Yves D’Angelo

431 total citations
29 papers, 297 citations indexed

About

Yves D’Angelo is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Statistical and Nonlinear Physics. According to data from OpenAlex, Yves D’Angelo has authored 29 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 10 papers in Fluid Flow and Transfer Processes and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Yves D’Angelo's work include Combustion and flame dynamics (14 papers), Advanced Combustion Engine Technologies (8 papers) and Fluid Dynamics and Turbulent Flows (8 papers). Yves D’Angelo is often cited by papers focused on Combustion and flame dynamics (14 papers), Advanced Combustion Engine Technologies (8 papers) and Fluid Dynamics and Turbulent Flows (8 papers). Yves D’Angelo collaborates with scholars based in France, United States and Italy. Yves D’Angelo's co-authors include Guy Joulin, Vincent Moureau, Pierre Bénard, Ghislain Lartigue, Cécile Dobrzynski, Guillaume Balarac, Christian Oliver Paschereit, Bernard Larrouturou, Long Gao and Mitchell D. Smooke and has published in prestigious journals such as Journal of Fluid Mechanics, Scientific Reports and International Journal of Hydrogen Energy.

In The Last Decade

Yves D’Angelo

28 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yves D’Angelo France 10 231 100 67 35 25 29 297
Brandon Sforzo United States 13 330 1.4× 224 2.2× 131 2.0× 35 1.0× 37 1.5× 57 445
Gautam Gauba United States 6 191 0.8× 95 0.9× 94 1.4× 17 0.5× 11 0.4× 9 251
C. Hassa Germany 11 340 1.5× 158 1.6× 60 0.9× 13 0.4× 38 1.5× 36 392
Temistocle Grenga Germany 11 316 1.4× 200 2.0× 95 1.4× 52 1.5× 10 0.4× 29 366
J. B. McVey United States 11 205 0.9× 84 0.8× 153 2.3× 30 0.9× 40 1.6× 40 343
P. A. Strakey United States 12 341 1.5× 226 2.3× 95 1.4× 57 1.6× 20 0.8× 27 378
S. M. Jeng United States 14 487 2.1× 101 1.0× 67 1.0× 28 0.8× 10 0.4× 24 522
Scott Meyer United States 14 273 1.2× 139 1.4× 282 4.2× 53 1.5× 97 3.9× 40 454
Douglas A. Feikema United States 12 416 1.8× 190 1.9× 140 2.1× 134 3.8× 23 0.9× 27 474
Colette Nicoli France 10 303 1.3× 166 1.7× 117 1.7× 89 2.5× 5 0.2× 23 328

Countries citing papers authored by Yves D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Yves D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yves D’Angelo. 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 Yves D’Angelo. The network helps show where Yves D’Angelo may publish in the future.

Co-authorship network of co-authors of Yves D’Angelo

This figure shows the co-authorship network connecting the top 25 collaborators of Yves D’Angelo. A scholar is included among the top collaborators of Yves D’Angelo 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 Yves D’Angelo. Yves D’Angelo 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.
D’Angelo, Yves, et al.. (2024). Three-dimensional numerical investigation of a suspension flow in an eccentric Couette flow geometry. Physics of Fluids. 36(2). 2 indexed citations
2.
D’Angelo, Yves, et al.. (2022). Frame-invariant modeling for non-Brownian suspension flows. Journal of Non-Newtonian Fluid Mechanics. 309. 104904–104904. 9 indexed citations
3.
Catellier, Rémi, et al.. (2021). A mean-field approach to self-interacting networks, convergence and regularity. Mathematical Models and Methods in Applied Sciences. 31(13). 2597–2641. 5 indexed citations
4.
Olivier, Alain, Yves D’Angelo, Rémi Catellier, et al.. (2020). Hyphal network whole field imaging allows for accurate estimation of anastomosis rates and branching dynamics of the filamentous fungus Podospora anserina. Scientific Reports. 10(1). 3131–3131. 15 indexed citations
5.
Tourigny, David S., et al.. (2017). Maximization of the Thermoelectric Cooling of a Graded Peltier Device by Analytical Heat-Equation Resolution. Physical Review Applied. 8(6). 8 indexed citations
6.
Bénard, Pierre, Vincent Moureau, Ghislain Lartigue, & Yves D’Angelo. (2017). Large-Eddy Simulation of a hydrogen enriched methane/air meso-scale combustor. International Journal of Hydrogen Energy. 42(4). 2397–2410. 12 indexed citations
7.
Goupil, C., Henni Ouerdane, Éric Herbert, et al.. (2016). Closed-loop approach to thermodynamics. Physical review. E. 94(3). 32136–32136. 9 indexed citations
8.
Bénard, Pierre, Guillaume Balarac, Vincent Moureau, et al.. (2015). Mesh adaptation for large‐eddy simulations in complex geometries. International Journal for Numerical Methods in Fluids. 81(12). 719–740. 74 indexed citations
9.
D’Angelo, Yves, et al.. (2012). Assessment of the Evolution Equation Modelling approach for three-dimensional expanding wrinkled premixed flames. Combustion and Flame. 159(5). 1932–1948. 6 indexed citations
10.
Truffin, Karine, et al.. (2012). Modeling the effect of flame-wall interaction on the wall heat flux. SPIRE - Sciences Po Institutional REpository. 14–14. 1 indexed citations
11.
D’Angelo, Yves, et al.. (2012). Experimental investigation of burning velocities of ultra-wet methane–air–steam mixtures. Fuel Processing Technology. 107. 27–35. 34 indexed citations
12.
Selle, Laurent, et al.. (2011). Modeling heat transfer in dilute two-phase flows using the Mesoscopic Eulerian Formalism. International Journal of Heat and Mass Transfer. 55(5-6). 1486–1495. 6 indexed citations
13.
Coghe, A., et al.. (2009). Experimental study of performances and internal flow field of a meso-scale vortex combustor. Drug Development and Industrial Pharmacy. 42(2). 1–6. 5 indexed citations
14.
Savre, Julien, et al.. (2008). A chemical time scale approach for FPI modeling. Comptes Rendus Mécanique. 336(11-12). 807–812. 5 indexed citations
15.
D’Angelo, Yves, et al.. (2005). An interface evolution problem for axisymmetric stressed pore channels. Asymptotic Analysis. 44(1-2). 131–150. 1 indexed citations
16.
D’Angelo, Yves, et al.. (2004). Existence and finite‐time blow‐up for the solution to a thin‐film surface evolution problem. Asymptotic Analysis. 38(2). 93–128. 3 indexed citations
17.
D’Angelo, Yves & Guy Joulin. (2004). Lifetimes of flame balls dragged by model turbulent flows: Role of velocity gradient fluctuations. Physical Review E. 69(3). 36304–36304. 1 indexed citations
18.
D’Angelo, Yves, et al.. (2003). Explosion en temps fini de la solution d'un problème d'évolution de surface de film mince. Comptes Rendus Mathématique. 337(8). 549–552.
19.
Gao, Long, et al.. (1996). Quantitative comparison of detailed numerical computations and experiments in counterflow spray diffusion flames. Symposium (International) on Combustion. 26(1). 1739–1746. 19 indexed citations
20.
D’Angelo, Yves & Bernard Larrouturou. (1995). Comparison and analysis of some numerical schemes for stiff complex chemistry problems. ESAIM Mathematical Modelling and Numerical Analysis. 29(3). 259–301. 9 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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