F. Lacas

1.8k citations
29 papers · 1.5k · h-index 18

Impact in

Papers in

F. Lacas

29 papers receiving 1.5k citations

Peers

F. Lacas
Comparison fields: 5 of 56
  • Fluid Flow and Transfer Processes 805
  • Computational Mechanics 1.2k
  • Safety, Risk, Reliability and Quality 281
  • Aerospace Engineering 366
  • Radiology, Nuclear Medicine and Imaging 296
Replace Benoît Fiorina with:
Benoît Fiorina France
Mitsuhiro Tsue Japan
Vladimir Sabelnikov France
Nasser Darabiha France
J.C. Rolon France
Bruno Renou France
Goro Masuya Japan
Isaac Boxx Germany
Sébastien Ducruix France
Takashi Niioka Japan
F. Lacas relative to Benoît Fiorina France Benoît Fiorina's profile →
Citations per field
00.5×1.5×
Benoît Fiorina · 1×
Citations per year

Countries citing papers authored by F. Lacas

Since Specialization
Citations

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

Fields of papers citing papers by F. Lacas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Lacas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Lacas Line = papers co-authored together F. Lacas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004274
2 2006270
3 2001201
4 2001128
5 2010121
6 199353
7 200447
8 200147
9 200544
10 200543
11 200229
12 199928
13 199226
14 200424
15 199822
16 200020
17 199617
18 200317
19 199116
20 199415

About F. Lacas

F. Lacas is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Aerospace Engineering, Safety, Risk, Reliability and Quality and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Combustion and flame dynamics (27 papers), Advanced Combustion Engine Technologies (19 papers), Radiative Heat Transfer Studies (5 papers), Plasma Applications and Diagnostics (4 papers), Fire dynamics and safety research (4 papers), Heat transfer and supercritical fluids (4 papers), Rocket and propulsion systems research (3 papers) and Laser-induced spectroscopy and plasma (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (805 citations), Computational Mechanics (1.2k citations), Safety, Risk, Reliability and Quality (281 citations), Aerospace Engineering (366 citations) and Radiology, Nuclear Medicine and Imaging (296 citations). F. Lacas has collaborated with scholars based in France, Germany and United States. Frequent co-authors include David Galley, Sébastien Candel, Denis Veynante, Sébastien Ducruix, M.Q. McQuay, Nasser Darabiha, J.C. Rolon, Thierry Poinsot, Christophe O. Laux and Deanna A. Lacoste. Their work appears in journals such as Combustion Science and Technology, Combustion and Flame, SAE technical papers on CD-ROM/SAE technical paper series, Experiments in Fluids and Proceedings of the Combustion Institute.

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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