Jorge Viñals

3.5k total citations
121 papers, 2.7k citations indexed

About

Jorge Viñals is a scholar working on Materials Chemistry, Condensed Matter Physics and Computer Networks and Communications. According to data from OpenAlex, Jorge Viñals has authored 121 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Materials Chemistry, 37 papers in Condensed Matter Physics and 32 papers in Computer Networks and Communications. Recurrent topics in Jorge Viñals's work include Nonlinear Dynamics and Pattern Formation (31 papers), Theoretical and Computational Physics (29 papers) and Solidification and crystal growth phenomena (21 papers). Jorge Viñals is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (31 papers), Theoretical and Computational Physics (29 papers) and Solidification and crystal growth phenomena (21 papers). Jorge Viñals collaborates with scholars based in United States, Spain and Canada. Jorge Viñals's co-authors include Morton E. Gurtin, Debra A. Polignone, Wenbin Zhang, Peilong Chen, J. D. Gunton, Martin Grant, Denis Boyer, W. W. Mullins, K. R. Elder and François Drolet and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Journal of Fluid Mechanics.

In The Last Decade

Jorge Viñals

116 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Viñals United States 28 1.2k 759 699 695 412 121 2.7k
D. Walgraef Belgium 26 940 0.8× 339 0.4× 883 1.3× 378 0.5× 544 1.3× 114 2.4k
Klaus Kassner Germany 25 1.2k 0.9× 567 0.7× 286 0.4× 413 0.6× 147 0.4× 108 2.1k
Alexander Nepomnyashchy Israel 32 1.4k 1.1× 2.0k 2.7× 1.6k 2.2× 462 0.7× 696 1.7× 251 3.6k
Rashmi C. Desai Canada 31 1.6k 1.3× 429 0.6× 227 0.3× 887 1.3× 543 1.3× 98 3.3k
S. Heß Germany 40 1.2k 1.0× 364 0.5× 243 0.3× 258 0.4× 362 0.9× 182 4.5k
M. Giglio Italy 33 1.1k 0.9× 914 1.2× 257 0.4× 368 0.5× 803 1.9× 92 3.3k
Sanjay Puri India 34 3.0k 2.4× 780 1.0× 358 0.5× 2.2k 3.1× 631 1.5× 206 4.6k
G. Ananthakrishna India 26 916 0.7× 176 0.2× 210 0.3× 518 0.7× 379 0.9× 130 2.1k
W. D. McCormick United States 27 500 0.4× 791 1.0× 1.5k 2.1× 410 0.6× 644 1.6× 51 2.7k
W. Pesch Germany 32 376 0.3× 969 1.3× 1.5k 2.2× 1.3k 1.9× 344 0.8× 105 3.4k

Countries citing papers authored by Jorge Viñals

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Viñals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Viñals

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Viñals. A scholar is included among the top collaborators of Jorge Viñals 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 Jorge Viñals. Jorge Viñals 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.
Joshi, Shailendra P., Ashley Bucsek, Darren C. Pagan, et al.. (2025). Integrated experiment and simulation co-design: A key infrastructure for predictive mesoscale materials modeling. Mechanics of Materials. 211. 105480–105480.
2.
Viñals, Jorge, et al.. (2025). Chiral ground states in a nematic liquid crystal confined to a cylinder with homeotropic anchoring. Soft Matter. 21(19). 3768–3781.
3.
Leo, Perry H., et al.. (2024). Sublimation of isolated toric focal conic domains on micro-patterned surfaces. Soft Matter. 20(9). 2040–2051. 3 indexed citations
4.
Upadhyay, Manas Vijay & Jorge Viñals. (2024). Coupling Phase Field Crystal and Field Dislocation Mechanics for a consistent description of dislocation structure and elasticity. European Journal of Mechanics - A/Solids. 108. 105419–105419. 1 indexed citations
5.
Angheluta, Luiza, et al.. (2024). A computational study of nematic core structure and disclination interactions in elastically anisotropic nematics. Soft Matter. 20(13). 2900–2914. 1 indexed citations
6.
Viñals, Jorge, et al.. (2022). Equilibrium morphology of tactoids in elastically anisotropic nematics. Soft Matter. 18(41). 8024–8033. 4 indexed citations
7.
Skaugen, Audun, et al.. (2021). Dislocation nucleation in the phase-field crystal model. Physical review. B.. 103(1). 13 indexed citations
8.
Viñals, Jorge, et al.. (2018). Electrokinetic effects in nematic suspensions: Single-particle electro-osmosis and interparticle interactions. Physical review. E. 98(2). 22703–22703. 5 indexed citations
9.
Viñals, Jorge, et al.. (2016). Electrokinetic flows in liquid crystal thin films with fixed anchoring. Soft Matter. 13(4). 725–739. 8 indexed citations
10.
Peng, Chenhui, Yubing Guo, Jorge Viñals, et al.. (2015). Liquid crystals with patterned molecular orientation as an electrolytic active medium. Physical Review E. 92(5). 52502–52502. 44 indexed citations
11.
Viñals, Jorge, et al.. (2012). Anisotropic Linear Response in Block Copolymer Lamellar Phases. Macromolecules. 45(11). 4848–4856. 6 indexed citations
12.
Mullins, W. W. & Jorge Viñals. (2002). Linear bubble model of abnormal grain growth. Acta Materialia. 50(11). 2945–2954. 10 indexed citations
13.
Viñals, Jorge, Andrzej Koliński, & Jeffrey Skolnick. (2002). Numerical Study of the Entropy Loss of Dimerization and the Folding Thermodynamics of the GCN4 Leucine Zipper. Biophysical Journal. 83(5). 2801–2811. 11 indexed citations
14.
Chen, Peilong & Jorge Viñals. (1999). Amplitude equation and pattern selection in Faraday waves. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(1). 559–570. 73 indexed citations
15.
Drolet, François & Jorge Viñals. (1999). Fluid Physics in a Fluctuating Acceleration Environment. NASA Technical Reports Server (NASA). 1 indexed citations
16.
Drolet, François & Jorge Viñals. (1998). Fluid flow induced by a random acceleration field. Microgravity Science and Technology. 11(2). 64–68.
17.
Viñals, Jorge, et al.. (1996). Statistical saturation of buoyant flow induced by a fluctuating acceleration. AIAA Journal. 34(5). 975–981. 1 indexed citations
18.
Zhang, Wenbin, Jaume Casademunt, & Jorge Viñals. (1993). Study of the parametric oscillator driven by narrow-band noise to model the response of a fluid surface to time-dependent accelerations. Physics of Fluids A Fluid Dynamics. 5(12). 3147–3161. 28 indexed citations
19.
Viñals, Jorge, et al.. (1993). Dynamic Monte Carlo renormalization-group method. Physical review. B, Condensed matter. 47(10). 5646–5652. 24 indexed citations
20.
Rickman, J. M., Jorge Viñals, Robert F. Sekerka, & W. W. Mullins. (1992). Effects of long-range crystalline order on collective diffusion in binary solids. Physical review. B, Condensed matter. 45(14). 7750–7761. 4 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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