Pierre Dauby

1.2k total citations
85 papers, 861 citations indexed

About

Pierre Dauby is a scholar working on Computational Mechanics, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Pierre Dauby has authored 85 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computational Mechanics, 25 papers in Cardiology and Cardiovascular Medicine and 25 papers in Biomedical Engineering. Recurrent topics in Pierre Dauby's work include Fluid Dynamics and Thin Films (30 papers), Cardiovascular Function and Risk Factors (19 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). Pierre Dauby is often cited by papers focused on Fluid Dynamics and Thin Films (30 papers), Cardiovascular Function and Risk Factors (19 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). Pierre Dauby collaborates with scholars based in Belgium, New Zealand and France. Pierre Dauby's co-authors include G. Lebon, Thomas Desaive, Pierre Colinet, Hatim Machrafi, J. Geoffrey Chase, Antoine Pironet, V. Regnier, Paul D. Docherty, Carlo Saverio Iorio and Philippe Kolh and has published in prestigious journals such as PLoS ONE, Journal of Fluid Mechanics and Journal of Colloid and Interface Science.

In The Last Decade

Pierre Dauby

82 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Dauby Belgium 18 401 292 179 171 131 85 861
Thomas Fröhlich Germany 15 134 0.3× 363 1.2× 22 0.1× 84 0.5× 27 0.2× 160 950
Fande Kong United States 13 224 0.6× 71 0.2× 34 0.2× 347 2.0× 19 0.1× 28 845
Liu Ju China 16 264 0.7× 201 0.7× 44 0.2× 84 0.5× 42 0.3× 61 780
Enzo A. Dari Argentina 16 668 1.7× 80 0.3× 81 0.5× 34 0.2× 44 0.3× 42 893
Nicolas Bénard France 33 1.2k 3.0× 66 0.2× 59 0.3× 322 1.9× 93 0.7× 90 3.1k
Marina Vidrascu France 15 622 1.6× 134 0.5× 70 0.4× 14 0.1× 53 0.4× 41 945
Oliver Rheinbach Germany 19 689 1.7× 156 0.5× 38 0.2× 11 0.1× 66 0.5× 56 927
H. F. Bauer Germany 18 775 1.9× 116 0.4× 17 0.1× 97 0.6× 8 0.1× 123 1.2k
Egon Krause Germany 15 341 0.9× 59 0.2× 36 0.2× 21 0.1× 22 0.2× 52 584
Tony W. H. Sheu Taiwan 19 404 1.0× 333 1.1× 9 0.1× 136 0.8× 20 0.2× 54 767

Countries citing papers authored by Pierre Dauby

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Dauby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Dauby

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Dauby. A scholar is included among the top collaborators of Pierre Dauby 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 Pierre Dauby. Pierre Dauby 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.
Machrafi, Hatim & Pierre Dauby. (2023). Impact of initial conditions and gas dynamics on the evaporation of a sessile droplet in microgravity and on-ground explained by a numerical model. International Journal of Heat and Mass Transfer. 204. 123867–123867. 2 indexed citations
2.
Dauby, Pierre, et al.. (2021). Frank-Starling mechanism, fluid responsiveness, and length-dependent activation: Unravelling the multiscale behaviors with an in silico analysis. PLoS Computational Biology. 17(10). e1009469–e1009469. 12 indexed citations
3.
Desaive, Thomas, et al.. (2020). Model-Based Weaning Tests for VA-ECLS Therapy. Computational and Mathematical Methods in Medicine. 2020. 1–15. 1 indexed citations
4.
Lascano, Elena C., et al.. (2018). Experimental assessment of a myocyte-based multiscale model of cardiac contractile dysfunction. Journal of Theoretical Biology. 456. 16–28. 4 indexed citations
5.
Machrafi, Hatim, Carlo Saverio Iorio, & Pierre Dauby. (2014). Relation between convective thermal patterns and heat flux through an evaporating surface via 2D and 3D numerical simulations. Interfacial phenomena and heat transfer. 2(3). 1 indexed citations
6.
Pironet, Antoine, et al.. (2013). Simulation of Left Atrial Function Using a Multi-Scale Model of the Cardiovascular System. PLoS ONE. 8(6). e65146–e65146. 20 indexed citations
7.
Desaive, Thomas, Bernard Lambermont, Nathalie Janssen, et al.. (2012). Assessment of ventricular contractility and ventricular-arterial coupling with a model-based sensor. Computer Methods and Programs in Biomedicine. 109(2). 182–189. 6 indexed citations
8.
Moorhead, Katherine T., J. Geoffrey Chase, Philippe Kolh, et al.. (2011). A simplified model for mitral valve dynamics. Computer Methods and Programs in Biomedicine. 109(2). 190–196. 1 indexed citations
9.
Chase, J. Geoffrey, Bernard Lambermont, Christopher E. Hann, et al.. (2010). Subject-specific cardiovascular system model-based identification and diagnosis of septic shock with a minimally invasive data set: animal experiments and proof of concept. Physiological Measurement. 32(1). 65–82. 4 indexed citations
10.
Desaive, Thomas, Bernard Lambermont, Nathalie Janssen, et al.. (2008). Model-Based Assessment of Right Ventricular Arterial Coupling During Septic Shock – Results With a Porcine Model. Intensive Care Medicine. 34. 1 indexed citations
11.
Chase, J. Geoffrey, C.E. Hann, Geoffrey M. Shaw, et al.. (2008). Model-based identification and diagnosis of a porcine model of induced endotoxic shock with hemofiltration. Mathematical Biosciences. 216(2). 132–139. 25 indexed citations
12.
Dauby, Pierre. (2007). Mécanique des milieux continus. Open Repository and Bibliography (University of Liège). 4 indexed citations
13.
Desaive, Thomas, Bernard Lambermont, Philippe Kolh, et al.. (2005). Closed-loop model of the cardiovascular system including ventricular interaction and valve dynamics: application to pulmonary embolism. Open Repository and Bibliography (University of Liège). 6 indexed citations
14.
Dauby, Pierre, et al.. (2005). Improved 1.5-sided model for the weakly nonlinear study of Bénard–Marangoni instabilities in an evaporating liquid layer. Journal of Colloid and Interface Science. 290(1). 220–230. 22 indexed citations
15.
Dauby, Pierre, et al.. (2002). Generalized Fourier equations and thermoconvective instabilities. Open Repository and Bibliography (University of Liège). 11 indexed citations
16.
Johnson, Duane, R. Narayanan, & Pierre Dauby. (1999). The Effect of Air Height on the Pattern Formation in Liquid-Air Bilayer Convection. Open Repository and Bibliography (University of Liège). 2 indexed citations
17.
Dauby, Pierre, et al.. (1996). Influence of surface deformability on weakly nonlinear Marangoni instability. Open Repository and Bibliography (University of Liège). 1 indexed citations
18.
Lebon, G. & Pierre Dauby. (1992). Surface-tension driven convection in finite-size containers. Open Repository and Bibliography (University of Liège). 1 indexed citations
19.
Dauby, Pierre & G. Lebon. (1991). Microscopic rheological models and extended irreversible thermodynamics. Applied Mathematics Letters. 4(6). 39–43. 2 indexed citations
20.
Dauby, Pierre, et al.. (1987). Superspace formulation of N=2 pseudomechanics and superpotentials. Journal of Mathematical Physics. 28(2). 477–484. 3 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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