaodong Wei China	18	115 0.6×	636 3.8×	170 1.4×	76 1.1×	43 0.7×	44	820
Robin Bouclier France	16	273 1.5×	499 3.0×	241 2.0×	84 1.2×	23 0.4×	39	708
Domenico Borzacchiello France	12	96 0.5×	114 0.7×	76 0.6×	60 0.9×	24 0.4×	29	460
Felipe Bordeu France	9	262 1.4×	175 1.1×	144 1.2×	159 2.3×	29 0.5×	21	651
S. Yoshimura Japan	15	324 1.7×	209 1.3×	168 1.4×	147 2.2×	15 0.2×	49	635
Pierre‐Alain Boucard France	15	254 1.4×	133 0.8×	108 0.9×	128 1.9×	27 0.4×	59	632
Igor Tsukanov United States	14	328 1.7×	458 2.8×	96 0.8×	240 3.5×	142 2.3×	25	808

Countries citing papers authored by E. Nadal

Since Specialization

Citations

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

Fields of papers citing papers by E. Nadal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Nadal

This figure shows the co-authorship network connecting the top 25 collaborators of E. Nadal. A scholar is included among the top collaborators of E. Nadal 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 E. Nadal. E. Nadal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Denia, F.D., et al.. (2025). Acoustic topology optimization using a mixed formulation and a three-material scheme. Results in Engineering. 25. 104144–104144.

Nadal, E., Ana Palanca, Sergio Martínez‐Hervás, et al.. (2024). Machine Learning Model in Obesity to Predict Weight Loss One Year after Bariatric Surgery: A Pilot Study. Biomedicines. 12(6). 1175–1175. 1 indexed citations

Ródenas, Juan José, et al.. (2024). Two-Level High-Resolution Structural Topology Optimization with Equilibrated Cells. Computer-Aided Design. 179. 103811–103811. 1 indexed citations

Nadal, E., et al.. (2024). Methodology for the assessment of the risk of failure of metastatic vertebrae through ROM-based patient-specific simulations. Computers & Structures. 296. 107298–107298. 1 indexed citations

Allix, Olivier, et al.. (2023). Manifold learning for coherent design interpolation based on geometrical and topological descriptors. Computer Methods in Applied Mechanics and Engineering. 405. 115859–115859. 3 indexed citations

Pérez, Juan J., E. Nadal, Enrique Berjano, & Ana González‐Suárez. (2022). Computer modeling of radiofrequency cardiac ablation including heartbeat-induced electrode displacement. Computers in Biology and Medicine. 144. 105346–105346. 13 indexed citations

Nadal, E., et al.. (2022). Allying topology and shape optimization through machine learning algorithms. Finite Elements in Analysis and Design. 204. 103719–103719. 8 indexed citations

Sevilla, Rubén, et al.. (2021). High‐order discontinuous Galerkin method for time‐domain electromagnetics on geometry‐independent Cartesian meshes. International Journal for Numerical Methods in Engineering. 122(24). 7632–7663. 5 indexed citations

Falcó, Antonio, et al.. (2020). A Path Planning Algorithm for a Dynamic Environment Based on Proper Generalized Decomposition. Mathematics. 8(12). 2245–2245. 9 indexed citations

10.

Falcó, Antonio, et al.. (2020). Towards a Vector Field Based Approach to the Proper Generalized Decomposition (PGD). Mathematics. 9(1). 34–34. 7 indexed citations

11.

Nadal, E., et al.. (2020). ASSESSMENT OF THE USE OF TECHNICAL SOFTWARE BY THE STUDENTS IN THE CONTEXT OF MECHANICAL ENGINEERING. ICERI proceedings. 1. 3344–3348.

12.

Pérez, Juan J., Ana González‐Suárez, E. Nadal, & Enrique Berjano. (2020). Thermal impact of replacing constant voltage by low-frequency sine wave voltage in RF ablation computer modeling. Computer Methods and Programs in Biomedicine. 195. 105673–105673. 10 indexed citations

13.

Rupérez, María José, E. Nadal, Eugenia Pareja, et al.. (2018). Estimating the Relative Stiffness between a Hepatic Lesion and the Liver Parenchyma through Biomechanical Simulations of the Breathing Process. Mathematical Problems in Engineering. 2018. 1–10. 1 indexed citations

14.

Nadal, E., José Vicente Aguado, Emmanuelle Abisset‐Chavanne, et al.. (2017). A physically-based fractional diffusion model for semi-dilute suspensions of rods in a Newtonian fluid. Applied Mathematical Modelling. 51. 58–67. 7 indexed citations

15.

Ródenas, Juan José, et al.. (2017). Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection. Structural and Multidisciplinary Optimization. 58(1). 61–81. 3 indexed citations

16.

Denia, F.D., et al.. (2017). Computational performance of analytical methods for the acoustic modelling of automotive exhaust devices incorporating monoliths. Journal of Computational and Applied Mathematics. 330. 995–1006. 7 indexed citations

17.

Tur, M., et al.. (2017). An approach to geometric optimisation of railway catenaries. Vehicle System Dynamics. 56(8). 1162–1186. 43 indexed citations

18.

Nadal, E., Pedro Dı́ez, Juan José Ródenas, M. Tur, & F.J. Fuenmayor. (2015). A recovery-explicit error estimator in energy norm for linear elasticity. Computer Methods in Applied Mechanics and Engineering. 287. 172–190. 9 indexed citations

19.

Nadal, E., et al.. (2013). Efficient Finite Element Methodology Based on Cartesian Grids: Application to Structural Shape Optimization. Abstract and Applied Analysis. 2013. 1–19. 52 indexed citations

20.

González‐Estrada, Octavio Andrés, et al.. (2012). Locally equilibrated superconvergent patch recovery for efficient error estimation in quantities of interest. arXiv (Cornell University). 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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