Daniel Millán

2.2k total citations · 1 hit paper
26 papers, 1.7k citations indexed

About

Daniel Millán is a scholar working on Mechanics of Materials, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Daniel Millán has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanics of Materials, 7 papers in Computational Mechanics and 6 papers in Materials Chemistry. Recurrent topics in Daniel Millán's work include Numerical methods in engineering (9 papers), Advanced Numerical Methods in Computational Mathematics (4 papers) and Intracranial Aneurysms: Treatment and Complications (4 papers). Daniel Millán is often cited by papers focused on Numerical methods in engineering (9 papers), Advanced Numerical Methods in Computational Mathematics (4 papers) and Intracranial Aneurysms: Treatment and Complications (4 papers). Daniel Millán collaborates with scholars based in Spain, United States and Argentina. Daniel Millán's co-authors include Marino Arroyo, Christian Peco, Irene Arias, Alejandro F. Frangi, Juan R. Cebral, Marcelo A. Castro, Christopher M. Putman, Sunil Appanaboyina, Amir Abdollahi and Fatemeh Amiri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Journal of Applied Physics.

In The Last Decade

Daniel Millán

26 papers receiving 1.7k citations

Hit Papers

Phase-field modeling of fracture in linear thin shells 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Millán Spain 18 802 453 440 389 280 26 1.7k
Andrew L. Hazel United Kingdom 23 125 0.2× 893 2.0× 133 0.3× 403 1.0× 576 2.1× 67 2.4k
E. H. van Brummelen Netherlands 26 472 0.6× 1.5k 3.3× 88 0.2× 24 0.1× 83 0.3× 96 2.0k
Alejandro Mota United States 14 230 0.3× 146 0.3× 155 0.4× 52 0.1× 124 0.4× 29 731
August Johansson Norway 8 345 0.4× 542 1.2× 160 0.4× 14 0.0× 31 0.1× 15 1.5k
Johannes Ring Norway 3 281 0.4× 397 0.9× 155 0.4× 15 0.0× 32 0.1× 5 1.3k
Jan Blechta Czechia 4 289 0.4× 412 0.9× 156 0.4× 14 0.0× 31 0.1× 7 1.3k
Guiqin Liu China 20 740 0.9× 434 1.0× 182 0.4× 35 0.1× 161 0.6× 51 1.4k
Toshiaki Hisada Japan 28 230 0.3× 427 0.9× 52 0.1× 26 0.1× 245 0.9× 152 2.6k
Grand Roman Joldes Australia 23 312 0.4× 509 1.1× 26 0.1× 37 0.1× 383 1.4× 67 1.6k
Fernando Mendoza Santoyo Mexico 25 140 0.2× 222 0.5× 68 0.2× 31 0.1× 71 0.3× 169 2.1k

Countries citing papers authored by Daniel Millán

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Millán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Millán

