Fathollah Varnik

3.4k total citations
94 papers, 2.7k citations indexed

About

Fathollah Varnik is a scholar working on Materials Chemistry, Computational Mechanics and Condensed Matter Physics. According to data from OpenAlex, Fathollah Varnik has authored 94 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Materials Chemistry, 43 papers in Computational Mechanics and 21 papers in Condensed Matter Physics. Recurrent topics in Fathollah Varnik's work include Material Dynamics and Properties (35 papers), Lattice Boltzmann Simulation Studies (33 papers) and Theoretical and Computational Physics (20 papers). Fathollah Varnik is often cited by papers focused on Material Dynamics and Properties (35 papers), Lattice Boltzmann Simulation Studies (33 papers) and Theoretical and Computational Physics (20 papers). Fathollah Varnik collaborates with scholars based in Germany, France and United Kingdom. Fathollah Varnik's co-authors include Dierk Raabe, J. Baschnagel, Kurt Binder, Timm Krüger, M. Gross, Wolfgang Paul, Ingo Steinbach, Ludovic Berthier, Lydéric Bocquet and Jean‐Louis Barrat and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Fathollah Varnik

93 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fathollah Varnik Germany 26 1.4k 884 621 437 412 94 2.7k
Thierry Biben France 34 1.2k 0.9× 702 0.8× 1.2k 2.0× 273 0.6× 655 1.6× 62 3.2k
P. J. Hoogerbrugge Netherlands 5 2.1k 1.5× 662 0.7× 688 1.1× 243 0.6× 551 1.3× 7 3.3k
J.M. Rallison United Kingdom 29 836 0.6× 2.1k 2.4× 990 1.6× 148 0.3× 1.9k 4.5× 48 3.8k
V. Kumaran India 31 664 0.5× 1.8k 2.0× 694 1.1× 113 0.3× 577 1.4× 166 3.0k
J. P. Wittmer France 32 1.9k 1.3× 525 0.6× 538 0.9× 611 1.4× 529 1.3× 76 3.2k
Jörg Rottler Canada 31 2.6k 1.8× 225 0.3× 446 0.7× 468 1.1× 385 0.9× 115 3.9k
Peter A. Thompson United States 13 1.0k 0.7× 1.4k 1.6× 1.3k 2.1× 293 0.7× 336 0.8× 14 3.7k
Markus Rauscher Germany 22 864 0.6× 556 0.6× 427 0.7× 164 0.4× 135 0.3× 48 1.8k
Edmund B. Webb United States 25 710 0.5× 298 0.3× 258 0.4× 99 0.2× 56 0.1× 66 1.6k
Matthias Sperl Germany 29 1.5k 1.0× 584 0.7× 509 0.8× 496 1.1× 167 0.4× 107 2.9k

Countries citing papers authored by Fathollah Varnik

Since Specialization
Citations

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

Fields of papers citing papers by Fathollah Varnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fathollah Varnik

This figure shows the co-authorship network connecting the top 25 collaborators of Fathollah Varnik. A scholar is included among the top collaborators of Fathollah Varnik 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 Fathollah Varnik. Fathollah Varnik 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.
Norouzi, Mohammad, et al.. (2024). Flow field prediction in bed configurations: A parametric spatio-temporal convolutional autoencoder approach. Numerical Heat Transfer Part B Fundamentals. 86(12). 4247–4270. 1 indexed citations
2.
Varnik, Fathollah, et al.. (2024). Diffusion of small-size aliphatic alcohols and the chemical actuation of shape memory polyurethane. Smart Materials and Structures. 33(7). 75021–75021. 1 indexed citations
3.
Varnik, Fathollah, et al.. (2023). Spatially resolved investigation of flame particle interaction in a two dimensional model packed bed. Particuology. 85. 167–185. 7 indexed citations
4.
Janiga, Gábor, et al.. (2023). Modeling Gas Flows in Packed Beds with the Lattice Boltzmann Method: Validation Against Experiments. Flow Turbulence and Combustion. 111(2). 463–491. 7 indexed citations
5.
6.
Varnik, Fathollah, et al.. (2022). Rejuvenation in Deep Thermal Cycling of a Generic Model Glass: A Study of Per-Particle Energy Distribution. Materials. 15(3). 829–829. 5 indexed citations
7.
Varnik, Fathollah, et al.. (2022). Temperature Rise Inside Shear Bands in a Simple Model Glass. International Journal of Molecular Sciences. 23(20). 12159–12159. 4 indexed citations
8.
Varnik, Fathollah, et al.. (2022). Enhanced dynamics in deep thermal cycling of a model glass. The Journal of Chemical Physics. 156(23). 234501–234501. 3 indexed citations
9.
Varnik, Fathollah, et al.. (2021). A Mechanical Analysis of Chemically Stimulated Linear Shape Memory Polymer Actuation. Materials. 14(3). 481–481. 13 indexed citations
10.
Eggeler, Gunther, et al.. (2021). On the Size Effect of Additives in Amorphous Shape Memory Polymers. Materials. 14(2). 327–327. 6 indexed citations
11.
Krüger, Timm, et al.. (2021). Geometry and Flow Properties Affect the Phase Shift between Pressure and Shear Stress Waves in Blood Vessels. Fluids. 6(11). 378–378. 12 indexed citations
12.
Reiter, Andreas, et al.. (2020). Interface tracking characteristics of color-gradient lattice Boltzmann model for immiscible fluids. Physical review. E. 101(1). 13313–13313. 5 indexed citations
13.
Voigtmann, Thomas, et al.. (2020). Multiple character of non-monotonic size-dependence for relaxation dynamics in polymer-particle and binary mixtures. Journal of Physics Condensed Matter. 32(27). 275104–275104. 3 indexed citations
14.
Galenko, P. K., et al.. (2020). Thin interface limit of the double-sided phase-field model with convection. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 378(2171). 20190540–20190540. 11 indexed citations
15.
Varnik, Fathollah, et al.. (2019). Non-monotonic effect of additive particle size on the glass transition in polymers. The Journal of Chemical Physics. 150(2). 24903–24903. 7 indexed citations
16.
Vakili, Samad, Ingo Steinbach, & Fathollah Varnik. (2019). Controlling bubble coalescence in metallic foams: A simple phase field-based approach. Computational Materials Science. 173. 109437–109437. 9 indexed citations
17.
Varnik, Fathollah, et al.. (2019). Probing the Degree of Heterogeneity within a Shear Band of a Model Glass. Physical Review Letters. 123(19). 195502–195502. 38 indexed citations
18.
Gross, M. & Fathollah Varnik. (2018). Shear-density coupling for a compressible single-component yield-stress fluid. Soft Matter. 14(22). 4577–4590. 4 indexed citations
19.
Neuking, K., et al.. (2018). The Influence of Water and Solvent Uptake on Functional Properties of Shape-Memory Polymers. International Journal of Polymer Science. 2018. 1–15. 13 indexed citations
20.
Neuking, K., et al.. (2016). Diffusion of small molecules in a shape memory polymer. Journal of Materials Science. 51(21). 9792–9804. 13 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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