Adrian Moure

1.5k total citations · 1 hit paper
14 papers, 902 citations indexed

About

Adrian Moure is a scholar working on Cell Biology, Computational Mechanics and Modeling and Simulation. According to data from OpenAlex, Adrian Moure has authored 14 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cell Biology, 4 papers in Computational Mechanics and 4 papers in Modeling and Simulation. Recurrent topics in Adrian Moure's work include Cellular Mechanics and Interactions (7 papers), Mathematical Biology Tumor Growth (4 papers) and Advanced Numerical Analysis Techniques (3 papers). Adrian Moure is often cited by papers focused on Cellular Mechanics and Interactions (7 papers), Mathematical Biology Tumor Growth (4 papers) and Advanced Numerical Analysis Techniques (3 papers). Adrian Moure collaborates with scholars based in United States and Spain. Adrian Moure's co-authors include Héctor Gómez, Ehsan Haghighat, Rubén Juanes, Maziar Raissi, Xiaojing Fu, Guillermo Vilanova and Colin Meyer and has published in prestigious journals such as Scientific Reports, Water Resources Research and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Adrian Moure

14 papers receiving 881 citations

Hit Papers

A physics-informed deep learning framework for inversion ... 2021 2026 2022 2024 2021 200 400 600

Peers

Adrian Moure
Liping Liu United States
Adrian Moure
Citations per year, relative to Adrian Moure Adrian Moure (= 1×) peers Liping Liu

Countries citing papers authored by Adrian Moure

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Moure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Moure

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

All Works

14 of 14 papers shown
1.
Moure, Adrian, et al.. (2024). Pattern formation of freezing infiltration in porous media. Physical Review Fluids. 9(12). 1 indexed citations
2.
Moure, Adrian, et al.. (2024). Dynamic cluster field modeling of collective chemotaxis. Scientific Reports. 14(1). 25162–25162. 1 indexed citations
3.
Moure, Adrian, et al.. (2023). A Thermodynamic Nonequilibrium Model for Preferential Infiltration and Refreezing of Melt in Snow. Water Resources Research. 59(5). 7 indexed citations
4.
Moure, Adrian, et al.. (2023). Computational modeling of flow-mediated angiogenesis: Stokes–Darcy flow on a growing vessel network. Engineering With Computers. 40(2). 741–759. 4 indexed citations
5.
Moure, Adrian, Guillermo Vilanova, & Héctor Gómez. (2022). Inverting angiogenesis with interstitial flow and chemokine matrix-binding affinity. Scientific Reports. 12(1). 4237–4237. 4 indexed citations
6.
Haghighat, Ehsan, Maziar Raissi, Adrian Moure, Héctor Gómez, & Rubén Juanes. (2021). A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics. Computer Methods in Applied Mechanics and Engineering. 379. 113741–113741. 685 indexed citations breakdown →
7.
Haghighat, Ehsan, Maziar Raissi, Adrian Moure, Héctor Gómez, & Rubén Juanes. (2020). A deep learning framework for solution and discovery in solid mechanics: linear elasticity.. arXiv (Cornell University). 13 indexed citations
8.
Moure, Adrian & Héctor Gómez. (2020). Dual role of the nucleus in cell migration on planar substrates. Biomechanics and Modeling in Mechanobiology. 19(5). 1491–1508. 11 indexed citations
9.
Moure, Adrian & Héctor Gómez. (2020). Influence of myosin activity and mechanical impact on keratocyte polarization. Soft Matter. 16(22). 5177–5194. 4 indexed citations
10.
Moure, Adrian & Héctor Gómez. (2019). Phase-Field Modeling of Individual and Collective Cell Migration. Archives of Computational Methods in Engineering. 28(2). 311–344. 46 indexed citations
11.
Gómez, Héctor, et al.. (2019). A review on computational modelling of phase-transition problems. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 377(2143). 20180203–20180203. 39 indexed citations
12.
Moure, Adrian & Héctor Gómez. (2018). Three-dimensional simulation of obstacle-mediated chemotaxis. Biomechanics and Modeling in Mechanobiology. 17(5). 1243–1268. 25 indexed citations
13.
Moure, Adrian & Héctor Gómez. (2017). Phase-field model of cellular migration: Three-dimensional simulations in fibrous networks. Computer Methods in Applied Mechanics and Engineering. 320. 162–197. 41 indexed citations
14.
Moure, Adrian & Héctor Gómez. (2016). Computational model for amoeboid motion: Coupling membrane and cytosol dynamics. Physical review. E. 94(4). 42423–42423. 21 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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