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Millán. A scholar is included among the top collaborators of Daniel Millán 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 Daniel Millán. Daniel Millán 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.
Millán, Daniel, et al.. (2023). Modeling of wave propagation in polycrystalline ice with hierarchical density gradients. Finite Elements in Analysis and Design. 217. 103916–103916. 3 indexed citations
2.
Li, Bin, Daniel Millán, Alejandro Torres-Sànchez, Benoît Roman, & Marino Arroyo. (2018). A variational model of fracture for tearing brittle thin sheets. Journal of the Mechanics and Physics of Solids. 119. 334–348. 19 indexed citations
3.
Millán, Daniel, et al.. (2017). The solution of the Fokker-Planck equation using Lie groups. Advanced Studies in Theoretical Physics. 11. 477–485. 2 indexed citations
4.
Hashemian, Behrooz, Daniel Millán, & Marino Arroyo. (2016). Charting molecular free-energy landscapes with an atlas of collective variables. The Journal of Chemical Physics. 145(17). 174109–174109. 4 indexed citations
5.
Millán, Daniel, et al.. (2015). Cell-centred model for the simulation of curved cellular monolayers. Computational Particle Mechanics. 2(4). 359–370. 8 indexed citations
6.
Abdollahi, Amir, Daniel Millán, Christian Peco, Marino Arroyo, & Irene Arias. (2015). Revisiting pyramid compression to quantify flexoelectricity: A three-dimensional simulation study. Physical Review B. 91(10). 81 indexed citations
7.
Abdollahi, Amir, Christian Peco, Daniel Millán, et al.. (2015). Fracture toughening and toughness asymmetry induced by flexoelectricity. Physical Review B. 92(9). 65 indexed citations
8.
Giraldi, Gilson A., et al.. (2015). Composition of Local Normal Coordinates and Polyhedral Geometry in Riemannian Manifold Learning. RePEc: Research Papers in Economics. 5(2). 37–68. 2 indexed citations
9.
Peco, Christian, Daniel Millán, A. Rosolen, & Marino Arroyo. (2015). Efficient implementation of Galerkin meshfree methods for large-scale problems with an emphasis on maximum entropy approximants. Computers & Structures. 150. 52–62. 17 indexed citations
10.
Millán, Daniel, N. Sukumar, & Marino Arroyo. (2014). Cell-based maximum-entropy approximants. Computer Methods in Applied Mechanics and Engineering. 284. 712–731. 20 indexed citations
11.
Arroyo, Marino, Luca Heltai, Daniel Millán, & Antonio DeSimone. (2013). Reverse Engineering the Euglenoid Movement. Biophysical Journal. 104(2). 148a–148a. 3 indexed citations
12.
Amiri, Fatemeh, Daniel Millán, Yongxing Shen, Timon Rabczuk, & Marino Arroyo. (2013). Phase-field modeling of fracture in linear thin shells. Theoretical and Applied Fracture Mechanics. 69. 102–109. 258 indexed citations breakdown →
13.
Hashemian, Behrooz, Daniel Millán, & Marino Arroyo. (2013). Modeling and enhanced sampling of molecular systems with smooth and nonlinear data-driven collective variables. The Journal of Chemical Physics. 139(21). 214101–214101. 45 indexed citations
14.
Arroyo, Marino, Luca Heltai, Daniel Millán, & Antonio DeSimone. (2012). Reverse engineering the euglenoid movement. Proceedings of the National Academy of Sciences. 109(44). 17874–17879. 81 indexed citations
15.
Rosolen, A., Daniel Millán, & Marino Arroyo. (2012). Second‐order convex maximum entropy approximants with applications to high‐order PDE. International Journal for Numerical Methods in Engineering. 94(2). 150–182. 30 indexed citations
16.
Millán, Daniel, A. Rosolen, & Marino Arroyo. (2010). Thin shell analysis from scattered points with maximum‐entropy approximants. International Journal for Numerical Methods in Engineering. 85(6). 723–751. 54 indexed citations
17.
Rosolen, A., Daniel Millán, & Marino Arroyo. (2009). On the optimum support size in meshfree methods: A variational adaptivity approach with maximum‐entropy approximants. International Journal for Numerical Methods in Engineering. 82(7). 868–895. 53 indexed citations
18.
Millán, Daniel, Laura Dempere‐Marco, José M. Pozo, Juan R. Cebral, & Alejandro F. Frangi. (2007). Morphological Characterization of Intracranial Aneurysms Using 3-D Moment Invariants. IEEE Transactions on Medical Imaging. 26(9). 1270–1282. 66 indexed citations
19.
Cebral, Juan R., Marcelo A. Castro, Sunil Appanaboyina, et al.. (2005). Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity. IEEE Transactions on Medical Imaging. 24(4). 457–467. 445 indexed citations
20.
Cebral, Juan R., Marcelo A. Castro, Daniel Millán, Alejandro F. Frangi, & Christopher M. Putman. (2005). Pilot clinical study of aneurysm rupture using image-based computational fluid dynamics models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5746. 245–245. 12 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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