D. Lakehal

3.6k total citations
110 papers, 2.8k citations indexed

About

D. Lakehal is a scholar working on Computational Mechanics, Ocean Engineering and Biomedical Engineering. According to data from OpenAlex, D. Lakehal has authored 110 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Computational Mechanics, 35 papers in Ocean Engineering and 29 papers in Biomedical Engineering. Recurrent topics in D. Lakehal's work include Fluid Dynamics and Heat Transfer (40 papers), Fluid Dynamics and Turbulent Flows (39 papers) and Particle Dynamics in Fluid Flows (31 papers). D. Lakehal is often cited by papers focused on Fluid Dynamics and Heat Transfer (40 papers), Fluid Dynamics and Turbulent Flows (39 papers) and Particle Dynamics in Fluid Flows (31 papers). D. Lakehal collaborates with scholars based in Switzerland, France and United States. D. Lakehal's co-authors include Chidambaram Narayanan, Marco Fulgosi, Petar Liovic, W. Rodi, G. Yadigaroglu, S. Banerjee, Georgios Theodoridis, M. Meier, Valerio De Angelis and Sanjoy Banerjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

D. Lakehal

110 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
D. Lakehal Switzerland 32 1.9k 669 657 633 632 110 2.8k
Ryoichi Kurose Japan 37 3.6k 1.9× 1.3k 1.9× 806 1.2× 651 1.0× 347 0.5× 234 4.6k
Bendiks Jan Boersma Netherlands 36 3.1k 1.6× 495 0.7× 669 1.0× 879 1.4× 423 0.7× 94 3.5k
F. Moukalled Lebanon 24 2.1k 1.1× 713 1.1× 231 0.4× 394 0.6× 769 1.2× 108 3.1k
Weeratunge Malalasekera United Kingdom 21 2.3k 1.3× 689 1.0× 397 0.6× 1.1k 1.8× 1.0k 1.6× 105 4.5k
M. Darwish Lebanon 20 1.8k 1.0× 397 0.6× 208 0.3× 384 0.6× 544 0.9× 82 2.6k
Pablo M. Carrica United States 39 2.8k 1.5× 542 0.8× 2.7k 4.1× 1.1k 1.8× 607 1.0× 131 4.3k
Robert S. Brodkey United States 27 2.3k 1.2× 641 1.0× 646 1.0× 515 0.8× 676 1.1× 80 3.3k
M. P. Escudier United Kingdom 29 2.4k 1.3× 511 0.8× 513 0.8× 575 0.9× 561 0.9× 76 3.1k
Chunxiao Xu China 26 1.8k 0.9× 159 0.2× 460 0.7× 495 0.8× 405 0.6× 210 2.3k
Rajnish N. Sharma New Zealand 27 888 0.5× 352 0.5× 201 0.3× 892 1.4× 476 0.8× 135 2.0k

Countries citing papers authored by D. Lakehal

Since Specialization
Citations

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

Fields of papers citing papers by D. Lakehal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Lakehal

This figure shows the co-authorship network connecting the top 25 collaborators of D. Lakehal. A scholar is included among the top collaborators of D. Lakehal 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 D. Lakehal. D. Lakehal 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.
Lakehal, D., et al.. (2022). Predicting pressure-drop for pseudo-homogeneous slurry flows using the mixture model at high solids concentrations. International Journal of Multiphase Flow. 159. 104339–104339. 12 indexed citations
2.
Narayanan, Chidambaram, et al.. (2022). Integrating supervised learning and applied computational multi-fluid dynamics. International Journal of Multiphase Flow. 157. 104221–104221. 3 indexed citations
3.
Taylor, Simon J. E., Anastasia Anagnostou, Tamás Kiss, et al.. (2018). Enabling Cloud-Based Computational Fluid Dynamics With a Platform-as-a-Service Solution. IEEE Transactions on Industrial Informatics. 15(1). 85–94. 24 indexed citations
4.
Buongiorno, Jacopo, et al.. (2015). CFD-informed unified closure relation for the rise velocity of Taylor bubbles in pipes. Bulletin of the American Physical Society. 2 indexed citations
5.
Lakehal, D.. (2013). Advanced simulation of transient multiphase flow & flow assurance in the oil & gas industry. The Canadian Journal of Chemical Engineering. 91(7). 1201–1214. 23 indexed citations
6.
Lakehal, D., et al.. (2012). Turbulent exchange mechanisms in bubble plumes. International Journal of Multiphase Flow. 47. 141–149. 6 indexed citations
7.
Lakehal, D., et al.. (2011). New Trends in Multiscale and Multiphysics Simulation of Transport Phenomena in Novel Engineering Systems. Journal of Applied Fluid Mechanics. 4(2). 1 indexed citations
8.
Lakehal, D. & Petar Liovic. (2011). Turbulence structure and interaction with steep breaking waves. Journal of Fluid Mechanics. 1–56. 3 indexed citations
9.
Icardi, Matteo, Emmanuela Gavi, Daniele Marchisio, et al.. (2010). Validation of LES predictions for turbulent flow in a Confined Impinging Jets Reactor. Applied Mathematical Modelling. 35(4). 1591–1602. 36 indexed citations
10.
Lakehal, D., Marco Fulgosi, & G. Yadigaroglu. (2008). Direct Numerical Simulation of Condensing Stratified Flow. Journal of Heat Transfer. 130(2). 42 indexed citations
11.
Walker, S.P., et al.. (2008). Comparison of measured and modelled droplet–hot wall interactions. Applied Thermal Engineering. 29(7). 1398–1405. 34 indexed citations
12.
Lucas, Dirk, D. Bestion, M. Scheuerer, et al.. (2007). On the Simulation of Two-Phase Flow Pressurized Thermal Shock (PTS). DORA PSI (Paul Scherrer Institute). 358–379. 11 indexed citations
13.
Yadigaroglu, G., et al.. (2007). CFD4NRS with a focus on experimental and CMFD investigations of bubbly flows. Nuclear Engineering and Design. 238(3). 771–785. 3 indexed citations
14.
Lakehal, D., et al.. (2006). Simulation of filling of microfluidic devices using a coarse-grained continuum contact angle model. TechConnect Briefs. 2(2006). 493–496. 2 indexed citations
15.
Lakehal, D.. (2005). Sub-grid scale modelling for the les of interfacial gas-liquid flows. La Houille Blanche. 125–131. 5 indexed citations
16.
Yadigaroglu, G. & D. Lakehal. (2005). New Challenges in Computational Thermal Hydraulics. Nuclear Technology. 152(2). 239–251. 5 indexed citations
17.
Vincent, Stéphane, et al.. (2004). TEST-CASE NO 27: INTERFACE TRACKING BASED ON AN IMPOSED VELOCITY FIELD IN A CONVERGENT-DIVERGENT CHANNEL (PN). Multiphase Science and Technology. 16(1-3). 165–170. 1 indexed citations
18.
Banerjee, Sanjoy, D. Lakehal, & Marco Fulgosi. (2004). Surface divergence models for scalar exchange between turbulent streams. International Journal of Multiphase Flow. 30(7-8). 963–977. 86 indexed citations
19.
Delaunay, Didier, et al.. (1997). Numerical and wind tunnel simulation of gas dispersion around a rectangular building. Journal of Wind Engineering and Industrial Aerodynamics. 67-68. 721–732. 17 indexed citations
20.
Lakehal, D., P.G. Mestayer, James B. Edson, Sandrine Anquetin, & J.-F. Sini. (1995). Eulero-Lagrangian simulation of raindrop trajectories and impacts within the urban canopy. Atmospheric Environment. 29(23). 3501–3517. 42 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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