Yohan Davit

1.9k total citations
39 papers, 1.3k citations indexed

About

Yohan Davit is a scholar working on Computational Mechanics, Biomedical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Yohan Davit has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 10 papers in Biomedical Engineering and 9 papers in Computational Theory and Mathematics. Recurrent topics in Yohan Davit's work include Lattice Boltzmann Simulation Studies (9 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Rheology and Fluid Dynamics Studies (8 papers). Yohan Davit is often cited by papers focused on Lattice Boltzmann Simulation Studies (9 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Rheology and Fluid Dynamics Studies (8 papers). Yohan Davit collaborates with scholars based in France, United Kingdom and United States. Yohan Davit's co-authors include Michel Quintard, James M. Osborne, Joe Pitt‐Francis, William P. J. Smith, Kevin R. Foster, Gérald Debenest, Sylvie Lorthois, Brian D. Wood, David J. Gavaghan and Wook Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Yohan Davit

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yohan Davit France 18 315 248 230 166 131 39 1.3k
Scott W. McCue Australia 26 268 0.9× 435 1.8× 236 1.0× 50 0.3× 77 0.6× 109 1.9k
Soo Hyung Park South Korea 24 616 2.0× 601 2.4× 113 0.5× 55 0.3× 32 0.2× 147 2.3k
Jaap Molenaar Netherlands 24 407 1.3× 101 0.4× 110 0.5× 49 0.3× 26 0.2× 111 1.6k
Laurent David France 29 336 1.1× 975 3.9× 155 0.7× 196 1.2× 85 0.6× 125 2.5k
Ping Fu China 14 372 1.2× 112 0.5× 130 0.6× 43 0.3× 100 0.8× 53 1.1k
Xuehui Chen China 29 886 2.8× 229 0.9× 724 3.1× 18 0.1× 27 0.2× 134 2.5k
Zhan Zhan China 18 164 0.5× 32 0.1× 176 0.8× 41 0.2× 61 0.5× 296 1.5k
S-H Chen Taiwan 27 428 1.4× 187 0.8× 368 1.6× 11 0.1× 80 0.6× 141 2.2k
Jung-Hee Seo United States 21 179 0.6× 1.0k 4.0× 286 1.2× 140 0.8× 11 0.1× 73 1.8k
Zibin Wang China 18 390 1.2× 43 0.2× 115 0.5× 18 0.1× 33 0.3× 87 1.3k

Countries citing papers authored by Yohan Davit

Since Specialization
Citations

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

Fields of papers citing papers by Yohan Davit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohan Davit

This figure shows the co-authorship network connecting the top 25 collaborators of Yohan Davit. A scholar is included among the top collaborators of Yohan Davit 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 Yohan Davit. Yohan Davit 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.
Davit, Yohan, et al.. (2024). Functionality integration in stereolithography 3D printed microfluidics using a “print-pause-print” strategy. Lab on a Chip. 24(14). 3508–3520. 5 indexed citations
2.
3.
Latché, Jean‐Claude, et al.. (2022). A modified Darcy’s law for viscoelastic flows of highly dilute polymer solutions through porous media. Journal of Non-Newtonian Fluid Mechanics. 309. 104919–104919. 4 indexed citations
4.
Latché, J.‐C., et al.. (2022). Birefringent strands drive the flow of viscoelastic fluids past obstacles. Journal of Fluid Mechanics. 948. 14 indexed citations
5.
Berg, Maxime, et al.. (2022). A few upstream bifurcations drive the spatial distribution of red blood cells in model microfluidic networks. Soft Matter. 18(7). 1463–1478. 15 indexed citations
6.
Davarzani, Hossein, et al.. (2022). Influence of the fluid–fluid drag on the pressure drop in simulations of two-phase flows through porous flow cells. International Journal of Multiphase Flow. 149. 103987–103987. 3 indexed citations
7.
Smith, William P. J., Maj Brodmann, Daniel Unterweger, et al.. (2020). The evolution of tit-for-tat in bacteria via the type VI secretion system. Nature Communications. 11(1). 5395–5395. 35 indexed citations
8.
Frost, Isabel, William P. J. Smith, Sara Mitri, et al.. (2018). Cooperation, competition and antibiotic resistance in bacterial colonies. The ISME Journal. 12(6). 1582–1593. 149 indexed citations
9.
Peyrounette, Myriam, Yohan Davit, Michel Quintard, & Sylvie Lorthois. (2018). Multiscale modelling of blood flow in cerebral microcirculation: Details at capillary scale control accuracy at the level of the cortex. PLoS ONE. 13(1). e0189474–e0189474. 75 indexed citations
10.
Davit, Yohan & Michel Quintard. (2018). One-Phase and Two-Phase Flow in Highly Permeable Porous Media. Heat Transfer Engineering. 40(5-6). 391–409. 13 indexed citations
11.
Davit, Yohan & Michel Quintard. (2017). Technical Notes on Volume Averaging in Porous Media I: How to Choose a Spatial Averaging Operator for Periodic and Quasiperiodic Structures. Transport in Porous Media. 119(3). 555–584. 22 indexed citations
12.
Loubens, Romain de, et al.. (2016). Transition in the Flow of Power-Law Fluids through Isotropic Porous Media. Physical Review Letters. 117(7). 74502–74502. 36 indexed citations
13.
Smith, William P. J., Yohan Davit, James M. Osborne, et al.. (2016). Cell morphology drives spatial patterning in microbial communities. Proceedings of the National Academy of Sciences. 114(3). E280–E286. 114 indexed citations
14.
Davit, Yohan, Helen M. Byrne, James M. Osborne, et al.. (2013). Hydrodynamic dispersion within porous biofilms. Physical Review E. 87(1). 12718–12718. 35 indexed citations
15.
Davit, Yohan, James M. Osborne, Helen M. Byrne, David J. Gavaghan, & Joe Pitt‐Francis. (2013). Validity of the Cauchy-Born rule applied to discrete cellular-scale models of biological tissues. Physical Review E. 87(4). 42724–42724. 8 indexed citations
16.
Mirams, Gary R., Christopher J. Arthurs, Miguel O. Bernabéu, et al.. (2013). Chaste: An Open Source C++ Library for Computational Physiology and Biology. PLoS Computational Biology. 9(3). e1002970–e1002970. 285 indexed citations
17.
Davit, Yohan, Christopher G. Bell, Helen M. Byrne, et al.. (2013). Homogenization via formal multiscale asymptotics and volume averaging: How do the two techniques compare?. Advances in Water Resources. 62. 178–206. 112 indexed citations
18.
Davit, Yohan, et al.. (2010). Imaging biofilm in porous media using X-ray computed microtomography. Journal of Microscopy. 242(1). 15–25. 72 indexed citations
19.
Davit, Yohan, Michel Quintard, & Gérald Debenest. (2010). Equivalence between volume averaging and moments matching techniques for mass transport models in porous media. International Journal of Heat and Mass Transfer. 53(21-22). 4985–4993. 22 indexed citations
20.
Davit, Yohan & Philippe Peyla. (2008). Intriguing viscosity effects in confined suspensions: A numerical study. Europhysics Letters (EPL). 83(6). 64001–64001. 25 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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